TY - JOUR T1 - Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches. JF - Front Immunol Y1 - 2024 A1 - Niarakis, Anna A1 - Ostaszewski, Marek A1 - Mazein, Alexander A1 - Kuperstein, Inna A1 - Kutmon, Martina A1 - Gillespie, Marc E A1 - Funahashi, Akira A1 - Acencio, Marcio Luis A1 - Hemedan, Ahmed A1 - Aichem, Michael A1 - Klein, Karsten A1 - Czauderna, Tobias A1 - Burtscher, Felicia A1 - Yamada, Takahiro G A1 - Hiki, Yusuke A1 - Hiroi, Noriko F A1 - Hu, Finterly A1 - Pham, Nhung A1 - Ehrhart, Friederike A1 - Willighagen, Egon L A1 - Valdeolivas, Alberto A1 - Dugourd, Aurélien A1 - Messina, Francesco A1 - Esteban-Medina, Marina A1 - Peña-Chilet, Maria A1 - Rian, Kinza A1 - Soliman, Sylvain A1 - Aghamiri, Sara Sadat A1 - Puniya, Bhanwar Lal A1 - Naldi, Aurélien A1 - Helikar, Tomáš A1 - Singh, Vidisha A1 - Fernández, Marco Fariñas A1 - Bermudez, Viviam A1 - Tsirvouli, Eirini A1 - Montagud, Arnau A1 - Noël, Vincent A1 - Ponce-de-Leon, Miguel A1 - Maier, Dieter A1 - Bauch, Angela A1 - Gyori, Benjamin M A1 - Bachman, John A A1 - Luna, Augustin A1 - Piñero, Janet A1 - Furlong, Laura I A1 - Balaur, Irina A1 - Rougny, Adrien A1 - Jarosz, Yohan A1 - Overall, Rupert W A1 - Phair, Robert A1 - Perfetto, Livia A1 - Matthews, Lisa A1 - Rex, Devasahayam Arokia Balaya A1 - Orlic-Milacic, Marija A1 - Gomez, Luis Cristobal Monraz A1 - De Meulder, Bertrand A1 - Ravel, Jean Marie A1 - Jassal, Bijay A1 - Satagopam, Venkata A1 - Wu, Guanming A1 - Golebiewski, Martin A1 - Gawron, Piotr A1 - Calzone, Laurence A1 - Beckmann, Jacques S A1 - Evelo, Chris T A1 - D'Eustachio, Peter A1 - Schreiber, Falk A1 - Saez-Rodriguez, Julio A1 - Dopazo, Joaquin A1 - Kuiper, Martin A1 - Valencia, Alfonso A1 - Wolkenhauer, Olaf A1 - Kitano, Hiroaki A1 - Barillot, Emmanuel A1 - Auffray, Charles A1 - Balling, Rudi A1 - Schneider, Reinhard KW - Computer Simulation KW - COVID-19 KW - drug repositioning KW - Humans KW - SARS-CoV-2 KW - Systems biology AB -

INTRODUCTION: The COVID-19 Disease Map project is a large-scale community effort uniting 277 scientists from 130 Institutions around the globe. We use high-quality, mechanistic content describing SARS-CoV-2-host interactions and develop interoperable bioinformatic pipelines for novel target identification and drug repurposing.

METHODS: Extensive community work allowed an impressive step forward in building interfaces between Systems Biology tools and platforms. Our framework can link biomolecules from omics data analysis and computational modelling to dysregulated pathways in a cell-, tissue- or patient-specific manner. Drug repurposing using text mining and AI-assisted analysis identified potential drugs, chemicals and microRNAs that could target the identified key factors.

RESULTS: Results revealed drugs already tested for anti-COVID-19 efficacy, providing a mechanistic context for their mode of action, and drugs already in clinical trials for treating other diseases, never tested against COVID-19.

DISCUSSION: The key advance is that the proposed framework is versatile and expandable, offering a significant upgrade in the arsenal for virus-host interactions and other complex pathologies.

VL - 14 ER - TY - JOUR T1 - Defective extracellular matrix remodeling in brown adipose tissue is associated with fibro-inflammation and reduced diet-induced thermogenesis. JF - Cell Rep Y1 - 2023 A1 - Pellegrinelli, Vanessa A1 - Figueroa-Juárez, Elizabeth A1 - Samuelson, Isabella A1 - U-Din, Mueez A1 - Rodriguez-Fdez, Sonia A1 - Virtue, Samuel A1 - Leggat, Jennifer A1 - Cubuk, Cankut A1 - Peirce, Vivian J A1 - Niemi, Tarja A1 - Campbell, Mark A1 - Rodriguez-Cuenca, Sergio A1 - Dopazo, Joaquin A1 - Carobbio, Stefania A1 - Virtanen, Kirsi A A1 - Vidal-Puig, Antonio AB -

The relevance of extracellular matrix (ECM) remodeling is reported in white adipose tissue (AT) and obesity-related dysfunctions, but little is known about the importance of ECM remodeling in brown AT (BAT) function. Here, we show that a time course of high-fat diet (HFD) feeding progressively impairs diet-induced thermogenesis concomitantly with the development of fibro-inflammation in BAT. Higher markers of fibro-inflammation are associated with lower cold-induced BAT activity in humans. Similarly, when mice are housed at thermoneutrality, inactivated BAT features fibro-inflammation. We validate the pathophysiological relevance of BAT ECM remodeling in response to temperature challenges and HFD using a model of a primary defect in the collagen turnover mediated by partial ablation of the Pepd prolidase. Pepd-heterozygous mice display exacerbated dysfunction and BAT fibro-inflammation at thermoneutrality and in HFD. Our findings show the relevance of ECM remodeling in BAT activation and provide a mechanism for BAT dysfunction in obesity.

VL - 42 IS - 6 ER - TY - JOUR T1 - Metabolic reprogramming by Acly inhibition using SB-204990 alters glucoregulation and modulates molecular mechanisms associated with aging. JF - Commun Biol Y1 - 2023 A1 - Sola-García, Alejandro A1 - Cáliz-Molina, María Ángeles A1 - Espadas, Isabel A1 - Petr, Michael A1 - Panadero-Morón, Concepción A1 - González-Morán, Daniel A1 - Martín-Vázquez, María Eugenia A1 - Narbona-Pérez, Álvaro Jesús A1 - López-Noriega, Livia A1 - Martínez-Corrales, Guillermo A1 - López-Fernández-Sobrino, Raúl A1 - Carmona-Marin, Lina M A1 - Martínez-Force, Enrique A1 - Yanes, Oscar A1 - Vinaixa, Maria A1 - López-López, Daniel A1 - Reyes, José Carlos A1 - Dopazo, Joaquin A1 - Martín, Franz A1 - Gauthier, Benoit R A1 - Scheibye-Knudsen, Morten A1 - Capilla-González, Vivian A1 - Martín-Montalvo, Alejandro AB -

ATP-citrate lyase is a central integrator of cellular metabolism in the interface of protein, carbohydrate, and lipid metabolism. The physiological consequences as well as the molecular mechanisms orchestrating the response to long-term pharmacologically induced Acly inhibition are unknown. We report here that the Acly inhibitor SB-204990 improves metabolic health and physical strength in wild-type mice when fed with a high-fat diet, while in mice fed with healthy diet results in metabolic imbalance and moderated insulin resistance. By applying a multiomic approach using untargeted metabolomics, transcriptomics, and proteomics, we determined that, in vivo, SB-204990 plays a role in the regulation of molecular mechanisms associated with aging, such as energy metabolism, mitochondrial function, mTOR signaling, and folate cycle, while global alterations on histone acetylation are absent. Our findings indicate a mechanism for regulating molecular pathways of aging that prevents the development of metabolic abnormalities associated with unhealthy dieting. This strategy might be explored for devising therapeutic approaches to prevent metabolic diseases.

VL - 6 IS - 1 ER - TY - JOUR T1 - Polystyrene nanoplastics affect transcriptomic and epigenomic signatures of human fibroblasts and derived induced pluripotent stem cells: Implications for human health. JF - Environ Pollut Y1 - 2023 A1 - Stojkovic, Miodrag A1 - Ortuño Guzmán, Francisco Manuel A1 - Han, Dongjun A1 - Stojkovic, Petra A1 - Dopazo, Joaquin A1 - Stankovic, Konstantina M AB -

Plastic pollution is increasing at an alarming rate yet the impact of this pollution on human health is poorly understood. Because human induced pluripotent stem cells (hiPSC) are frequently derived from dermal fibroblasts, these cells offer a powerful platform for the identification of molecular biomarkers of environmental pollution in human cells. Here, we describe a novel proof-of-concept for deriving hiPSC from human dermal fibroblasts deliberately exposed to polystyrene (PS) nanoplastic particles; unexposed hiPSC served as controls. In parallel, unexposed hiPSC were exposed to low and high concentrations of PS nanoparticles. Transcriptomic and epigenomic signatures of all fibroblasts and hiPSCs were defined using RNA-seq and whole genome methyl-seq, respectively. Both PS-treated fibroblasts and derived hiPSC showed alterations in expression of ESRRB and HNF1A genes and circuits involved in the pluripotency of stem cells, as well as in pathways involved in cancer, inflammatory disorders, gluconeogenesis, carbohydrate metabolism, innate immunity, and dopaminergic synapse. Similarly, the expression levels of identified key transcriptional and DNA methylation changes (DNMT3A, ESSRB, FAM133CP, HNF1A, SEPTIN7P8, and TTC34) were significantly affected in both PS-exposed fibroblasts and hiPSC. This study illustrates the power of human cellular models of environmental pollution to narrow down and prioritize the list of candidate molecular biomarkers of environmental pollution. This knowledge will facilitate the deciphering of the origins of environmental diseases.

ER - TY - JOUR T1 - Rapid degeneration of iPSC-derived motor neurons lacking Gdap1 engages a mitochondrial-sustained innate immune response. JF - Cell Death Discov Y1 - 2023 A1 - León, Marian A1 - Prieto, Javier A1 - Molina-Navarro, María Micaela A1 - Garcia-Garcia, Francisco A1 - Barneo-Muñoz, Manuela A1 - Ponsoda, Xavier A1 - Sáez, Rosana A1 - Palau, Francesc A1 - Dopazo, Joaquin A1 - Izpisua Belmonte, Juan Carlos A1 - Torres, Josema AB -

Charcot-Marie-Tooth disease is a chronic hereditary motor and sensory polyneuropathy targeting Schwann cells and/or motor neurons. Its multifactorial and polygenic origin portrays a complex clinical phenotype of the disease with a wide range of genetic inheritance patterns. The disease-associated gene GDAP1 encodes for a mitochondrial outer membrane protein. Mouse and insect models with mutations in Gdap1 have reproduced several traits of the human disease. However, the precise function in the cell types affected by the disease remains unknown. Here, we use induced-pluripotent stem cells derived from a Gdap1 knockout mouse model to better understand the molecular and cellular phenotypes of the disease caused by the loss-of-function of this gene. Gdap1-null motor neurons display a fragile cell phenotype prone to early degeneration showing (1) altered mitochondrial morphology, with an increase in the fragmentation of these organelles, (2) activation of autophagy and mitophagy, (3) abnormal metabolism, characterized by a downregulation of Hexokinase 2 and ATP5b proteins, (4) increased reactive oxygen species and elevated mitochondrial membrane potential, and (5) increased innate immune response and p38 MAP kinase activation. Our data reveals the existence of an underlying Redox-inflammatory axis fueled by altered mitochondrial metabolism in the absence of Gdap1. As this biochemical axis encompasses a wide variety of druggable targets, our results may have implications for developing therapies using combinatorial pharmacological approaches and improving therefore human welfare. A Redox-immune axis underlying motor neuron degeneration caused by the absence of Gdap1. Our results show that Gdap1 motor neurons have a fragile cellular phenotype that is prone to degeneration. Gdap1 iPSCs differentiated into motor neurons showed an altered metabolic state: decreased glycolysis and increased OXPHOS. These alterations may lead to hyperpolarization of mitochondria and increased ROS levels. Excessive amounts of ROS might be the cause of increased mitophagy, p38 activation and inflammation as a cellular response to oxidative stress. The p38 MAPK pathway and the immune response may, in turn, have feedback mechanisms, leading to the induction of apoptosis and senescence, respectively. CAC, citric acid cycle; ETC, electronic transport chain; Glc, glucose; Lac, lactate; Pyr, pyruvate.

VL - 9 IS - 1 ER - TY - JOUR T1 - Visualization of automatically combined disease maps and pathway diagrams for rare diseases. JF - Front Bioinform Y1 - 2023 A1 - Gawron, Piotr A1 - Hoksza, David A1 - Piñero, Janet A1 - Peña-Chilet, Maria A1 - Esteban-Medina, Marina A1 - Fernandez-Rueda, Jose Luis A1 - Colonna, Vincenza A1 - Smula, Ewa A1 - Heirendt, Laurent A1 - Ancien, François A1 - Grouès, Valentin A1 - Satagopam, Venkata P A1 - Schneider, Reinhard A1 - Dopazo, Joaquin A1 - Furlong, Laura I A1 - Ostaszewski, Marek AB -

Investigation of molecular mechanisms of human disorders, especially rare diseases, require exploration of various knowledge repositories for building precise hypotheses and complex data interpretation. Recently, increasingly more resources offer diagrammatic representation of such mechanisms, including disease-dedicated schematics in pathway databases and disease maps. However, collection of knowledge across them is challenging, especially for research projects with limited manpower. In this article we present an automated workflow for construction of maps of molecular mechanisms for rare diseases. The workflow requires a standardized definition of a disease using Orphanet or HPO identifiers to collect relevant genes and variants, and to assemble a functional, visual repository of related mechanisms, including data overlays. The diagrams composing the final map are unified to a common systems biology format from CellDesigner SBML, GPML and SBML+layout+render. The constructed resource contains disease-relevant genes and variants as data overlays for immediate visual exploration, including embedded genetic variant browser and protein structure viewer. We demonstrate the functionality of our workflow on two examples of rare diseases: Kawasaki disease and retinitis pigmentosa. Two maps are constructed based on their corresponding identifiers. Moreover, for the retinitis pigmentosa use-case, we include a list of differentially expressed genes to demonstrate how to tailor the workflow using omics datasets. In summary, our work allows for an ad-hoc construction of molecular diagrams combined from different sources, preserving their layout and graphical style, but integrating them into a single resource. This allows to reduce time consuming tasks of prototyping of a molecular disease map, enabling visual exploration, hypothesis building, data visualization and further refinement. The code of the workflow is open and accessible at https://gitlab.lcsb.uni.lu/minerva/automap/.

VL - 3 ER - TY - JOUR T1 - Endoglin and MMP14 Contribute to Ewing Sarcoma Spreading by Modulation of Cell-Matrix Interactions. JF - Int J Mol Sci Y1 - 2022 A1 - Puerto-Camacho, Pilar A1 - Diaz-Martin, Juan A1 - Olmedo-Pelayo, Joaquín A1 - Bolado-Carrancio, Alfonso A1 - Salguero-Aranda, Carmen A1 - Jordán-Pérez, Carmen A1 - Esteban-Medina, Marina A1 - Alamo-Alvarez, Inmaculada A1 - Delgado-Bellido, Daniel A1 - Lobo-Selma, Laura A1 - Dopazo, Joaquin A1 - Sastre, Ana A1 - Alonso, Javier A1 - Grünewald, Thomas G P A1 - Bernabeu, Carmelo A1 - Byron, Adam A1 - Brunton, Valerie G A1 - Amaral, Ana Teresa A1 - de Alava, Enrique KW - Bone Neoplasms KW - Endoglin KW - Humans KW - Matrix Metalloproteinase 14 KW - Proteomics KW - Receptors, Growth Factor KW - Sarcoma, Ewing KW - Signal Transduction AB -

Endoglin (ENG) is a mesenchymal stem cell (MSC) marker typically expressed by active endothelium. This transmembrane glycoprotein is shed by matrix metalloproteinase 14 (MMP14). Our previous work demonstrated potent preclinical activity of first-in-class anti-ENG antibody-drug conjugates as a nascent strategy to eradicate Ewing sarcoma (ES), a devastating rare bone/soft tissue cancer with a putative MSC origin. We also defined a correlation between ENG and MMP14 expression in ES. Herein, we show that ENG expression is significantly associated with a dismal prognosis in a large cohort of ES patients. Moreover, both ENG/MMP14 are frequently expressed in primary ES tumors and metastasis. To deepen in their functional relevance in ES, we conducted transcriptomic and proteomic profiling of in vitro ES models that unveiled a key role of ENG and MMP14 in cell mechano-transduction. Migration and adhesion assays confirmed that loss of ENG disrupts actin filament assembly and filopodia formation, with a concomitant effect on cell spreading. Furthermore, we observed that ENG regulates cell-matrix interaction through activation of focal adhesion signaling and protein kinase C expression. In turn, loss of MMP14 contributed to a more adhesive phenotype of ES cells by modulating the transcriptional extracellular matrix dynamics. Overall, these results suggest that ENG and MMP14 exert a significant role in mediating correct spreading machinery of ES cells, impacting the aggressiveness of the disease.

VL - 23 IS - 15 ER - TY - JOUR T1 - Incidence and Prevalence of Children's Diffuse Lung Disease in Spain. JF - Arch Bronconeumol Y1 - 2022 A1 - Torrent-Vernetta, Alba A1 - Gaboli, Mirella A1 - Castillo-Corullón, Silvia A1 - Mondéjar-López, Pedro A1 - Sanz Santiago, Verónica A1 - Costa-Colomer, Jordi A1 - Osona, Borja A1 - Torres-Borrego, Javier A1 - de la Serna-Blázquez, Olga A1 - Bellón Alonso, Sara A1 - Caro Aguilera, Pilar A1 - Gimeno-Díaz de Atauri, Álvaro A1 - Valenzuela Soria, Alfredo A1 - Ayats, Roser A1 - Martin de Vicente, Carlos A1 - Velasco González, Valle A1 - Moure González, José Domingo A1 - Canino Calderín, Elisa María A1 - Pastor-Vivero, María Dolores A1 - Villar Álvarez, María Ángeles A1 - Rovira-Amigo, Sandra A1 - Iglesias Serrano, Ignacio A1 - Díez Izquierdo, Ana A1 - de Mir Messa, Inés A1 - Gartner, Silvia A1 - Navarro, Alexandra A1 - Baz-Redón, Noelia A1 - Carmona, Rosario A1 - Camats-Tarruella, Núria A1 - Fernández-Cancio, Mónica A1 - Rapp, Christina A1 - Dopazo, Joaquin A1 - Griese, Matthias A1 - Moreno-Galdó, Antonio AB -

BACKGROUND: Children's diffuse lung disease, also known as children's Interstitial Lung Diseases (chILD), are a heterogeneous group of rare diseases with relevant morbidity and mortality, which diagnosis and classification are very complex. Epidemiological data are scarce. The aim of this study was to analyse incidence and prevalence of chILD in Spain.

METHODS: Multicentre observational prospective study in patients from 0 to 18 years of age with chILD to analyse its incidence and prevalence in Spain, based on data reported in 2018 and 2019.

RESULTS: A total of 381 cases with chILD were notified from 51 paediatric pulmonology units all over Spain, covering the 91.7% of the paediatric population. The average incidence of chILD was 8.18 (CI 95% 6.28-10.48) new cases/million of children per year. The average prevalence of chILD was 46.53 (CI 95% 41.81-51.62) cases/million of children. The age group with the highest prevalence were children under 1 year of age. Different types of disorders were seen in children 2-18 years of age compared with children 0-2 years of age. Most frequent cases were: primary pulmonary interstitial glycogenosis in neonates (17/65), neuroendocrine cell hyperplasia of infancy in infants from 1 to 12 months (44/144), idiopathic pulmonary haemosiderosis in children from 1 to 5 years old (13/74), hypersensitivity pneumonitis in children from 5 to 10 years old (9/51), and scleroderma in older than 10 years old (8/47).

CONCLUSIONS: We found a higher incidence and prevalence of chILD than previously described probably due to greater understanding and increased clinician awareness of these rare diseases.

VL - 58 IS - 1 ER - TY - JOUR T1 - Novel genes and sex differences in COVID-19 severity. JF - Hum Mol Genet Y1 - 2022 A1 - Cruz, Raquel A1 - Almeida, Silvia Diz-de A1 - Heredia, Miguel López A1 - Quintela, Inés A1 - Ceballos, Francisco C A1 - Pita, Guillermo A1 - Lorenzo-Salazar, José M A1 - González-Montelongo, Rafaela A1 - Gago-Domínguez, Manuela A1 - Porras, Marta Sevilla A1 - Castaño, Jair Antonio Tenorio A1 - Nevado, Julián A1 - Aguado, Jose María A1 - Aguilar, Carlos A1 - Aguilera-Albesa, Sergio A1 - Almadana, Virginia A1 - Almoguera, Berta A1 - Alvarez, Nuria A1 - Andreu-Bernabeu, Álvaro A1 - Arana-Arri, Eunate A1 - Arango, Celso A1 - Arranz, María J A1 - Artiga, Maria-Jesus A1 - Baptista-Rosas, Raúl C A1 - Barreda-Sánchez, María A1 - Belhassen-Garcia, Moncef A1 - Bezerra, Joao F A1 - Bezerra, Marcos A C A1 - Boix-Palop, Lucía A1 - Brión, Maria A1 - Brugada, Ramón A1 - Bustos, Matilde A1 - Calderón, Enrique J A1 - Carbonell, Cristina A1 - Castano, Luis A1 - Castelao, Jose E A1 - Conde-Vicente, Rosa A1 - Cordero-Lorenzana, M Lourdes A1 - Cortes-Sanchez, Jose L A1 - Corton, Marta A1 - Darnaude, M Teresa A1 - De Martino-Rodríguez, Alba A1 - Campo-Pérez, Victor A1 - Bustamante, Aranzazu Diaz A1 - Domínguez-Garrido, Elena A1 - Luchessi, André D A1 - Eirós, Rocío A1 - Sanabria, Gladys Mercedes Estigarribia A1 - Fariñas, María Carmen A1 - Fernández-Robelo, Uxía A1 - Fernández-Rodríguez, Amanda A1 - Fernández-Villa, Tania A1 - Gil-Fournier, Belén A1 - Gómez-Arrue, Javier A1 - Álvarez, Beatriz González A1 - Quirós, Fernan Gonzalez Bernaldo A1 - González-Peñas, Javier A1 - Gutiérrez-Bautista, Juan F A1 - Herrero, María José A1 - Herrero-Gonzalez, Antonio A1 - Jimenez-Sousa, María A A1 - Lattig, María Claudia A1 - Borja, Anabel Liger A1 - Lopez-Rodriguez, Rosario A1 - Mancebo, Esther A1 - Martín-López, Caridad A1 - Martín, Vicente A1 - Martinez-Nieto, Oscar A1 - Martinez-Lopez, Iciar A1 - Martinez-Resendez, Michel F A1 - Martinez-Perez, Ángel A1 - Mazzeu, Juliana A A1 - Macías, Eleuterio Merayo A1 - Minguez, Pablo A1 - Cuerda, Victor Moreno A1 - Silbiger, Vivian N A1 - Oliveira, Silviene F A1 - Ortega-Paino, Eva A1 - Parellada, Mara A1 - Paz-Artal, Estela A1 - Santos, Ney P C A1 - Pérez-Matute, Patricia A1 - Perez, Patricia A1 - Pérez-Tomás, M Elena A1 - Perucho, Teresa A1 - Pinsach-Abuin, Mel Lina A1 - Pompa-Mera, Ericka N A1 - Porras-Hurtado, Gloria L A1 - Pujol, Aurora A1 - León, Soraya Ramiro A1 - Resino, Salvador A1 - Fernandes, Marianne R A1 - Rodríguez-Ruiz, Emilio A1 - Rodriguez-Artalejo, Fernando A1 - Rodriguez-Garcia, José A A1 - Ruiz-Cabello, Francisco A1 - Ruiz-Hornillos, Javier A1 - Ryan, Pablo A1 - Soria, José Manuel A1 - Souto, Juan Carlos A1 - Tamayo, Eduardo A1 - Tamayo-Velasco, Alvaro A1 - Taracido-Fernandez, Juan Carlos A1 - Teper, Alejandro A1 - Torres-Tobar, Lilian A1 - Urioste, Miguel A1 - Valencia-Ramos, Juan A1 - Yáñez, Zuleima A1 - Zarate, Ruth A1 - Nakanishi, Tomoko A1 - Pigazzini, Sara A1 - Degenhardt, Frauke A1 - Butler-Laporte, Guillaume A1 - Maya-Miles, Douglas A1 - Bujanda, Luis A1 - Bouysran, Youssef A1 - Palom, Adriana A1 - Ellinghaus, David A1 - Martínez-Bueno, Manuel A1 - Rolker, Selina A1 - Amitrano, Sara A1 - Roade, Luisa A1 - Fava, Francesca A1 - Spinner, Christoph D A1 - Prati, Daniele A1 - Bernardo, David A1 - García, Federico A1 - Darcis, Gilles A1 - Fernández-Cadenas, Israel A1 - Holter, Jan Cato A1 - Banales, Jesus M A1 - Frithiof, Robert A1 - Duga, Stefano A1 - Asselta, Rosanna A1 - Pereira, Alexandre C A1 - Romero-Gómez, Manuel A1 - Nafría-Jiménez, Beatriz A1 - Hov, Johannes R A1 - Migeotte, Isabelle A1 - Renieri, Alessandra A1 - Planas, Anna M A1 - Ludwig, Kerstin U A1 - Buti, Maria A1 - Rahmouni, Souad A1 - Alarcón-Riquelme, Marta E A1 - Schulte, Eva C A1 - Franke, Andre A1 - Karlsen, Tom H A1 - Valenti, Luca A1 - Zeberg, Hugo A1 - Richards, Brent A1 - Ganna, Andrea A1 - Boada, Mercè A1 - Rojas, Itziar A1 - Ruiz, Agustín A1 - Sánchez, Pascual A1 - Real, Luis Miguel A1 - Guillén-Navarro, Encarna A1 - Ayuso, Carmen A1 - González-Neira, Anna A1 - Riancho, José A A1 - Rojas-Martinez, Augusto A1 - Flores, Carlos A1 - Lapunzina, Pablo A1 - Carracedo, Ángel AB -

Here we describe the results of a genome-wide study conducted in 11 939 COVID-19 positive cases with an extensive clinical information that were recruited from 34 hospitals across Spain (SCOURGE consortium). In sex-disaggregated genome-wide association studies for COVID-19 hospitalization, genome-wide significance (p < 5x10-8) was crossed for variants in 3p21.31 and 21q22.11 loci only among males (p = 1.3x10-22 and p = 8.1x10-12, respectively), and for variants in 9q21.32 near TLE1 only among females (p = 4.4x10-8). In a second phase, results were combined with an independent Spanish cohort (1598 COVID-19 cases and 1068 population controls), revealing in the overall analysis two novel risk loci in 9p13.3 and 19q13.12, with fine-mapping prioritized variants functionally associated with AQP3 (p = 2.7x10-8) and ARHGAP33 (p = 1.3x10-8), respectively. The meta-analysis of both phases with four European studies stratified by sex from the Host Genetics Initiative confirmed the association of the 3p21.31 and 21q22.11 loci predominantly in males and replicated a recently reported variant in 11p13 (ELF5, p = 4.1x10-8). Six of the COVID-19 HGI discovered loci were replicated and an HGI-based genetic risk score predicted the severity strata in SCOURGE. We also found more SNP-heritability and larger heritability differences by age (<60 or ≥ 60 years) among males than among females. Parallel genome-wide screening of inbreeding depression in SCOURGE also showed an effect of homozygosity in COVID-19 hospitalization and severity and this effect was stronger among older males. In summary, new candidate genes for COVID-19 severity and evidence supporting genetic disparities among sexes are provided.

ER - TY - JOUR T1 - A comprehensive database for integrated analysis of omics data in autoimmune diseases. JF - BMC Bioinformatics Y1 - 2021 A1 - Martorell-Marugán, Jordi A1 - López-Domínguez, Raúl A1 - García-Moreno, Adrián A1 - Toro-Domínguez, Daniel A1 - Villatoro-García, Juan Antonio A1 - Barturen, Guillermo A1 - Martín-Gómez, Adoración A1 - Troule, Kevin A1 - Gómez-López, Gonzalo A1 - Al-Shahrour, Fátima A1 - González-Rumayor, Víctor A1 - Peña-Chilet, Maria A1 - Dopazo, Joaquin A1 - Saez-Rodriguez, Julio A1 - Alarcón-Riquelme, Marta E A1 - Carmona-Sáez, Pedro KW - Autoimmune Diseases KW - Computational Biology KW - Databases, Factual KW - Humans AB -

BACKGROUND: Autoimmune diseases are heterogeneous pathologies with difficult diagnosis and few therapeutic options. In the last decade, several omics studies have provided significant insights into the molecular mechanisms of these diseases. Nevertheless, data from different cohorts and pathologies are stored independently in public repositories and a unified resource is imperative to assist researchers in this field.

RESULTS: Here, we present Autoimmune Diseases Explorer ( https://adex.genyo.es ), a database that integrates 82 curated transcriptomics and methylation studies covering 5609 samples for some of the most common autoimmune diseases. The database provides, in an easy-to-use environment, advanced data analysis and statistical methods for exploring omics datasets, including meta-analysis, differential expression or pathway analysis.

CONCLUSIONS: This is the first omics database focused on autoimmune diseases. This resource incorporates homogeneously processed data to facilitate integrative analyses among studies.

VL - 22 IS - 1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/34167460?dopt=Abstract ER - TY - JOUR T1 - COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms. JF - Mol Syst Biol Y1 - 2021 A1 - Ostaszewski, Marek A1 - Niarakis, Anna A1 - Mazein, Alexander A1 - Kuperstein, Inna A1 - Phair, Robert A1 - Orta-Resendiz, Aurelio A1 - Singh, Vidisha A1 - Aghamiri, Sara Sadat A1 - Acencio, Marcio Luis A1 - Glaab, Enrico A1 - Ruepp, Andreas A1 - Fobo, Gisela A1 - Montrone, Corinna A1 - Brauner, Barbara A1 - Frishman, Goar A1 - Monraz Gómez, Luis Cristóbal A1 - Somers, Julia A1 - Hoch, Matti A1 - Kumar Gupta, Shailendra A1 - Scheel, Julia A1 - Borlinghaus, Hanna A1 - Czauderna, Tobias A1 - Schreiber, Falk A1 - Montagud, Arnau A1 - Ponce de Leon, Miguel A1 - Funahashi, Akira A1 - Hiki, Yusuke A1 - Hiroi, Noriko A1 - Yamada, Takahiro G A1 - Dräger, Andreas A1 - Renz, Alina A1 - Naveez, Muhammad A1 - Bocskei, Zsolt A1 - Messina, Francesco A1 - Börnigen, Daniela A1 - Fergusson, Liam A1 - Conti, Marta A1 - Rameil, Marius A1 - Nakonecnij, Vanessa A1 - Vanhoefer, Jakob A1 - Schmiester, Leonard A1 - Wang, Muying A1 - Ackerman, Emily E A1 - Shoemaker, Jason E A1 - Zucker, Jeremy A1 - Oxford, Kristie A1 - Teuton, Jeremy A1 - Kocakaya, Ebru A1 - Summak, Gökçe Yağmur A1 - Hanspers, Kristina A1 - Kutmon, Martina A1 - Coort, Susan A1 - Eijssen, Lars A1 - Ehrhart, Friederike A1 - Rex, Devasahayam Arokia Balaya A1 - Slenter, Denise A1 - Martens, Marvin A1 - Pham, Nhung A1 - Haw, Robin A1 - Jassal, Bijay A1 - Matthews, Lisa A1 - Orlic-Milacic, Marija A1 - Senff Ribeiro, Andrea A1 - Rothfels, Karen A1 - Shamovsky, Veronica A1 - Stephan, Ralf A1 - Sevilla, Cristoffer A1 - Varusai, Thawfeek A1 - Ravel, Jean-Marie A1 - Fraser, Rupsha A1 - Ortseifen, Vera A1 - Marchesi, Silvia A1 - Gawron, Piotr A1 - Smula, Ewa A1 - Heirendt, Laurent A1 - Satagopam, Venkata A1 - Wu, Guanming A1 - Riutta, Anders A1 - Golebiewski, Martin A1 - Owen, Stuart A1 - Goble, Carole A1 - Hu, Xiaoming A1 - Overall, Rupert W A1 - Maier, Dieter A1 - Bauch, Angela A1 - Gyori, Benjamin M A1 - Bachman, John A A1 - Vega, Carlos A1 - Grouès, Valentin A1 - Vazquez, Miguel A1 - Porras, Pablo A1 - Licata, Luana A1 - Iannuccelli, Marta A1 - Sacco, Francesca A1 - Nesterova, Anastasia A1 - Yuryev, Anton A1 - de Waard, Anita A1 - Turei, Denes A1 - Luna, Augustin A1 - Babur, Ozgun A1 - Soliman, Sylvain A1 - Valdeolivas, Alberto A1 - Esteban-Medina, Marina A1 - Peña-Chilet, Maria A1 - Rian, Kinza A1 - Helikar, Tomáš A1 - Puniya, Bhanwar Lal A1 - Modos, Dezso A1 - Treveil, Agatha A1 - Olbei, Marton A1 - De Meulder, Bertrand A1 - Ballereau, Stephane A1 - Dugourd, Aurélien A1 - Naldi, Aurélien A1 - Noël, Vincent A1 - Calzone, Laurence A1 - Sander, Chris A1 - Demir, Emek A1 - Korcsmaros, Tamas A1 - Freeman, Tom C A1 - Augé, Franck A1 - Beckmann, Jacques S A1 - Hasenauer, Jan A1 - Wolkenhauer, Olaf A1 - Wilighagen, Egon L A1 - Pico, Alexander R A1 - Evelo, Chris T A1 - Gillespie, Marc E A1 - Stein, Lincoln D A1 - Hermjakob, Henning A1 - D'Eustachio, Peter A1 - Saez-Rodriguez, Julio A1 - Dopazo, Joaquin A1 - Valencia, Alfonso A1 - Kitano, Hiroaki A1 - Barillot, Emmanuel A1 - Auffray, Charles A1 - Balling, Rudi A1 - Schneider, Reinhard KW - Antiviral Agents KW - Computational Biology KW - Computer Graphics KW - COVID-19 KW - Cytokines KW - Data Mining KW - Databases, Factual KW - Gene Expression Regulation KW - Host Microbial Interactions KW - Humans KW - Immunity, Cellular KW - Immunity, Humoral KW - Immunity, Innate KW - Lymphocytes KW - Metabolic Networks and Pathways KW - Myeloid Cells KW - Protein Interaction Mapping KW - SARS-CoV-2 KW - Signal Transduction KW - Software KW - Transcription Factors KW - Viral Proteins AB -

We need to effectively combine the knowledge from surging literature with complex datasets to propose mechanistic models of SARS-CoV-2 infection, improving data interpretation and predicting key targets of intervention. Here, we describe a large-scale community effort to build an open access, interoperable and computable repository of COVID-19 molecular mechanisms. The COVID-19 Disease Map (C19DMap) is a graphical, interactive representation of disease-relevant molecular mechanisms linking many knowledge sources. Notably, it is a computational resource for graph-based analyses and disease modelling. To this end, we established a framework of tools, platforms and guidelines necessary for a multifaceted community of biocurators, domain experts, bioinformaticians and computational biologists. The diagrams of the C19DMap, curated from the literature, are integrated with relevant interaction and text mining databases. We demonstrate the application of network analysis and modelling approaches by concrete examples to highlight new testable hypotheses. This framework helps to find signatures of SARS-CoV-2 predisposition, treatment response or prioritisation of drug candidates. Such an approach may help deal with new waves of COVID-19 or similar pandemics in the long-term perspective.

VL - 17 IS - 10 U1 - https://www.ncbi.nlm.nih.gov/pubmed/34664389?dopt=Abstract ER - TY - JOUR T1 - CSVS, a crowdsourcing database of the Spanish population genetic variability. JF - Nucleic Acids Res Y1 - 2021 A1 - Peña-Chilet, Maria A1 - Roldán, Gema A1 - Perez-Florido, Javier A1 - Ortuno, Francisco M A1 - Carmona, Rosario A1 - Aquino, Virginia A1 - López-López, Daniel A1 - Loucera, Carlos A1 - Fernandez-Rueda, Jose L A1 - Gallego, Asunción A1 - Garcia-Garcia, Francisco A1 - González-Neira, Anna A1 - Pita, Guillermo A1 - Núñez-Torres, Rocío A1 - Santoyo-López, Javier A1 - Ayuso, Carmen A1 - Minguez, Pablo A1 - Avila-Fernandez, Almudena A1 - Corton, Marta A1 - Moreno-Pelayo, Miguel Ángel A1 - Morin, Matías A1 - Gallego-Martinez, Alvaro A1 - Lopez-Escamez, Jose A A1 - Borrego, Salud A1 - Antiňolo, Guillermo A1 - Amigo, Jorge A1 - Salgado-Garrido, Josefa A1 - Pasalodos-Sanchez, Sara A1 - Morte, Beatriz A1 - Carracedo, Ángel A1 - Alonso, Ángel A1 - Dopazo, Joaquin KW - Alleles KW - Chromosome Mapping KW - Crowdsourcing KW - Databases, Genetic KW - Exome KW - Gene Frequency KW - Genetic Variation KW - Genetics, Population KW - Genome, Human KW - Genomics KW - Humans KW - Internet KW - Precision Medicine KW - Software KW - Spain AB -

The knowledge of the genetic variability of the local population is of utmost importance in personalized medicine and has been revealed as a critical factor for the discovery of new disease variants. Here, we present the Collaborative Spanish Variability Server (CSVS), which currently contains more than 2000 genomes and exomes of unrelated Spanish individuals. This database has been generated in a collaborative crowdsourcing effort collecting sequencing data produced by local genomic projects and for other purposes. Sequences have been grouped by ICD10 upper categories. A web interface allows querying the database removing one or more ICD10 categories. In this way, aggregated counts of allele frequencies of the pseudo-control Spanish population can be obtained for diseases belonging to the category removed. Interestingly, in addition to pseudo-control studies, some population studies can be made, as, for example, prevalence of pharmacogenomic variants, etc. In addition, this genomic data has been used to define the first Spanish Genome Reference Panel (SGRP1.0) for imputation. This is the first local repository of variability entirely produced by a crowdsourcing effort and constitutes an example for future initiatives to characterize local variability worldwide. CSVS is also part of the GA4GH Beacon network. CSVS can be accessed at: http://csvs.babelomics.org/.

VL - 49 IS - D1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/32990755?dopt=Abstract ER - TY - JOUR T1 - A DNA damage repair gene-associated signature predicts responses of patients with advanced soft-tissue sarcoma to treatment with trabectedin. JF - Mol Oncol Y1 - 2021 A1 - Moura, David S A1 - Peña-Chilet, Maria A1 - Cordero Varela, Juan Antonio A1 - Alvarez-Alegret, Ramiro A1 - Agra-Pujol, Carolina A1 - Izquierdo, Francisco A1 - Ramos, Rafael A1 - Ortega-Medina, Luis A1 - Martin-Davila, Francisco A1 - Castilla-Ramirez, Carolina A1 - Hernandez-Leon, Carmen Nieves A1 - Romagosa, Cleofe A1 - Vaz Salgado, Maria Angeles A1 - Lavernia, Javier A1 - Bagué, Silvia A1 - Mayodormo-Aranda, Empar A1 - Vicioso, Luis A1 - Hernández Barceló, Jose Emilio A1 - Rubio-Casadevall, Jordi A1 - de Juan, Ana A1 - Fiaño-Valverde, Maria Concepcion A1 - Hindi, Nadia A1 - Lopez-Alvarez, Maria A1 - Lacerenza, Serena A1 - Dopazo, Joaquin A1 - Gutierrez, Antonio A1 - Alvarez, Rosa A1 - Valverde, Claudia A1 - Martinez-Trufero, Javier A1 - Martin-Broto, Javier AB -

Predictive biomarkers of trabectedin represent an unmet need in advanced soft-tissue sarcomas (STS). DNA damage repair (DDR) genes, involved in homologous recombination or nucleotide excision repair, had been previously described as biomarkers of trabectedin resistance or sensitivity, respectively. The majority of these studies only focused on specific factors (ERCC1, ERCC5, and BRCA1) and did not evaluate several other DDR-related genes that could have a relevant role for trabectedin efficacy. In this retrospective translational study, 118 genes involved in DDR were evaluated to determine, by transcriptomics, a predictive gene signature of trabectedin efficacy. A six-gene predictive signature of trabectedin efficacy was built in a series of 139 tumor samples from patients with advanced STS. Patients in the high-risk gene signature group showed a significantly worse progression-free survival compared with patients in the low-risk group (2.1 vs 6.0 months, respectively). Differential gene expression analysis defined new potential predictive biomarkers of trabectedin sensitivity (PARP3 and CCNH) or resistance (DNAJB11 and PARP1). Our study identified a new gene signature that significantly predicts patients with higher probability to respond to treatment with trabectedin. Targeting some genes of this signature emerges as a potential strategy to enhance trabectedin efficacy.

VL - 15 IS - 12 U1 - https://www.ncbi.nlm.nih.gov/pubmed/33983674?dopt=Abstract ER - TY - JOUR T1 - The NCI Genomic Data Commons JF - Nature Genetics Y1 - 2021 A1 - Heath, Allison P. A1 - Ferretti, Vincent A1 - Agrawal, Stuti A1 - An, Maksim A1 - Angelakos, James C. A1 - Arya, Renuka A1 - Bajari, Rosita A1 - Baqar, Bilal A1 - Barnowski, Justin H. B. A1 - Burt, Jeffrey A1 - Catton, Ann A1 - Chan, Brandon F. A1 - Chu, Fay A1 - Cullion, Kim A1 - Davidsen, Tanja A1 - Do, Phuong-My A1 - Dompierre, Christian A1 - Ferguson, Martin L. A1 - Fitzsimons, Michael S. A1 - Ford, Michael A1 - Fukuma, Miyuki A1 - Gaheen, Sharon A1 - Ganji, Gajanan L. A1 - Garcia, Tzintzuni I. A1 - George, Sameera S. A1 - Gerhard, Daniela S. A1 - Gerthoffert, Francois A1 - Gomez, Fauzi A1 - Han, Kang A1 - Hernandez, Kyle M. A1 - Issac, Biju A1 - Jackson, Richard A1 - Jensen, Mark A. A1 - Joshi, Sid A1 - Kadam, Ajinkya A1 - Khurana, Aishmit A1 - Kim, Kyle M. J. A1 - Kraft, Victoria E. A1 - Li, Shenglai A1 - Lichtenberg, Tara M. A1 - Lodato, Janice A1 - Lolla, Laxmi A1 - Martinov, Plamen A1 - Mazzone, Jeffrey A. A1 - Miller, Daniel P. A1 - Miller, Ian A1 - Miller, Joshua S. A1 - Miyauchi, Koji A1 - Murphy, Mark W. A1 - Nullet, Thomas A1 - Ogwara, Rowland O. A1 - Ortuño, Francisco M. A1 - Pedrosa, Jesús A1 - Pham, Phuong L. A1 - Popov, Maxim Y. A1 - Porter, James J. A1 - Powell, Raymond A1 - Rademacher, Karl A1 - Reid, Colin P. A1 - Rich, Samantha A1 - Rogel, Bessie A1 - Sahni, Himanso A1 - Savage, Jeremiah H. A1 - Schmitt, Kyle A. A1 - Simmons, Trevar J. A1 - Sislow, Joseph A1 - Spring, Jonathan A1 - Stein, Lincoln A1 - Sullivan, Sean A1 - Tang, Yajing A1 - Thiagarajan, Mathangi A1 - Troyer, Heather D. A1 - Wang, Chang A1 - Wang, Zhining A1 - West, Bedford L. A1 - Wilmer, Alex A1 - Wilson, Shane A1 - Wu, Kaman A1 - Wysocki, William P. A1 - Xiang, Linda A1 - Yamada, Joseph T. A1 - Yang, Liming A1 - Yu, Christine A1 - Yung, Christina K. A1 - Zenklusen, Jean Claude A1 - Zhang, Junjun A1 - Zhang, Zhenyu A1 - Zhao, Yuanheng A1 - Zubair, Ariz A1 - Staudt, Louis M. A1 - Grossman, Robert L. UR - http://www.nature.com/articles/s41588-021-00791-5 JO - Nat Genet ER - TY - JOUR T1 - Orchestrating and sharing large multimodal data for transparent and reproducible research. JF - Nat Commun Y1 - 2021 A1 - Mammoliti, Anthony A1 - Smirnov, Petr A1 - Nakano, Minoru A1 - Safikhani, Zhaleh A1 - Eeles, Christopher A1 - Seo, Heewon A1 - Nair, Sisira Kadambat A1 - Mer, Arvind S A1 - Smith, Ian A1 - Ho, Chantal A1 - Beri, Gangesh A1 - Kusko, Rebecca A1 - Lin, Eva A1 - Yu, Yihong A1 - Martin, Scott A1 - Hafner, Marc A1 - Haibe-Kains, Benjamin AB -

Reproducibility is essential to open science, as there is limited relevance for findings that can not be reproduced by independent research groups, regardless of its validity. It is therefore crucial for scientists to describe their experiments in sufficient detail so they can be reproduced, scrutinized, challenged, and built upon. However, the intrinsic complexity and continuous growth of biomedical data makes it increasingly difficult to process, analyze, and share with the community in a FAIR (findable, accessible, interoperable, and reusable) manner. To overcome these issues, we created a cloud-based platform called ORCESTRA ( orcestra.ca ), which provides a flexible framework for the reproducible processing of multimodal biomedical data. It enables processing of clinical, genomic and perturbation profiles of cancer samples through automated processing pipelines that are user-customizable. ORCESTRA creates integrated and fully documented data objects with persistent identifiers (DOI) and manages multiple dataset versions, which can be shared for future studies.

VL - 12 IS - 1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/34608132?dopt=Abstract ER - TY - JOUR T1 - Phylogenetic Analysis of the 2020 West Nile Virus (WNV) Outbreak in Andalusia (Spain) JF - Viruses Y1 - 2021 A1 - Casimiro-Soriguer, Carlos S. A1 - Perez-Florido, Javier A1 - Fernandez-Rueda, Jose L. A1 - Pedrosa-Corral, Irene A1 - Guillot-Sulay, Vicente A1 - Lorusso, Nicola A1 - Martinez-Gonzalez, Luis Javier A1 - Navarro-Marí, Jose M. A1 - Dopazo, Joaquin A1 - Sanbonmatsu-Gámez, Sara VL - 13 UR - https://www.mdpi.com/1999-4915/13/5/836 IS - 5 JO - Viruses ER - TY - JOUR T1 - Presenilin-1 Mutations Are a Cause of Primary Lateral Sclerosis-Like Syndrome. JF - Front Mol Neurosci Y1 - 2021 A1 - Vázquez-Costa, Juan Francisco A1 - Payá-Montes, María A1 - Martínez-Molina, Marina A1 - Jaijo, Teresa A1 - Szymanski, Jazek A1 - Mazón, Miguel A1 - Sopena-Novales, Pablo A1 - Pérez-Tur, Jordi A1 - Sevilla, Teresa AB -

Background and Purpose: Primary lateral sclerosis (PLS) is a progressive upper motor neuron (UMN) disorder. It is debated whether PLS is part of the amyotrophic lateral sclerosis (ALS) spectrum, or a syndrome encompassing different neurodegenerative diseases. Recently, new diagnostic criteria for PLS have been proposed. We describe four patients of two pedigrees, meeting definite PLS criteria and harboring two different mutations in presenilin 1 ().

Methods: Patients underwent neurological and neuropsychological examination, MRI, 18F-fluorodeoxyglucose positron emission tomography (FDG-PET), amyloid-related biomarkers, and next-generation sequencing (NGS) testing.

Results: Four patients, aged 25-45 years old, presented with a progressive UMN syndrome meeting clinical criteria of definite PLS. Cognitive symptoms and signs were mild or absent during the first year of the disease but appeared or progressed later in the disease course. Brain MRI showed microbleeds in two siblings, but iron-related hypointensities in the motor cortex were absent. Brain FDG-PET showed variable areas of hypometabolism, including the motor cortex and frontotemporal lobes. Amyloid deposition was confirmed with either cerebrospinal fluid (CSF) or imaging biomarkers. Two heterozygous likely pathogenic mutations in (p.Pro88Leu and p.Leu166Pro) were found in the NGS testing.

Conclusion: Clinically defined PLS is a syndrome encompassing different neurodegenerative diseases. The NGS testing should be part of the diagnostic workup in patients with PLS, at least in those with red flags, such as early-onset, cognitive impairment, and/or family history of neurodegenerative diseases.

VL - 14 ER - TY - JOUR T1 - Reporting guidelines for human microbiome research: the STORMS checklist. JF - Nat Med Y1 - 2021 A1 - Mirzayi, Chloe A1 - Renson, Audrey A1 - Zohra, Fatima A1 - Elsafoury, Shaimaa A1 - Geistlinger, Ludwig A1 - Kasselman, Lora J A1 - Eckenrode, Kelly A1 - van de Wijgert, Janneke A1 - Loughman, Amy A1 - Marques, Francine Z A1 - MacIntyre, David A A1 - Arumugam, Manimozhiyan A1 - Azhar, Rimsha A1 - Beghini, Francesco A1 - Bergstrom, Kirk A1 - Bhatt, Ami A1 - Bisanz, Jordan E A1 - Braun, Jonathan A1 - Bravo, Hector Corrada A1 - Buck, Gregory A A1 - Bushman, Frederic A1 - Casero, David A1 - Clarke, Gerard A1 - Collado, Maria Carmen A1 - Cotter, Paul D A1 - Cryan, John F A1 - Demmer, Ryan T A1 - Devkota, Suzanne A1 - Elinav, Eran A1 - Escobar, Juan S A1 - Fettweis, Jennifer A1 - Finn, Robert D A1 - Fodor, Anthony A A1 - Forslund, Sofia A1 - Franke, Andre A1 - Furlanello, Cesare A1 - Gilbert, Jack A1 - Grice, Elizabeth A1 - Haibe-Kains, Benjamin A1 - Handley, Scott A1 - Herd, Pamela A1 - Holmes, Susan A1 - Jacobs, Jonathan P A1 - Karstens, Lisa A1 - Knight, Rob A1 - Knights, Dan A1 - Koren, Omry A1 - Kwon, Douglas S A1 - Langille, Morgan A1 - Lindsay, Brianna A1 - McGovern, Dermot A1 - McHardy, Alice C A1 - McWeeney, Shannon A1 - Mueller, Noel T A1 - Nezi, Luigi A1 - Olm, Matthew A1 - Palm, Noah A1 - Pasolli, Edoardo A1 - Raes, Jeroen A1 - Redinbo, Matthew R A1 - Rühlemann, Malte A1 - Balfour Sartor, R A1 - Schloss, Patrick D A1 - Schriml, Lynn A1 - Segal, Eran A1 - Shardell, Michelle A1 - Sharpton, Thomas A1 - Smirnova, Ekaterina A1 - Sokol, Harry A1 - Sonnenburg, Justin L A1 - Srinivasan, Sujatha A1 - Thingholm, Louise B A1 - Turnbaugh, Peter J A1 - Upadhyay, Vaibhav A1 - Walls, Ramona L A1 - Wilmes, Paul A1 - Yamada, Takuji A1 - Zeller, Georg A1 - Zhang, Mingyu A1 - Zhao, Ni A1 - Zhao, Liping A1 - Bao, Wenjun A1 - Culhane, Aedin A1 - Devanarayan, Viswanath A1 - Dopazo, Joaquin A1 - Fan, Xiaohui A1 - Fischer, Matthias A1 - Jones, Wendell A1 - Kusko, Rebecca A1 - Mason, Christopher E A1 - Mercer, Tim R A1 - Sansone, Susanna-Assunta A1 - Scherer, Andreas A1 - Shi, Leming A1 - Thakkar, Shraddha A1 - Tong, Weida A1 - Wolfinger, Russ A1 - Hunter, Christopher A1 - Segata, Nicola A1 - Huttenhower, Curtis A1 - Dowd, Jennifer B A1 - Jones, Heidi E A1 - Waldron, Levi KW - Computational Biology KW - Dysbiosis KW - Humans KW - Microbiota KW - Observational Studies as Topic KW - Research Design KW - Translational Science, Biomedical AB -

The particularly interdisciplinary nature of human microbiome research makes the organization and reporting of results spanning epidemiology, biology, bioinformatics, translational medicine and statistics a challenge. Commonly used reporting guidelines for observational or genetic epidemiology studies lack key features specific to microbiome studies. Therefore, a multidisciplinary group of microbiome epidemiology researchers adapted guidelines for observational and genetic studies to culture-independent human microbiome studies, and also developed new reporting elements for laboratory, bioinformatics and statistical analyses tailored to microbiome studies. The resulting tool, called 'Strengthening The Organization and Reporting of Microbiome Studies' (STORMS), is composed of a 17-item checklist organized into six sections that correspond to the typical sections of a scientific publication, presented as an editable table for inclusion in supplementary materials. The STORMS checklist provides guidance for concise and complete reporting of microbiome studies that will facilitate manuscript preparation, peer review, and reader comprehension of publications and comparative analysis of published results.

VL - 27 IS - 11 U1 - https://www.ncbi.nlm.nih.gov/pubmed/34789871?dopt=Abstract ER - TY - JOUR T1 - Schuurs–Hoeijmakers Syndrome (PACS1 Neurodevelopmental Disorder): Seven Novel Patients and a Review JF - Genes Y1 - 2021 A1 - Tenorio-Castaño, Jair A1 - Morte, Beatriz A1 - Nevado, Julián A1 - Martínez-Glez, Víctor A1 - Santos-Simarro, Fernando A1 - García-Miñaur, Sixto A1 - Palomares-Bralo, María A1 - Pacio-Míguez, Marta A1 - Gómez, Beatriz A1 - Arias, Pedro A1 - Alcochea, Alba A1 - Carrión, Juan A1 - Arias, Patricia A1 - Almoguera, Berta A1 - López-Grondona, Fermina A1 - Lorda-Sanchez, Isabel A1 - Galán-Gómez, Enrique A1 - Valenzuela, Irene A1 - Méndez Perez, María A1 - Cuscó, Ivón A1 - Barros, Francisco A1 - Pié, Juan A1 - Ramos, Sergio A1 - Ramos, Feliciano A1 - Kuechler, Alma A1 - Tizzano, Eduardo A1 - Ayuso, Carmen A1 - Kaiser, Frank A1 - Pérez-Jurado, Luis A1 - Carracedo, Ángel A1 - Lapunzina, Pablo VL - 12 UR - https://www.mdpi.com/2073-4425/12/5/738https://www.mdpi.com/2073-4425/12/5/738/pdf IS - 5 JO - Genes ER - TY - JOUR T1 - Taxonomic variations in the gut microbiome of gout patients with and without tophi might have a functional impact on urate metabolism. JF - Mol Med Y1 - 2021 A1 - Méndez-Salazar, Eder Orlando A1 - Vázquez-Mellado, Janitzia A1 - Casimiro-Soriguer, Carlos S A1 - Dopazo, Joaquin A1 - Cubuk, Cankut A1 - Zamudio-Cuevas, Yessica A1 - Francisco-Balderas, Adriana A1 - Martínez-Flores, Karina A1 - Fernández-Torres, Javier A1 - Lozada-Pérez, Carlos A1 - Pineda, Carlos A1 - Sánchez-González, Austreberto A1 - Silveira, Luis H A1 - Burguete-García, Ana I A1 - Orbe-Orihuela, Citlalli A1 - Lagunas-Martínez, Alfredo A1 - Vazquez-Gomez, Alonso A1 - López-Reyes, Alberto A1 - Palacios-González, Berenice A1 - Martínez-Nava, Gabriela Angélica KW - Biodiversity KW - Computational Biology KW - Dysbiosis KW - Gastrointestinal Microbiome KW - Gout KW - Humans KW - Metagenome KW - metagenomics KW - Protein Interaction Mapping KW - Protein Interaction Maps KW - Uric Acid AB -

OBJECTIVE: To evaluate the taxonomic composition of the gut microbiome in gout patients with and without tophi formation, and predict bacterial functions that might have an impact on urate metabolism.

METHODS: Hypervariable V3-V4 regions of the bacterial 16S rRNA gene from fecal samples of gout patients with and without tophi (n = 33 and n = 25, respectively) were sequenced and compared to fecal samples from 53 healthy controls. We explored predictive functional profiles using bioinformatics in order to identify differences in taxonomy and metabolic pathways.

RESULTS: We identified a microbiome characterized by the lowest richness and a higher abundance of Phascolarctobacterium, Bacteroides, Akkermansia, and Ruminococcus_gnavus_group genera in patients with gout without tophi when compared to controls. The Proteobacteria phylum and the Escherichia-Shigella genus were more abundant in patients with tophaceous gout than in controls. Fold change analysis detected nine genera enriched in healthy controls compared to gout groups (Bifidobacterium, Butyricicoccus, Oscillobacter, Ruminococcaceae_UCG_010, Lachnospiraceae_ND2007_group, Haemophilus, Ruminococcus_1, Clostridium_sensu_stricto_1, and Ruminococcaceae_UGC_013). We found that the core microbiota of both gout groups shared Bacteroides caccae, Bacteroides stercoris ATCC 43183, and Bacteroides coprocola DSM 17136. These bacteria might perform functions linked to one-carbon metabolism, nucleotide binding, amino acid biosynthesis, and purine biosynthesis. Finally, we observed differences in key bacterial enzymes involved in urate synthesis, degradation, and elimination.

CONCLUSION: Our findings revealed that taxonomic variations in the gut microbiome of gout patients with and without tophi might have a functional impact on urate metabolism.

VL - 27 IS - 1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/34030623?dopt=Abstract ER - TY - JOUR T1 - Uniform genomic data analysis in the NCI Genomic Data CommonsAbstract JF - Nature Communications Y1 - 2021 A1 - Zhang, Zhenyu A1 - Hernandez, Kyle A1 - Savage, Jeremiah A1 - Li, Shenglai A1 - Miller, Dan A1 - Agrawal, Stuti A1 - Ortuno, Francisco A1 - Staudt, Louis M. A1 - Heath, Allison A1 - Grossman, Robert L. VL - 12 UR - http://www.nature.com/articles/s41467-021-21254-9 IS - 1 JO - Nat Commun ER - TY - JOUR T1 - Association of a single nucleotide polymorphism in the ubxn6 gene with long-term non-progression phenotype in HIV-positive individuals. JF - Clin Microbiol Infect Y1 - 2020 A1 - Díez-Fuertes, F A1 - De La Torre-Tarazona, H E A1 - Calonge, E A1 - Pernas, M A1 - Bermejo, M A1 - García-Pérez, J A1 - Álvarez, A A1 - Capa, L A1 - García-García, F A1 - Saumoy, M A1 - Riera, M A1 - Boland-Auge, A A1 - López-Galíndez, C A1 - Lathrop, M A1 - Dopazo, J A1 - Sakuntabhai, A A1 - Alcamí, J KW - Adaptor Proteins, Vesicular Transport KW - Autophagy-Related Proteins KW - Caveolin 1 KW - Cohort Studies KW - Dendritic Cells KW - Disease Progression KW - Gene Frequency KW - Gene Knockdown Techniques KW - Genetic Association Studies KW - HeLa Cells KW - HIV Infections KW - HIV Long-Term Survivors KW - HIV-1 KW - Humans KW - Macrophages KW - Oligonucleotide Array Sequence Analysis KW - Phenotype KW - Polymorphism, Single Nucleotide KW - whole exome sequencing AB -

OBJECTIVES: The long-term non-progressors (LTNPs) are a heterogeneous group of HIV-positive individuals characterized by their ability to maintain high CD4 T-cell counts and partially control viral replication for years in the absence of antiretroviral therapy. The present study aims to identify host single nucleotide polymorphisms (SNPs) associated with non-progression in a cohort of 352 individuals.

METHODS: DNA microarrays and exome sequencing were used for genotyping about 240 000 functional polymorphisms throughout more than 20 000 human genes. The allele frequencies of 85 LTNPs were compared with a control population. SNPs associated with LTNPs were confirmed in a population of typical progressors. Functional analyses in the affected gene were carried out through knockdown experiments in HeLa-P4, macrophages and dendritic cells.

RESULTS: Several SNPs located within the major histocompatibility complex region previously related to LTNPs were confirmed in this new cohort. The SNP rs1127888 (UBXN6) surpassed the statistical significance of these markers after Bonferroni correction (q = 2.11 × 10). An uncommon allelic frequency of rs1127888 among LTNPs was confirmed by comparison with typical progressors and other publicly available populations. UBXN6 knockdown experiments caused an increase in CAV1 expression and its accumulation in the plasma membrane. In vitro infection of different cell types with HIV-1 replication-competent recombinant viruses caused a reduction of the viral replication capacity compared with their corresponding wild-type cells expressing UBXN6.

CONCLUSIONS: A higher prevalence of Ala31Thr in UBXN6 was found among LTNPs within its N-terminal region, which is crucial for UBXN6/VCP protein complex formation. UBXN6 knockdown affected CAV1 turnover and HIV-1 replication capacity.

VL - 26 IS - 1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/31158522?dopt=Abstract ER - TY - JOUR T1 - Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics. JF - Cell Syst Y1 - 2020 A1 - Yang, Mi A1 - Petralia, Francesca A1 - Li, Zhi A1 - Li, Hongyang A1 - Ma, Weiping A1 - Song, Xiaoyu A1 - Kim, Sunkyu A1 - Lee, Heewon A1 - Yu, Han A1 - Lee, Bora A1 - Bae, Seohui A1 - Heo, Eunji A1 - Kaczmarczyk, Jan A1 - Stępniak, Piotr A1 - Warchoł, Michał A1 - Yu, Thomas A1 - Calinawan, Anna P A1 - Boutros, Paul C A1 - Payne, Samuel H A1 - Reva, Boris A1 - Boja, Emily A1 - Rodriguez, Henry A1 - Stolovitzky, Gustavo A1 - Guan, Yuanfang A1 - Kang, Jaewoo A1 - Wang, Pei A1 - Fenyö, David A1 - Saez-Rodriguez, Julio KW - Crowdsourcing KW - Female KW - Genomics KW - Humans KW - Machine Learning KW - Male KW - Neoplasms KW - Phosphoproteins KW - Proteins KW - Proteomics KW - Transcriptome AB -

Cancer is driven by genomic alterations, but the processes causing this disease are largely performed by proteins. However, proteins are harder and more expensive to measure than genes and transcripts. To catalyze developments of methods to infer protein levels from other omics measurements, we leveraged crowdsourcing via the NCI-CPTAC DREAM proteogenomic challenge. We asked for methods to predict protein and phosphorylation levels from genomic and transcriptomic data in cancer patients. The best performance was achieved by an ensemble of models, including as predictors transcript level of the corresponding genes, interaction between genes, conservation across tumor types, and phosphosite proximity for phosphorylation prediction. Proteins from metabolic pathways and complexes were the best and worst predicted, respectively. The performance of even the best-performing model was modest, suggesting that many proteins are strongly regulated through translational control and degradation. Our results set a reference for the limitations of computational inference in proteogenomics. A record of this paper's transparent peer review process is included in the Supplemental Information.

VL - 11 IS - 2 U1 - https://www.ncbi.nlm.nih.gov/pubmed/32710834?dopt=Abstract ER - TY - JOUR T1 - COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms. JF - Sci Data Y1 - 2020 A1 - Ostaszewski, Marek A1 - Mazein, Alexander A1 - Gillespie, Marc E A1 - Kuperstein, Inna A1 - Niarakis, Anna A1 - Hermjakob, Henning A1 - Pico, Alexander R A1 - Willighagen, Egon L A1 - Evelo, Chris T A1 - Hasenauer, Jan A1 - Schreiber, Falk A1 - Dräger, Andreas A1 - Demir, Emek A1 - Wolkenhauer, Olaf A1 - Furlong, Laura I A1 - Barillot, Emmanuel A1 - Dopazo, Joaquin A1 - Orta-Resendiz, Aurelio A1 - Messina, Francesco A1 - Valencia, Alfonso A1 - Funahashi, Akira A1 - Kitano, Hiroaki A1 - Auffray, Charles A1 - Balling, Rudi A1 - Schneider, Reinhard KW - Betacoronavirus KW - Computational Biology KW - Coronavirus Infections KW - COVID-19 KW - Databases, Factual KW - Host Microbial Interactions KW - Host-Pathogen Interactions KW - Humans KW - International Cooperation KW - Models, Biological KW - Pandemics KW - Pneumonia, Viral KW - SARS-CoV-2 VL - 7 IS - 1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/32371892?dopt=Abstract ER - TY - JOUR T1 - The ELIXIR Human Copy Number Variations Community: building bioinformatics infrastructure for research. JF - F1000Res Y1 - 2020 A1 - Salgado, David A1 - Armean, Irina M A1 - Baudis, Michael A1 - Beltran, Sergi A1 - Capella-Gutíerrez, Salvador A1 - Carvalho-Silva, Denise A1 - Dominguez Del Angel, Victoria A1 - Dopazo, Joaquin A1 - Furlong, Laura I A1 - Gao, Bo A1 - Garcia, Leyla A1 - Gerloff, Dietlind A1 - Gut, Ivo A1 - Gyenesei, Attila A1 - Habermann, Nina A1 - Hancock, John M A1 - Hanauer, Marc A1 - Hovig, Eivind A1 - Johansson, Lennart F A1 - Keane, Thomas A1 - Korbel, Jan A1 - Lauer, Katharina B A1 - Laurie, Steve A1 - Leskošek, Brane A1 - Lloyd, David A1 - Marqués-Bonet, Tomás A1 - Mei, Hailiang A1 - Monostory, Katalin A1 - Piñero, Janet A1 - Poterlowicz, Krzysztof A1 - Rath, Ana A1 - Samarakoon, Pubudu A1 - Sanz, Ferran A1 - Saunders, Gary A1 - Sie, Daoud A1 - Swertz, Morris A A1 - Tsukanov, Kirill A1 - Valencia, Alfonso A1 - Vidak, Marko A1 - Yenyxe González, Cristina A1 - Ylstra, Bauke A1 - Béroud, Christophe KW - Computational Biology KW - DNA Copy Number Variations KW - High-Throughput Nucleotide Sequencing KW - Humans AB -

Copy number variations (CNVs) are major causative contributors both in the genesis of genetic diseases and human neoplasias. While "High-Throughput" sequencing technologies are increasingly becoming the primary choice for genomic screening analysis, their ability to efficiently detect CNVs is still heterogeneous and remains to be developed. The aim of this white paper is to provide a guiding framework for the future contributions of ELIXIR's recently established with implications beyond human disease diagnostics and population genomics. This white paper is the direct result of a strategy meeting that took place in September 2018 in Hinxton (UK) and involved representatives of 11 ELIXIR Nodes. The meeting led to the definition of priority objectives and tasks, to address a wide range of CNV-related challenges ranging from detection and interpretation to sharing and training. Here, we provide suggestions on how to align these tasks within the ELIXIR Platforms strategy, and on how to frame the activities of this new ELIXIR Community in the international context.

VL - 9 U1 - https://www.ncbi.nlm.nih.gov/pubmed/34367618?dopt=Abstract ER - TY - JOUR T1 - Immune Cell Associations with Cancer Risk. JF - iScience Y1 - 2020 A1 - Palomero, Luis A1 - Galván-Femenía, Ivan A1 - de Cid, Rafael A1 - Espín, Roderic A1 - Barnes, Daniel R A1 - Blommaert, Eline A1 - Gil-Gil, Miguel A1 - Falo, Catalina A1 - Stradella, Agostina A1 - Ouchi, Dan A1 - Roso-Llorach, Albert A1 - Violan, Concepció A1 - Peña-Chilet, Maria A1 - Dopazo, Joaquin A1 - Extremera, Ana Isabel A1 - García-Valero, Mar A1 - Herranz, Carmen A1 - Mateo, Francesca A1 - Mereu, Elisabetta A1 - Beesley, Jonathan A1 - Chenevix-Trench, Georgia A1 - Roux, Cecilia A1 - Mak, Tak A1 - Brunet, Joan A1 - Hakem, Razq A1 - Gorrini, Chiara A1 - Antoniou, Antonis C A1 - Lázaro, Conxi A1 - Pujana, Miquel Angel AB -

Proper immune system function hinders cancer development, but little is known about whether genetic variants linked to cancer risk alter immune cells. Here, we report 57 cancer risk loci associated with differences in immune and/or stromal cell contents in the corresponding tissue. Predicted target genes show expression and regulatory associations with immune features. Polygenic risk scores also reveal associations with immune and/or stromal cell contents, and breast cancer scores show consistent results in normal and tumor tissue. SH2B3 links peripheral alterations of several immune cell types to the risk of this malignancy. Pleiotropic SH2B3 variants are associated with breast cancer risk in BRCA1/2 mutation carriers. A retrospective case-cohort study indicates a positive association between blood counts of basophils, leukocytes, and monocytes and age at breast cancer diagnosis. These findings broaden our knowledge of the role of the immune system in cancer and highlight promising prevention strategies for individuals at high risk.

VL - 23 IS - 7 U1 - https://www.ncbi.nlm.nih.gov/pubmed/32622267?dopt=Abstract ER - TY - JOUR T1 - Nivolumab and sunitinib combination in advanced soft tissue sarcomas: a multicenter, single-arm, phase Ib/II trial. JF - J Immunother Cancer Y1 - 2020 A1 - Martin-Broto, Javier A1 - Hindi, Nadia A1 - Grignani, Giovanni A1 - Martinez-Trufero, Javier A1 - Redondo, Andres A1 - Valverde, Claudia A1 - Stacchiotti, Silvia A1 - Lopez-Pousa, Antonio A1 - D'Ambrosio, Lorenzo A1 - Gutierrez, Antonio A1 - Perez-Vega, Herminia A1 - Encinas-Tobajas, Victor A1 - de Alava, Enrique A1 - Collini, Paola A1 - Peña-Chilet, Maria A1 - Dopazo, Joaquin A1 - Carrasco-Garcia, Irene A1 - Lopez-Alvarez, Maria A1 - Moura, David S A1 - Lopez-Martin, Jose A KW - Adult KW - Aged KW - Antineoplastic Agents, Immunological KW - Female KW - Humans KW - Male KW - Middle Aged KW - Nivolumab KW - Sarcoma KW - Sunitinib KW - Young Adult AB -

BACKGROUND: Sarcomas exhibit low expression of factors related to immune response, which could explain the modest activity of PD-1 inhibitors. A potential strategy to convert a cold into an inflamed microenvironment lies on a combination therapy. As tumor angiogenesis promotes immunosuppression, we designed a phase Ib/II trial to test the double inhibition of angiogenesis (sunitinib) and PD-1/PD-L1 axis (nivolumab).

METHODS: This single-arm, phase Ib/II trial enrolled adult patients with selected subtypes of sarcoma. Phase Ib established two dose levels: level 0 with sunitinib 37.5 mg daily from day 1, plus nivolumab 3 mg/kg intravenously on day 15, and then every 2 weeks; and level -1 with sunitinib 37.5 mg on the first 14 days (induction) and then 25 mg per day plus nivolumab on the same schedule. The primary endpoint was to determine the recommended dose for phase II (phase I) and the 6-month progression-free survival rate, according to Response Evaluation Criteria in Solid Tumors 1.1 (phase II).

RESULTS: From May 2017 to April 2019, 68 patients were enrolled: 16 in phase Ib and 52 in phase II. The recommended dose of sunitinib for phase II was 37.5 mg as induction and then 25 mg in combination with nivolumab. After a median follow-up of 17 months (4-26), the 6-month progression-free survival rate was 48% (95% CI 41% to 55%). The most common grade 3-4 adverse events included transaminitis (17.3%) and neutropenia (11.5%).

CONCLUSIONS: Sunitinib plus nivolumab is an active scheme with manageable toxicity in the treatment of selected patients with advanced soft tissue sarcoma, with almost half of patients free of progression at 6 months. NCT03277924.

VL - 8 IS - 2 U1 - https://www.ncbi.nlm.nih.gov/pubmed/33203665?dopt=Abstract ER - TY - JOUR T1 - Optimised molecular genetic diagnostics of Fanconi anaemia by whole exome sequencing and functional studies. JF - J Med Genet Y1 - 2020 A1 - Bogliolo, Massimo A1 - Pujol, Roser A1 - Aza-Carmona, Miriam A1 - Muñoz-Subirana, Núria A1 - Rodriguez-Santiago, Benjamin A1 - Casado, José Antonio A1 - Rio, Paula A1 - Bauser, Christopher A1 - Reina-Castillón, Judith A1 - Lopez-Sanchez, Marcos A1 - Gonzalez-Quereda, Lidia A1 - Gallano, Pia A1 - Catalá, Albert A1 - Ruiz-Llobet, Ana A1 - Badell, Isabel A1 - Diaz-Heredia, Cristina A1 - Hladun, Raquel A1 - Senent, Leonort A1 - Argiles, Bienvenida A1 - Bergua Burgues, Juan Miguel A1 - Bañez, Fatima A1 - Arrizabalaga, Beatriz A1 - López Almaraz, Ricardo A1 - Lopez, Monica A1 - Figuera, Ángela A1 - Molinés, Antonio A1 - Pérez de Soto, Inmaculada A1 - Hernando, Inés A1 - Muñoz, Juan Antonio A1 - Del Rosario Marin, Maria A1 - Balmaña, Judith A1 - Stjepanovic, Neda A1 - Carrasco, Estela A1 - Cuesta, Isabel A1 - Cosuelo, José Miguel A1 - Regueiro, Alexandra A1 - Moraleda Jimenez, José A1 - Galera-Miñarro, Ana Maria A1 - Rosiñol, Laura A1 - Carrió, Anna A1 - Beléndez-Bieler, Cristina A1 - Escudero Soto, Antonio A1 - Cela, Elena A1 - de la Mata, Gregorio A1 - Fernández-Delgado, Rafael A1 - Garcia-Pardos, Maria Carmen A1 - Sáez-Villaverde, Raquel A1 - Barragaño, Marta A1 - Portugal, Raquel A1 - Lendinez, Francisco A1 - Hernadez, Ines A1 - Vagace, José Manue A1 - Tapia, Maria A1 - Nieto, José A1 - Garcia, Marta A1 - Gonzalez, Macarena A1 - Vicho, Cristina A1 - Galvez, Eva A1 - Valiente, Alberto A1 - Antelo, Maria Luisa A1 - Ancliff, Phil A1 - García, Francisco A1 - Dopazo, Joaquin A1 - Sevilla, Julian A1 - Paprotka, Tobias A1 - Pérez-Jurado, Luis Alberto A1 - Bueren, Juan A1 - Surralles, Jordi KW - Cell Line KW - DNA Copy Number Variations KW - DNA Repair KW - DNA-Binding Proteins KW - Fanconi Anemia KW - Fanconi Anemia Complementation Group A Protein KW - Female KW - Gene Knockout Techniques KW - Genetic Predisposition to Disease KW - Humans KW - Male KW - Mutation, Missense KW - Polymorphism, Single Nucleotide KW - whole exome sequencing AB -

PURPOSE: Patients with Fanconi anaemia (FA), a rare DNA repair genetic disease, exhibit chromosome fragility, bone marrow failure, malformations and cancer susceptibility. FA molecular diagnosis is challenging since FA is caused by point mutations and large deletions in 22 genes following three heritability patterns. To optimise FA patients' characterisation, we developed a simplified but effective methodology based on whole exome sequencing (WES) and functional studies.

METHODS: 68 patients with FA were analysed by commercial WES services. Copy number variations were evaluated by sequencing data analysis with RStudio. To test missense variants, wt FANCA cDNA was cloned and variants were introduced by site-directed mutagenesis. Vectors were then tested for their ability to complement DNA repair defects of a FANCA-KO human cell line generated by TALEN technologies.

RESULTS: We identified 93.3% of mutated alleles including large deletions. We determined the pathogenicity of three FANCA missense variants and demonstrated that two variants reported in mutations databases as 'affecting functions' are SNPs. Deep analysis of sequencing data revealed patients' true mutations, highlighting the importance of functional analysis. In one patient, no pathogenic variant could be identified in any of the 22 known FA genes, and in seven patients, only one deleterious variant could be identified (three patients each with FANCA and FANCD2 and one patient with FANCE mutations) CONCLUSION: WES and proper bioinformatics analysis are sufficient to effectively characterise patients with FA regardless of the rarity of their complementation group, type of mutations, mosaic condition and DNA source.

VL - 57 IS - 4 U1 - https://www.ncbi.nlm.nih.gov/pubmed/31586946?dopt=Abstract ER - TY - JOUR T1 - Pazopanib for treatment of typical solitary fibrous tumours: a multicentre, single-arm, phase 2 trial. JF - Lancet Oncol Y1 - 2020 A1 - Martin-Broto, Javier A1 - Cruz, Josefina A1 - Penel, Nicolas A1 - Le Cesne, Axel A1 - Hindi, Nadia A1 - Luna, Pablo A1 - Moura, David S A1 - Bernabeu, Daniel A1 - de Alava, Enrique A1 - Lopez-Guerrero, Jose Antonio A1 - Dopazo, Joaquin A1 - Peña-Chilet, Maria A1 - Gutierrez, Antonio A1 - Collini, Paola A1 - Karanian, Marie A1 - Redondo, Andres A1 - Lopez-Pousa, Antonio A1 - Grignani, Giovanni A1 - Diaz-Martin, Juan A1 - Marcilla, David A1 - Fernandez-Serra, Antonio A1 - Gonzalez-Aguilera, Cristina A1 - Casali, Paolo G A1 - Blay, Jean-Yves A1 - Stacchiotti, Silvia KW - Aged KW - Female KW - Follow-Up Studies KW - Humans KW - Indazoles KW - Male KW - Middle Aged KW - Neoplasm Metastasis KW - Prognosis KW - Prospective Studies KW - Protein Kinase Inhibitors KW - Pyrimidines KW - Response Evaluation Criteria in Solid Tumors KW - Solitary Fibrous Tumors KW - Sulfonamides KW - Survival Rate AB -

BACKGROUND: Solitary fibrous tumour is an ultra-rare sarcoma, which encompasses different clinicopathological subgroups. The dedifferentiated subgroup shows an aggressive course with resistance to pazopanib, whereas in the malignant subgroup, pazopanib shows higher activity than in previous studies with chemotherapy. We designed a trial to test pazopanib activity in two different cohorts of solitary fibrous tumour: the malignant-dedifferentiated cohort, which was previously published, and the typical cohort, which is presented here.

METHODS: In this single-arm, phase 2 trial, adult patients (aged ≥18 years) diagnosed with confirmed metastatic or unresectable typical solitary fibrous tumour of any location, who had progressed in the previous 6 months (by Choi criteria or Response Evaluation Criteria in Solid Tumors [RECIST]) and an Eastern Cooperative Oncology Group (ECOG) performance status of 0-2 were enrolled at 11 tertiary hospitals in Italy, France, and Spain. Patients received pazopanib 800 mg once daily, taken orally, until progression, unacceptable toxicity, withdrawal of consent, non-compliance, or a delay in pazopanib administration of longer than 3 weeks. The primary endpoint was proportion of patients achieving an overall response measured by Choi criteria in patients who received at least 1 month of treatment with at least one radiological assessment. All patients who received at least one dose of the study drug were included in the safety analyses. This study is registered in ClinicalTrials.gov, NCT02066285, and with the European Clinical Trials Database, EudraCT 2013-005456-15.

FINDINGS: From June 26, 2014, to Dec 13, 2018, of 40 patients who were assessed, 34 patients were enrolled and 31 patients were included in the response analysis. Median follow-up was 18 months (IQR 14-34), and 18 (58%) of 31 patients had a partial response, 12 (39%) had stable disease, and one (3%) showed progressive disease according to Choi criteria and central review. The proportion of overall response based on Choi criteria was 58% (95% CI 34-69). There were no deaths caused by toxicity, and the most frequent adverse events were diarrhoea (18 [53%] of 34 patients), fatigue (17 [50%]), and hypertension (17 [50%]).

INTERPRETATION: To our knowledge, this is the first prospective trial of pazopanib for advanced typical solitary fibrous tumour. The manageable toxicity and activity shown by pazopanib in this cohort suggest that this drug could be considered as first-line treatment for advanced typical solitary fibrous tumour.

FUNDING: Spanish Group for Research on Sarcomas (GEIS), Italian Sarcoma Group (ISG), French Sarcoma Group (FSG), GlaxoSmithKline, and Novartis.

VL - 21 IS - 3 U1 - https://www.ncbi.nlm.nih.gov/pubmed/32066540?dopt=Abstract ER - TY - JOUR T1 - Platform to study intracellular polystyrene nanoplastic pollution and clinical outcomes. JF - Stem Cells Y1 - 2020 A1 - Bojic, Sanja A1 - Falco, Matias M A1 - Stojkovic, Petra A1 - Ljujic, Biljana A1 - Gazdic Jankovic, Marina A1 - Armstrong, Lyle A1 - Markovic, Nebojsa A1 - Dopazo, Joaquin A1 - Lako, Majlinda A1 - Bauer, Roman A1 - Stojkovic, Miodrag KW - Environmental Pollution KW - Humans KW - Induced Pluripotent Stem Cells KW - Intracellular Space KW - Nanoparticles KW - Plastics KW - Polystyrenes KW - Transcriptome KW - Treatment Outcome AB -

Increased pollution by plastics has become a serious global environmental problem, but the concerns for human health have been raised after reported presence of microplastics (MPs) and nanoplastics (NPs) in food and beverages. Unfortunately, few studies have investigate the potentially harmful effects of MPs/NPs on early human development and human health. Therefore, we used a new platform to study possible effects of polystyrene NPs (PSNPs) on the transcription profile of preimplantation human embryos and human induced pluripotent stem cells (hiPSCs). Two pluripotency genes, LEFTY1 and LEFTY2, which encode secreted ligands of the transforming growth factor-beta, were downregulated, while CA4 and OCLM, which are related to eye development, were upregulated in both samples. The gene set enrichment analysis showed that the development of atrioventricular heart valves and the dysfunction of cellular components, including extracellular matrix, were significantly affected after exposure of hiPSCs to PSNPs. Finally, using the HiPathia method, which uncovers disease mechanisms and predicts clinical outcomes, we determined the APOC3 circuit, which is responsible for increased risk for ischemic cardiovascular disease. These results clearly demonstrate that better understanding of NPs bioactivities and its implications for human health is of extreme importance. Thus, the presented platform opens further aspects to study interactions between different environmental and intracellular pollutions with the aim to decipher the mechanism and origin of human diseases.

VL - 38 IS - 10 U1 - https://www.ncbi.nlm.nih.gov/pubmed/32614127?dopt=Abstract ER - TY - JOUR T1 - SMN1 copy-number and sequence variant analysis from next-generation sequencing data. JF - Hum Mutat Y1 - 2020 A1 - López-López, Daniel A1 - Loucera, Carlos A1 - Carmona, Rosario A1 - Aquino, Virginia A1 - Salgado, Josefa A1 - Pasalodos, Sara A1 - Miranda, María A1 - Alonso, Ángel A1 - Dopazo, Joaquin KW - Base Sequence KW - DNA Copy Number Variations KW - High-Throughput Nucleotide Sequencing KW - Humans KW - Reproducibility of Results KW - Software KW - Survival of Motor Neuron 1 Protein AB -

Spinal muscular atrophy (SMA) is a severe neuromuscular autosomal recessive disorder affecting 1/10,000 live births. Most SMA patients present homozygous deletion of SMN1, while the vast majority of SMA carriers present only a single SMN1 copy. The sequence similarity between SMN1 and SMN2, and the complexity of the SMN locus makes the estimation of the SMN1 copy-number by next-generation sequencing (NGS) very difficult. Here, we present SMAca, the first python tool to detect SMA carriers and estimate the absolute SMN1 copy-number using NGS data. Moreover, SMAca takes advantage of the knowledge of certain variants specific to SMN1 duplication to also identify silent carriers. This tool has been validated with a cohort of 326 samples from the Navarra 1000 Genomes Project (NAGEN1000). SMAca was developed with a focus on execution speed and easy installation. This combination makes it especially suitable to be integrated into production NGS pipelines. Source code and documentation are available at https://www.github.com/babelomics/SMAca.

VL - 41 IS - 12 U1 - https://www.ncbi.nlm.nih.gov/pubmed/33058415?dopt=Abstract ER - TY - JOUR T1 - Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen. JF - Nat Commun Y1 - 2019 A1 - Menden, Michael P A1 - Wang, Dennis A1 - Mason, Mike J A1 - Szalai, Bence A1 - Bulusu, Krishna C A1 - Guan, Yuanfang A1 - Yu, Thomas A1 - Kang, Jaewoo A1 - Jeon, Minji A1 - Wolfinger, Russ A1 - Nguyen, Tin A1 - Zaslavskiy, Mikhail A1 - Jang, In Sock A1 - Ghazoui, Zara A1 - Ahsen, Mehmet Eren A1 - Vogel, Robert A1 - Neto, Elias Chaibub A1 - Norman, Thea A1 - Tang, Eric K Y A1 - Garnett, Mathew J A1 - Veroli, Giovanni Y Di A1 - Fawell, Stephen A1 - Stolovitzky, Gustavo A1 - Guinney, Justin A1 - Dry, Jonathan R A1 - Saez-Rodriguez, Julio KW - ADAM17 Protein KW - Antineoplastic Combined Chemotherapy Protocols KW - Benchmarking KW - Biomarkers, Tumor KW - Cell Line, Tumor KW - Computational Biology KW - Datasets as Topic KW - Drug Antagonism KW - Drug Resistance, Neoplasm KW - Drug Synergism KW - Genomics KW - Humans KW - Molecular Targeted Therapy KW - mutation KW - Neoplasms KW - pharmacogenetics KW - Phosphatidylinositol 3-Kinases KW - Phosphoinositide-3 Kinase Inhibitors KW - Treatment Outcome AB -

The effectiveness of most cancer targeted therapies is short-lived. Tumors often develop resistance that might be overcome with drug combinations. However, the number of possible combinations is vast, necessitating data-driven approaches to find optimal patient-specific treatments. Here we report AstraZeneca's large drug combination dataset, consisting of 11,576 experiments from 910 combinations across 85 molecularly characterized cancer cell lines, and results of a DREAM Challenge to evaluate computational strategies for predicting synergistic drug pairs and biomarkers. 160 teams participated to provide a comprehensive methodological development and benchmarking. Winning methods incorporate prior knowledge of drug-target interactions. Synergy is predicted with an accuracy matching biological replicates for >60% of combinations. However, 20% of drug combinations are poorly predicted by all methods. Genomic rationale for synergy predictions are identified, including ADAM17 inhibitor antagonism when combined with PIK3CB/D inhibition contrasting to synergy when combined with other PI3K-pathway inhibitors in PIK3CA mutant cells.

VL - 10 IS - 1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/31209238?dopt=Abstract ER - TY - JOUR T1 - Differential metabolic activity and discovery of therapeutic targets using summarized metabolic pathway models. JF - NPJ Syst Biol Appl Y1 - 2019 A1 - Cubuk, Cankut A1 - Hidalgo, Marta R A1 - Amadoz, Alicia A1 - Rian, Kinza A1 - Salavert, Francisco A1 - Pujana, Miguel A A1 - Mateo, Francesca A1 - Herranz, Carmen A1 - Carbonell-Caballero, José A1 - Dopazo, Joaquin KW - Computational Biology KW - Computer Simulation KW - Drug discovery KW - Gene Regulatory Networks KW - Humans KW - Internet KW - Metabolic Networks and Pathways KW - Models, Biological KW - Neoplasms KW - Phenotype KW - Software KW - Transcriptome AB -

In spite of the increasing availability of genomic and transcriptomic data, there is still a gap between the detection of perturbations in gene expression and the understanding of their contribution to the molecular mechanisms that ultimately account for the phenotype studied. Alterations in the metabolism are behind the initiation and progression of many diseases, including cancer. The wealth of available knowledge on metabolic processes can therefore be used to derive mechanistic models that link gene expression perturbations to changes in metabolic activity that provide relevant clues on molecular mechanisms of disease and drug modes of action (MoA). In particular, pathway modules, which recapitulate the main aspects of metabolism, are especially suitable for this type of modeling. We present Metabolizer, a web-based application that offers an intuitive, easy-to-use interactive interface to analyze differences in pathway metabolic module activities that can also be used for class prediction and in silico prediction of knock-out (KO) effects. Moreover, Metabolizer can automatically predict the optimal KO intervention for restoring a diseased phenotype. We provide different types of validations of some of the predictions made by Metabolizer. Metabolizer is a web tool that allows understanding molecular mechanisms of disease or the MoA of drugs within the context of the metabolism by using gene expression measurements. In addition, this tool automatically suggests potential therapeutic targets for individualized therapeutic interventions.

VL - 5 U1 - https://www.ncbi.nlm.nih.gov/pubmed/30854222?dopt=Abstract ER - TY - JOUR T1 - Pazopanib for treatment of advanced malignant and dedifferentiated solitary fibrous tumour: a multicentre, single-arm, phase 2 trial. JF - Lancet Oncol Y1 - 2019 A1 - Martin-Broto, Javier A1 - Stacchiotti, Silvia A1 - Lopez-Pousa, Antonio A1 - Redondo, Andres A1 - Bernabeu, Daniel A1 - de Alava, Enrique A1 - Casali, Paolo G A1 - Italiano, Antoine A1 - Gutierrez, Antonio A1 - Moura, David S A1 - Peña-Chilet, Maria A1 - Diaz-Martin, Juan A1 - Biscuola, Michele A1 - Taron, Miguel A1 - Collini, Paola A1 - Ranchere-Vince, Dominique A1 - Garcia Del Muro, Xavier A1 - Grignani, Giovanni A1 - Dumont, Sarah A1 - Martinez-Trufero, Javier A1 - Palmerini, Emanuela A1 - Hindi, Nadia A1 - Sebio, Ana A1 - Dopazo, Joaquin A1 - Dei Tos, Angelo Paolo A1 - LeCesne, Axel A1 - Blay, Jean-Yves A1 - Cruz, Josefina KW - Adult KW - Aged KW - Angiogenesis Inhibitors KW - Antineoplastic Agents KW - Female KW - Humans KW - Indazoles KW - Male KW - Middle Aged KW - Multivariate Analysis KW - Pyrimidines KW - Response Evaluation Criteria in Solid Tumors KW - Soft Tissue Neoplasms KW - Solitary Fibrous Tumors KW - Sulfonamides KW - Survival Analysis AB -

BACKGROUND: A solitary fibrous tumour is a rare soft-tissue tumour with three clinicopathological variants: typical, malignant, and dedifferentiated. Preclinical experiments and retrospective studies have shown different sensitivities of solitary fibrous tumour to chemotherapy and antiangiogenics. We therefore designed a trial to assess the activity of pazopanib in a cohort of patients with malignant or dedifferentiated solitary fibrous tumour. The clinical and translational results are presented here.

METHODS: In this single-arm, phase 2 trial, adult patients (aged ≥ 18 years) with histologically confirmed metastatic or unresectable malignant or dedifferentiated solitary fibrous tumour at any location, who had progressed (by RECIST and Choi criteria) in the previous 6 months and had an ECOG performance status of 0-2, were enrolled at 16 third-level hospitals with expertise in sarcoma care in Spain, Italy, and France. Patients received pazopanib 800 mg once daily, taken orally without food, at least 1 h before or 2 h after a meal, until progression or intolerance. The primary endpoint of the study was overall response measured by Choi criteria in the subset of the intention-to-treat population (patients who received at least 1 month of treatment with at least one radiological assessment). All patients who received at least one dose of the study drug were included in the safety analyses. This study is registered with ClinicalTrials.gov, number NCT02066285, and with the European Clinical Trials Database, EudraCT number 2013-005456-15.

FINDINGS: From June 26, 2014, to Nov 24, 2016, of 40 patients assessed, 36 were enrolled (34 with malignant solitary fibrous tumour and two with dedifferentiated solitary fibrous tumour). Median follow-up was 27 months (IQR 16-31). Based on central radiology review, 18 (51%) of 35 evaluable patients had partial responses, nine (26%) had stable disease, and eight (23%) had progressive disease according to Choi criteria. Further enrolment of patients with dedifferentiated solitary fibrous tumour was stopped after detection of early and fast progressions in a planned interim analysis. 51% (95% CI 34-69) of 35 patients achieved an overall response according to Choi criteria. Ten (29%) of 35 patients died. There were no deaths related to adverse events and the most frequent grade 3 or higher adverse events were hypertension (11 [31%] of 36 patients), neutropenia (four [11%]), increased concentrations of alanine aminotransferase (four [11%]), and increased concentrations of bilirubin (three [8%]).

INTERPRETATION: To our knowledge, this is the first trial of pazopanib for treatment of malignant solitary fibrous tumour showing activity in this patient group. The manageable toxicity profile and the activity shown by pazopanib suggests that this drug could be an option for systemic treatment of advanced malignant solitary fibrous tumour, and provides a benchmark for future trials.

FUNDING: Spanish Group for Research on Sarcomas (GEIS), Italian Sarcoma Group (ISG), French Sarcoma Group (FSG), GlaxoSmithKline, and Novartis.

VL - 20 IS - 1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/30578023?dopt=Abstract ER - TY - JOUR T1 - A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection JF - Nature Communications Y1 - 2018 A1 - Fourati, Slim A1 - Talla, Aarthi A1 - Mahmoudian, Mehrad A1 - Burkhart, Joshua G. A1 - Klén, Riku A1 - Henao, Ricardo A1 - Yu, Thomas A1 - Aydın, Zafer A1 - Yeung, Ka Yee A1 - Ahsen, Mehmet Eren A1 - Almugbel, Reem A1 - Jahandideh, Samad A1 - Liang, Xiao A1 - Nordling, Torbjörn E. M. A1 - Shiga, Motoki A1 - Stanescu, Ana A1 - Vogel, Robert A1 - Pandey, Gaurav A1 - Chiu, Christopher A1 - McClain, Micah T. A1 - Woods, Christopher W. A1 - Ginsburg, Geoffrey S. A1 - Elo, Laura L. A1 - Tsalik, Ephraim L. A1 - Mangravite, Lara M. A1 - Sieberts, Solveig K. VL - 9 UR - http://www.nature.com/articles/s41467-018-06735-8http://www.nature.com/articles/s41467-018-06735-8.pdfhttp://www.nature.com/articles/s41467-018-06735-8.pdfhttp://www.nature.com/articles/s41467-018-06735-8 IS - 1 JO - Nat Commun ER - TY - JOUR T1 - The effects of death and post-mortem cold ischemia on human tissue transcriptomes. JF - Nat Commun Y1 - 2018 A1 - Ferreira, Pedro G A1 - Muñoz-Aguirre, Manuel A1 - Reverter, Ferran A1 - Sá Godinho, Caio P A1 - Sousa, Abel A1 - Amadoz, Alicia A1 - Sodaei, Reza A1 - Hidalgo, Marta R A1 - Pervouchine, Dmitri A1 - Carbonell-Caballero, José A1 - Nurtdinov, Ramil A1 - Breschi, Alessandra A1 - Amador, Raziel A1 - Oliveira, Patrícia A1 - Cubuk, Cankut A1 - Curado, João A1 - Aguet, François A1 - Oliveira, Carla A1 - Dopazo, Joaquin A1 - Sammeth, Michael A1 - Ardlie, Kristin G A1 - Guigó, Roderic KW - Blood KW - Cold Ischemia KW - Death KW - Female KW - gene expression KW - Humans KW - Models, Biological KW - Postmortem Changes KW - RNA, Messenger KW - Stochastic Processes KW - Transcriptome AB -

Post-mortem tissues samples are a key resource for investigating patterns of gene expression. However, the processes triggered by death and the post-mortem interval (PMI) can significantly alter physiologically normal RNA levels. We investigate the impact of PMI on gene expression using data from multiple tissues of post-mortem donors obtained from the GTEx project. We find that many genes change expression over relatively short PMIs in a tissue-specific manner, but this potentially confounding effect in a biological analysis can be minimized by taking into account appropriate covariates. By comparing ante- and post-mortem blood samples, we identify the cascade of transcriptional events triggered by death of the organism. These events do not appear to simply reflect stochastic variation resulting from mRNA degradation, but active and ongoing regulation of transcription. Finally, we develop a model to predict the time since death from the analysis of the transcriptome of a few readily accessible tissues.

VL - 9 IS - 1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/29440659?dopt=Abstract ER - TY - JOUR T1 - LRH-1 agonism favours an immune-islet dialogue which protects against diabetes mellitus. JF - Nat Commun Y1 - 2018 A1 - Cobo-Vuilleumier, Nadia A1 - Lorenzo, Petra I A1 - Rodríguez, Noelia García A1 - Herrera Gómez, Irene de Gracia A1 - Fuente-Martin, Esther A1 - López-Noriega, Livia A1 - Mellado-Gil, José Manuel A1 - Romero-Zerbo, Silvana-Yanina A1 - Baquié, Mathurin A1 - Lachaud, Christian Claude A1 - Stifter, Katja A1 - Perdomo, German A1 - Bugliani, Marco A1 - De Tata, Vincenzo A1 - Bosco, Domenico A1 - Parnaud, Geraldine A1 - Pozo, David A1 - Hmadcha, Abdelkrim A1 - Florido, Javier P A1 - Toscano, Miguel G A1 - de Haan, Peter A1 - Schoonjans, Kristina A1 - Sánchez Palazón, Luis A1 - Marchetti, Piero A1 - Schirmbeck, Reinhold A1 - Martín-Montalvo, Alejandro A1 - Meda, Paolo A1 - Soria, Bernat A1 - Bermúdez-Silva, Francisco-Javier A1 - St-Onge, Luc A1 - Gauthier, Benoit R KW - Animals KW - Apoptosis KW - Cell Communication KW - Cell Survival KW - Diabetes Mellitus, Experimental KW - Diabetes Mellitus, Type 2 KW - Female KW - Gene Expression Regulation KW - Humans KW - Hypoglycemic Agents KW - Immunity, Innate KW - insulin KW - Insulin-Secreting Cells KW - Islets of Langerhans KW - Islets of Langerhans Transplantation KW - Macrophages KW - Male KW - Mice KW - Mice, Inbred C57BL KW - Phenalenes KW - Receptors, Cytoplasmic and Nuclear KW - Streptozocin KW - T-Lymphocytes, Regulatory KW - Transplantation, Heterologous AB -

Type 1 diabetes mellitus (T1DM) is due to the selective destruction of islet beta cells by immune cells. Current therapies focused on repressing the immune attack or stimulating beta cell regeneration still have limited clinical efficacy. Therefore, it is timely to identify innovative targets to dampen the immune process, while promoting beta cell survival and function. Liver receptor homologue-1 (LRH-1) is a nuclear receptor that represses inflammation in digestive organs, and protects pancreatic islets against apoptosis. Here, we show that BL001, a small LRH-1 agonist, impedes hyperglycemia progression and the immune-dependent inflammation of pancreas in murine models of T1DM, and beta cell apoptosis in islets of type 2 diabetic patients, while increasing beta cell mass and insulin secretion. Thus, we suggest that LRH-1 agonism favors a dialogue between immune and islet cells, which could be druggable to protect against diabetes mellitus.

VL - 9 IS - 1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/29662071?dopt=Abstract ER - TY - JOUR T1 - The modular network structure of the mutational landscape of Acute Myeloid Leukemia. JF - PLoS One Y1 - 2018 A1 - Ibáñez, Mariam A1 - Carbonell-Caballero, José A1 - Such, Esperanza A1 - García-Alonso, Luz A1 - Liquori, Alessandro A1 - López-Pavía, María A1 - LLop, Marta A1 - Alonso, Carmen A1 - Barragán, Eva A1 - Gómez-Seguí, Inés A1 - Neef, Alexander A1 - Hervás, David A1 - Montesinos, Pau A1 - Sanz, Guillermo A1 - Sanz, Miguel Angel A1 - Dopazo, Joaquin A1 - Cervera, José KW - Adult KW - Aged KW - Cytodiagnosis KW - Female KW - Gene Regulatory Networks KW - Genetic Association Studies KW - Genetic Heterogeneity KW - Humans KW - Karyotype KW - Leukemia, Myeloid, Acute KW - Male KW - Middle Aged KW - mutation KW - Neoplasm Proteins KW - Nucleophosmin KW - Prognosis KW - whole exome sequencing AB -

Acute myeloid leukemia (AML) is associated with the sequential accumulation of acquired genetic alterations. Although at diagnosis cytogenetic alterations are frequent in AML, roughly 50% of patients present an apparently normal karyotype (NK), leading to a highly heterogeneous prognosis. Due to this significant heterogeneity, it has been suggested that different molecular mechanisms may trigger the disease with diverse prognostic implications. We performed whole-exome sequencing (WES) of tumor-normal matched samples of de novo AML-NK patients lacking mutations in NPM1, CEBPA or FLT3-ITD to identify new gene mutations with potential prognostic and therapeutic relevance to patients with AML. Novel candidate-genes, together with others previously described, were targeted resequenced in an independent cohort of 100 de novo AML patients classified in the cytogenetic intermediate-risk (IR) category. A mean of 4.89 mutations per sample were detected in 73 genes, 35 of which were mutated in more than one patient. After a network enrichment analysis, we defined a single in silico model and established a set of seed-genes that may trigger leukemogenesis in patients with normal karyotype. The high heterogeneity of gene mutations observed in AML patients suggested that a specific alteration could not be as essential as the interaction of deregulated pathways.

VL - 13 IS - 10 U1 - https://www.ncbi.nlm.nih.gov/pubmed/30303964?dopt=Abstract ER - TY - JOUR T1 - High throughput estimation of functional cell activities reveals disease mechanisms and predicts relevant clinical outcomes. JF - Oncotarget Y1 - 2017 A1 - Hidalgo, Marta R A1 - Cubuk, Cankut A1 - Amadoz, Alicia A1 - Salavert, Francisco A1 - Carbonell-Caballero, José A1 - Dopazo, Joaquin KW - Computational Biology KW - gene expression KW - Gene Regulatory Networks KW - Humans KW - mutation KW - Neoplasms KW - Precision Medicine KW - Sequence Analysis, RNA KW - Signal Transduction AB -

Understanding the aspects of the cell functionality that account for disease or drug action mechanisms is a main challenge for precision medicine. Here we propose a new method that models cell signaling using biological knowledge on signal transduction. The method recodes individual gene expression values (and/or gene mutations) into accurate measurements of changes in the activity of signaling circuits, which ultimately constitute high-throughput estimations of cell functionalities caused by gene activity within the pathway. Moreover, such estimations can be obtained either at cohort-level, in case/control comparisons, or personalized for individual patients. The accuracy of the method is demonstrated in an extensive analysis involving 5640 patients from 12 different cancer types. Circuit activity measurements not only have a high diagnostic value but also can be related to relevant disease outcomes such as survival, and can be used to assess therapeutic interventions.

VL - 8 IS - 3 U1 - https://www.ncbi.nlm.nih.gov/pubmed/28042959?dopt=Abstract ER - TY - JOUR T1 - Mutations in TRAPPC11 are associated with a congenital disorder of glycosylation. JF - Hum Mutat Y1 - 2017 A1 - Matalonga, Leslie A1 - Bravo, Miren A1 - Serra-Peinado, Carla A1 - García-Pelegrí, Elisabeth A1 - Ugarteburu, Olatz A1 - Vidal, Silvia A1 - Llambrich, Maria A1 - Quintana, Ester A1 - Fuster-Jorge, Pedro A1 - Gonzalez-Bravo, Maria Nieves A1 - Beltran, Sergi A1 - Dopazo, Joaquin A1 - Garcia-Garcia, Francisco A1 - Foulquier, François A1 - Matthijs, Gert A1 - Mills, Philippa A1 - Ribes, Antonia A1 - Egea, Gustavo A1 - Briones, Paz A1 - Tort, Frederic A1 - Girós, Marisa KW - Abnormalities, Multiple KW - Alleles KW - Amino Acid Substitution KW - Brain KW - Congenital Disorders of Glycosylation KW - Genotype KW - Humans KW - Magnetic Resonance Imaging KW - Male KW - mutation KW - Phenotype KW - Vesicular Transport Proteins KW - Whole Genome Sequencing AB -

Congenital disorders of glycosylation (CDG) are a heterogeneous and rapidly growing group of diseases caused by abnormal glycosylation of proteins and/or lipids. Mutations in genes involved in the homeostasis of the endoplasmic reticulum (ER), the Golgi apparatus (GA), and the vesicular trafficking from the ER to the ER-Golgi intermediate compartment (ERGIC) have been found to be associated with CDG. Here, we report a patient with defects in both N- and O-glycosylation combined with a delayed vesicular transport in the GA due to mutations in TRAPPC11, a subunit of the TRAPPIII complex. TRAPPIII is implicated in the anterograde transport from the ER to the ERGIC as well as in the vesicle export from the GA. This report expands the spectrum of genetic alterations associated with CDG, providing new insights for the diagnosis and the understanding of the physiopathological mechanisms underlying glycosylation disorders.

VL - 38 IS - 2 U1 - https://www.ncbi.nlm.nih.gov/pubmed/27862579?dopt=Abstract ER - TY - JOUR T1 - Whole exome sequencing coupled with unbiased functional analysis reveals new Hirschsprung disease genes. JF - Genome biology Y1 - 2017 A1 - Gui, Hongsheng A1 - Schriemer, Duco A1 - Cheng, William W A1 - Chauhan, Rajendra K A1 - Antiňolo, Guillermo A1 - Berrios, Courtney A1 - Bleda, Marta A1 - Brooks, Alice S A1 - Brouwer, Rutger W W A1 - Burns, Alan J A1 - Cherny, Stacey S A1 - Dopazo, Joaquin A1 - Eggen, Bart J L A1 - Griseri, Paola A1 - Jalloh, Binta A1 - Le, Thuy-Linh A1 - Lui, Vincent C H A1 - Luzón-Toro, Berta A1 - Matera, Ivana A1 - Ngan, Elly S W A1 - Pelet, Anna A1 - Ruiz-Ferrer, Macarena A1 - Sham, Pak C A1 - Shepherd, Iain T A1 - So, Man-Ting A1 - Sribudiani, Yunia A1 - Tang, Clara S M A1 - van den Hout, Mirjam C G N A1 - van der Linde, Herma C A1 - van Ham, Tjakko J A1 - van IJcken, Wilfred F J A1 - Verheij, Joke B G M A1 - Amiel, Jeanne A1 - Borrego, Salud A1 - Ceccherini, Isabella A1 - Chakravarti, Aravinda A1 - Lyonnet, Stanislas A1 - Tam, Paul K H A1 - Garcia-Barceló, Maria-Mercè A1 - Hofstra, Robert Mw KW - Hirschprung KW - Rare Disease KW - WES AB - BACKGROUND: Hirschsprung disease (HSCR), which is congenital obstruction of the bowel, results from a failure of enteric nervous system (ENS) progenitors to migrate, proliferate, differentiate, or survive within the distal intestine. Previous studies that have searched for genes underlying HSCR have focused on ENS-related pathways and genes not fitting the current knowledge have thus often been ignored. We identify and validate novel HSCR genes using whole exome sequencing (WES), burden tests, in silico prediction, unbiased in vivo analyses of the mutated genes in zebrafish, and expression analyses in zebrafish, mouse, and human. RESULTS: We performed de novo mutation (DNM) screening on 24 HSCR trios. We identify 28 DNMs in 21 different genes. Eight of the DNMs we identified occur in RET, the main HSCR gene, and the remaining 20 DNMs reside in genes not reported in the ENS. Knockdown of all 12 genes with missense or loss-of-function DNMs showed that the orthologs of four genes (DENND3, NCLN, NUP98, and TBATA) are indispensable for ENS development in zebrafish, and these results were confirmed by CRISPR knockout. These genes are also expressed in human and mouse gut and/or ENS progenitors. Importantly, the encoded proteins are linked to neuronal processes shared by the central nervous system and the ENS. CONCLUSIONS: Our data open new fields of investigation into HSCR pathology and provide novel insights into the development of the ENS. Moreover, the study demonstrates that functional analyses of genes carrying DNMs are warranted to delineate the full genetic architecture of rare complex diseases. VL - 18 UR - http://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1174-6 ER - TY - JOUR T1 - Whole exome sequencing coupled with unbiased functional analysis reveals new Hirschsprung disease genes JF - Genome Biology Y1 - 2017 A1 - Gui, Hongsheng A1 - Schriemer, Duco A1 - Cheng, William W. A1 - Chauhan, Rajendra K. A1 - Antiňolo, Guillermo A1 - Berrios, Courtney A1 - Bleda, Marta A1 - Brooks, Alice S. A1 - Brouwer, Rutger W. W. A1 - Burns, Alan J. A1 - Cherny, Stacey S. A1 - Dopazo, Joaquin A1 - Eggen, Bart J. L. A1 - Griseri, Paola A1 - Jalloh, Binta A1 - Le, Thuy-Linh A1 - Lui, Vincent C. H. A1 - Luzón-Toro, Berta A1 - Matera, Ivana A1 - Ngan, Elly S. W. A1 - Pelet, Anna A1 - Ruiz-Ferrer, Macarena A1 - Sham, Pak C. A1 - Shepherd, Iain T. A1 - So, Man-Ting A1 - Sribudiani, Yunia A1 - Tang, Clara S. M. A1 - van den Hout, Mirjam C. G. N. A1 - van der Linde, Herma C. A1 - van Ham, Tjakko J. A1 - van IJcken, Wilfred F. J. A1 - Verheij, Joke B. G. M. A1 - Amiel, Jeanne A1 - Borrego, Salud A1 - Ceccherini, Isabella A1 - Chakravarti, Aravinda A1 - Lyonnet, Stanislas A1 - Tam, Paul K. H. A1 - Garcia-Barceló, Maria-Mercè A1 - Hofstra, Robert M. W. VL - 18 UR - http://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1174-6http://link.springer.com/content/pdf/10.1186/s13059-017-1174-6.pdf IS - 1 JO - Genome Biol ER - TY - JOUR T1 - 267 Spanish exomes reveal population-specific differences in disease-related genetic variation. JF - Molecular biology and evolution Y1 - 2016 A1 - Joaquín Dopazo A1 - Amadoz, Alicia A1 - Bleda, Marta A1 - García-Alonso, Luz A1 - Alemán, Alejandro A1 - Garcia-Garcia, Francisco A1 - Rodriguez, Juan A A1 - Daub, Josephine T A1 - Muntané, Gerard A1 - Antonio Rueda A1 - Vela-Boza, Alicia A1 - López-Domingo, Francisco J A1 - Florido, Javier P A1 - Arce, Pablo A1 - Ruiz-Ferrer, Macarena A1 - Méndez-Vidal, Cristina A1 - Arnold, Todd E A1 - Spleiss, Olivia A1 - Alvarez-Tejado, Miguel A1 - Navarro, Arcadi A1 - Bhattacharya, Shomi S A1 - Borrego, Salud A1 - Santoyo-López, Javier A1 - Antiňolo, Guillermo KW - disease KW - NGS KW - polymorphisms KW - Population genomics KW - prioritization KW - SNP AB - Recent results from large-scale genomic projects suggest that allele frequencies, which are highly relevant for medical purposes, differ considerably across different populations. The need for a detailed catalogue of local variability motivated the whole exome sequencing of 267 unrelated individuals, representative of the healthy Spanish population. Like in other studies, a considerable number of rare variants were found (almost one third of the described variants). There were also relevant differences in allelic frequencies in polymorphic variants, including about 10,000 polymorphisms private to the Spanish population. The allelic frequencies of variants conferring susceptibility to complex diseases (including cancer, schizophrenia, Alzheimer disease, type 2 diabetes and other pathologies) were overall similar to those of other populations. However, the trend is the opposite for variants linked to Mendelian and rare diseases (including several retinal degenerative dystrophies and cardiomyopathies) that show marked frequency differences between populations. Interestingly, a correspondence between differences in allelic frequencies and disease prevalence was found, highlighting the relevance of frequency differences in disease risk. These differences are also observed in variants that disrupt known drug binding sites, suggesting an important role for local variability in population-specific drug resistances or adverse effects. We have made the Spanish population variant server web page that contains population frequency information for the complete list of 170,888 variant positions we found publicly available (http://spv.babelomics.org/), We show that it if fundamental to determine population-specific variant frequencies in order to distinguish real disease associations from population-specific polymorphisms. UR - https://mbe.oxfordjournals.org/content/early/2016/02/17/molbev.msw005.full ER - TY - JOUR T1 - Actionable pathways: interactive discovery of therapeutic targets using signaling pathway models. JF - Nucleic acids research Y1 - 2016 A1 - Salavert, Francisco A1 - Hidago, Marta R A1 - Amadoz, Alicia A1 - Cubuk, Cankut A1 - Medina, Ignacio A1 - Crespo, Daniel A1 - Carbonell-Caballero, José A1 - Joaquín Dopazo KW - actionable genes KW - Disease mechanism KW - drug action mechanism KW - Drug discovery KW - pathway analysis KW - personalized medicine KW - signalling KW - therapeutic targets AB - The discovery of actionable targets is crucial for targeted therapies and is also a constituent part of the drug discovery process. The success of an intervention over a target depends critically on its contribution, within the complex network of gene interactions, to the cellular processes responsible for disease progression or therapeutic response. Here we present PathAct, a web server that predicts the effect that interventions over genes (inhibitions or activations that simulate knock-outs, drug treatments or over-expressions) can have over signal transmission within signaling pathways and, ultimately, over the cell functionalities triggered by them. PathAct implements an advanced graphical interface that provides a unique interactive working environment in which the suitability of potentially actionable genes, that could eventually become drug targets for personalized or individualized therapies, can be easily tested. The PathAct tool can be found at: http://pathact.babelomics.org. UR - http://nar.oxfordjournals.org/content/early/2016/05/02/nar.gkw369.full ER - TY - JOUR T1 - Assessment of Targeted Next-Generation Sequencing as a Tool for the Diagnosis of Charcot-Marie-Tooth Disease and Hereditary Motor Neuropathy. JF - The Journal of molecular diagnostics : JMD Y1 - 2016 A1 - Lupo, Vincenzo A1 - Garcia-Garcia, Francisco A1 - Sancho, Paula A1 - Tello, Cristina A1 - García-Romero, Mar A1 - Villarreal, Liliana A1 - Alberti, Antonia A1 - Sivera, Rafael A1 - Joaquín Dopazo A1 - Pascual-Pascual, Samuel I A1 - Márquez-Infante, Celedonio A1 - Casasnovas, Carlos A1 - Sevilla, Teresa A1 - Espinós, Carmen KW - Charcot-Marie-Tooth KW - CMT KW - Diagnostic KW - NGS KW - Panels KW - rare diseases KW - Targeted resequencing AB - Charcot-Marie-Tooth disease is characterized by broad genetic heterogeneity with >50 known disease-associated genes. Mutations in some of these genes can cause a pure motor form of hereditary motor neuropathy, the genetics of which are poorly characterized. We designed a panel comprising 56 genes associated with Charcot-Marie-Tooth disease/hereditary motor neuropathy. We validated this diagnostic tool by first testing 11 patients with pathological mutations. A cohort of 33 affected subjects was selected for this study. The DNAJB2 c.352+1G>A mutation was detected in two cases; novel changes and/or variants with low frequency (<1%) were found in 12 cases. There were no candidate variants in 18 cases, and amplification failed for one sample. The DNAJB2 c.352+1G>A mutation was also detected in three additional families. On haplotype analysis, all of the patients from these five families shared the same haplotype; therefore, the DNAJB2 c.352+1G>A mutation may be a founder event. Our gene panel allowed us to perform a very rapid and cost-effective screening of genes involved in Charcot-Marie-Tooth disease/hereditary motor neuropathy. Our diagnostic strategy was robust in terms of both coverage and read depth for all of the genes and patient samples. These findings demonstrate the difficulty in achieving a definitive molecular diagnosis because of the complexity of interpreting new variants and the genetic heterogeneity that is associated with these neuropathies. UR - http://www.sciencedirect.com/science/article/pii/S1525157815002615 ER - TY - JOUR T1 - Chronic subordination stress selectively downregulates the insulin signaling pathway in liver and skeletal muscle but not in adipose tissue of male mice. JF - Stress (Amsterdam, Netherlands) Y1 - 2016 A1 - Sanghez, Valentina A1 - Cubuk, Cankut A1 - Sebastián-Leon, Patricia A1 - Carobbio, Stefania A1 - Dopazo, Joaquin A1 - Vidal-Puig, Antonio A1 - Bartolomucci, Alessandro KW - Adipose tissue KW - insulin KW - IRS1 KW - IRS2 KW - metabolic syndrome KW - obesity KW - pathway analysis AB - Chronic stress has been associated with obesity, glucose intolerance, and insulin resistance. We developed a model of chronic psychosocial stress (CPS) in which subordinate mice are vulnerable to obesity and the metabolic-like syndrome while dominant mice exhibit a healthy metabolic phenotype. Here we tested the hypothesis that the metabolic difference between subordinate and dominant mice is associated with changes in functional pathways relevant for insulin sensitivity, glucose and lipid homeostasis. Male mice were exposed to CPS for four weeks and fed either a standard diet or a high-fat diet (HFD). We first measured, by real-time PCR candidate genes, in the liver, skeletal muscle, and the perigonadal white adipose tissue (pWAT). Subsequently, we used a probabilistic analysis approach to analyze different ways in which signals can be transmitted across the pathways in each tissue. Results showed that subordinate mice displayed a drastic downregulation of the insulin pathway in liver and muscle, indicative of insulin resistance, already on standard diet. Conversely, pWAT showed molecular changes suggestive of facilitated fat deposition in an otherwise insulin-sensitive tissue. The molecular changes in subordinate mice fed a standard diet were greater compared to HFD-fed controls. Finally, dominant mice maintained a substantially normal metabolic and molecular phenotype even when fed a HFD. Overall, our data demonstrate that subordination stress is a potent stimulus for the downregulation of the insulin signaling pathway in liver and muscle and a major risk factor for the development of obesity, insulin resistance, and type 2 diabetes mellitus. UR - http://www.tandfonline.com/doi/abs/10.3109/10253890.2016.1151491?journalCode=ists20 ER - TY - JOUR T1 - Dysfunctional mitochondrial fission impairs cell reprogramming. JF - Cell Cycle Y1 - 2016 A1 - Prieto, Javier A1 - León, Marian A1 - Ponsoda, Xavier A1 - Garcia-Garcia, Francisco A1 - Bort, Roque A1 - Serna, Eva A1 - Barneo-Muñoz, Manuela A1 - Palau, Francesc A1 - Dopazo, Joaquin A1 - López-García, Carlos A1 - Torres, Josema KW - Animals KW - Cell Cycle Checkpoints KW - Cellular Reprogramming KW - DNA Damage KW - G2 Phase KW - Gene Knockdown Techniques KW - Mice KW - Mitochondrial Dynamics KW - Mitosis KW - Nerve Tissue Proteins KW - Pluripotent Stem Cells KW - Transcription Factors AB -

We have recently shown that mitochondrial fission is induced early in reprogramming in a Drp1-dependent manner; however, the identity of the factors controlling Drp1 recruitment to mitochondria was unexplored. To investigate this, we used a panel of RNAi targeting factors involved in the regulation of mitochondrial dynamics and we observed that MiD51, Gdap1 and, to a lesser extent, Mff were found to play key roles in this process. Cells derived from Gdap1-null mice were used to further explore the role of this factor in cell reprogramming. Microarray data revealed a prominent down-regulation of cell cycle pathways in Gdap1-null cells early in reprogramming and cell cycle profiling uncovered a G2/M growth arrest in Gdap1-null cells undergoing reprogramming. High-Content analysis showed that this growth arrest was DNA damage-independent. We propose that lack of efficient mitochondrial fission impairs cell reprogramming by interfering with cell cycle progression in a DNA damage-independent manner.

VL - 15 IS - 23 U1 - https://www.ncbi.nlm.nih.gov/pubmed/27753531?dopt=Abstract ER - TY - JOUR T1 - Extension of human lncRNA transcripts by RACE coupled with long-read high-throughput sequencing (RACE-Seq). JF - Nature communications Y1 - 2016 A1 - Lagarde, Julien A1 - Uszczynska-Ratajczak, Barbara A1 - Santoyo-López, Javier A1 - Gonzalez, Jose Manuel A1 - Tapanari, Electra A1 - Mudge, Jonathan M A1 - Steward, Charles A A1 - Wilming, Laurens A1 - Tanzer, Andrea A1 - Howald, Cédric A1 - Chrast, Jacqueline A1 - Vela-Boza, Alicia A1 - Antonio Rueda A1 - López-Domingo, Francisco J A1 - Dopazo, Joaquin A1 - Reymond, Alexandre A1 - Guigó, Roderic A1 - Harrow, Jennifer AB - Long non-coding RNAs (lncRNAs) constitute a large, yet mostly uncharacterized fraction of the mammalian transcriptome. Such characterization requires a comprehensive, high-quality annotation of their gene structure and boundaries, which is currently lacking. Here we describe RACE-Seq, an experimental workflow designed to address this based on RACE (rapid amplification of cDNA ends) and long-read RNA sequencing. We apply RACE-Seq to 398 human lncRNA genes in seven tissues, leading to the discovery of 2,556 on-target, novel transcripts. About 60% of the targeted loci are extended in either 5’ or 3’, often reaching genomic hallmarks of gene boundaries. Analysis of the novel transcripts suggests that lncRNAs are as long, have as many exons and undergo as much alternative splicing as protein-coding genes, contrary to current assumptions. Overall, we show that RACE-Seq is an effective tool to annotate an organism’s deep transcriptome, and compares favourably to other targeted sequencing techniques. VL - 7 UR - http://www.nature.com/articles/ncomms12339 ER - TY - JOUR T1 - Extension of human lncRNA transcripts by RACE coupled with long-read high-throughput sequencing (RACE-Seq) JF - Nature Communications Y1 - 2016 A1 - Lagarde, Julien A1 - Uszczynska-Ratajczak, Barbara A1 - Santoyo-López, Javier A1 - Gonzalez, Jose Manuel A1 - Tapanari, Electra A1 - Mudge, Jonathan M. A1 - Steward, Charles A. A1 - Wilming, Laurens A1 - Tanzer, Andrea A1 - Howald, Cédric A1 - Chrast, Jacqueline A1 - Vela-Boza, Alicia A1 - Rueda, Antonio A1 - Lopez-Domingo, Francisco J. A1 - Dopazo, Joaquin A1 - Reymond, Alexandre A1 - Guigó, Roderic A1 - Harrow, Jennifer VL - 7 UR - http://www.nature.com/articles/ncomms12339http://www.nature.com/articles/ncomms12339.pdfhttp://www.nature.com/articles/ncomms12339.pdfhttp://www.nature.com/articles/ncomms12339 IS - 1 JO - Nat Commun ER - TY - JOUR T1 - Highly sensitive and ultrafast read mapping for RNA-seq analysis. JF - DNA Res Y1 - 2016 A1 - Medina, I A1 - Tárraga, J A1 - Martínez, H A1 - Barrachina, S A1 - Castillo, M I A1 - Paschall, J A1 - Salavert-Torres, J A1 - Blanquer-Espert, I A1 - Hernández-García, V A1 - Quintana-Ortí, E S A1 - Dopazo, J KW - Genomics KW - High-Throughput Nucleotide Sequencing KW - Humans KW - Sensitivity and Specificity KW - Sequence Analysis, RNA KW - Transcriptome AB -

As sequencing technologies progress, the amount of data produced grows exponentially, shifting the bottleneck of discovery towards the data analysis phase. In particular, currently available mapping solutions for RNA-seq leave room for improvement in terms of sensitivity and performance, hindering an efficient analysis of transcriptomes by massive sequencing. Here, we present an innovative approach that combines re-engineering, optimization and parallelization. This solution results in a significant increase of mapping sensitivity over a wide range of read lengths and substantial shorter runtimes when compared with current RNA-seq mapping methods available.

VL - 23 IS - 2 U1 - https://www.ncbi.nlm.nih.gov/pubmed/26740642?dopt=Abstract ER - TY - JOUR T1 - Human DNA methylomes of neurodegenerative diseases show common epigenomic patterns. JF - Transl Psychiatry Y1 - 2016 A1 - Sanchez-Mut, J V A1 - Heyn, H A1 - Vidal, E A1 - Moran, S A1 - Sayols, S A1 - Delgado-Morales, R A1 - Schultz, M D A1 - Ansoleaga, B A1 - Garcia-Esparcia, P A1 - Pons-Espinal, M A1 - de Lagran, M M A1 - Dopazo, J A1 - Rabano, A A1 - Avila, J A1 - Dierssen, M A1 - Lott, I A1 - Ferrer, I A1 - Ecker, J R A1 - Esteller, M KW - Adult KW - Aged KW - Aged, 80 and over KW - DNA Methylation KW - Epigenomics KW - Female KW - Humans KW - Male KW - Middle Aged KW - neurodegenerative diseases KW - Prefrontal Cortex KW - Tissue Array Analysis AB -

Different neurodegenerative disorders often show similar lesions, such as the presence of amyloid plaques, TAU-neurotangles and synuclein inclusions. The genetically inherited forms are rare, so we wondered whether shared epigenetic aberrations, such as those affecting DNA methylation, might also exist. The studied samples were gray matter samples from the prefrontal cortex of control and neurodegenerative disease-associated cases. We performed the DNA methylation analyses of Alzheimer's disease, dementia with Lewy bodies, Parkinson's disease and Alzheimer-like neurodegenerative profile associated with Down's syndrome samples. The DNA methylation landscapes obtained show that neurodegenerative diseases share similar aberrant CpG methylation shifts targeting a defined gene set. Our findings suggest that neurodegenerative disorders might have similar pathogenetic mechanisms that subsequently evolve into different clinical entities. The identified aberrant DNA methylation changes can be used as biomarkers of the disorders and as potential new targets for the development of new therapies.

VL - 6 U1 - https://www.ncbi.nlm.nih.gov/pubmed/26784972?dopt=Abstract ER - TY - JOUR T1 - Identification of the Photoreceptor Transcriptional Co-Repressor SAMD11 as Novel Cause of Autosomal Recessive Retinitis Pigmentosa. JF - Sci Rep Y1 - 2016 A1 - Corton, M A1 - Avila-Fernández, A A1 - Campello, L A1 - Sánchez, M A1 - Benavides, B A1 - López-Molina, M I A1 - Fernández-Sánchez, L A1 - Sánchez-Alcudia, R A1 - da Silva, L R J A1 - Reyes, N A1 - Martín-Garrido, E A1 - Zurita, O A1 - Fernández-San José, P A1 - Pérez-Carro, R A1 - García-García, F A1 - Dopazo, J A1 - García-Sandoval, B A1 - Cuenca, N A1 - Ayuso, C KW - Aged KW - Animals KW - Co-Repressor Proteins KW - Codon, Nonsense KW - Cohort Studies KW - Comparative Genomic Hybridization KW - Consanguinity KW - DNA Mutational Analysis KW - Exome KW - Eye Proteins KW - Female KW - Gene Expression Regulation KW - Genes, Recessive KW - Homeodomain Proteins KW - Homozygote KW - Humans KW - Male KW - Mice KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Protein Interaction Mapping KW - Retina KW - Retinal Dystrophies KW - Retinal Rod Photoreceptor Cells KW - Retinitis pigmentosa KW - Spain KW - Trans-Activators KW - Transcription Factors AB -

Retinitis pigmentosa (RP), the most frequent form of inherited retinal dystrophy is characterized by progressive photoreceptor degeneration. Many genes have been implicated in RP development, but several others remain to be identified. Using a combination of homozygosity mapping, whole-exome and targeted next-generation sequencing, we found a novel homozygous nonsense mutation in SAMD11 in five individuals diagnosed with adult-onset RP from two unrelated consanguineous Spanish families. SAMD11 is ortholog to the mouse major retinal SAM domain (mr-s) protein that is implicated in CRX-mediated transcriptional regulation in the retina. Accordingly, protein-protein network analysis revealed a significant interaction of SAMD11 with CRX. Immunoblotting analysis confirmed strong expression of SAMD11 in human retina. Immunolocalization studies revealed SAMD11 was detected in the three nuclear layers of the human retina and interestingly differential expression between cone and rod photoreceptors was observed. Our study strongly implicates SAMD11 as novel cause of RP playing an important role in the pathogenesis of human degeneration of photoreceptors.

VL - 6 U1 - https://www.ncbi.nlm.nih.gov/pubmed/27734943?dopt=Abstract ER - TY - JOUR T1 - The Mutational Landscape of Acute Promyelocytic Leukemia Reveals an Interacting Network of Co-Occurrences and Recurrent Mutations. JF - PLoS One Y1 - 2016 A1 - Ibáñez, Mariam A1 - Carbonell-Caballero, José A1 - García-Alonso, Luz A1 - Such, Esperanza A1 - Jiménez-Almazán, Jorge A1 - Vidal, Enrique A1 - Barragán, Eva A1 - López-Pavía, María A1 - LLop, Marta A1 - Martín, Iván A1 - Gómez-Seguí, Inés A1 - Montesinos, Pau A1 - Sanz, Miguel A A1 - Dopazo, Joaquin A1 - Cervera, José KW - Exome KW - Gene Regulatory Networks KW - Genome, Human KW - Humans KW - INDEL Mutation KW - Leukemia, Promyelocytic, Acute KW - mutation KW - Mutation Rate KW - Polymorphism, Single Nucleotide KW - Reproducibility of Results AB -

Preliminary Acute Promyelocytic Leukemia (APL) whole exome sequencing (WES) studies have identified a huge number of somatic mutations affecting more than a hundred different genes mainly in a non-recurrent manner, suggesting that APL is a heterogeneous disease with secondary relevant changes not yet defined. To extend our knowledge of subtle genetic alterations involved in APL that might cooperate with PML/RARA in the leukemogenic process, we performed a comprehensive analysis of somatic mutations in APL combining WES with sequencing of a custom panel of targeted genes by next-generation sequencing. To select a reduced subset of high confidence candidate driver genes, further in silico analysis were carried out. After prioritization and network analysis we found recurrent deleterious mutations in 8 individual genes (STAG2, U2AF1, SMC1A, USP9X, IKZF1, LYN, MYCBP2 and PTPN11) with a strong potential of being involved in APL pathogenesis. Our network analysis of multiple mutations provides a reliable approach to prioritize genes for additional analysis, improving our knowledge of the leukemogenesis interactome. Additionally, we have defined a functional module in the interactome of APL. The hypothesis is that the number, or the specific combinations, of mutations harbored in each patient might not be as important as the disturbance caused in biological key functions, triggered by several not necessarily recurrent mutations.

VL - 11 IS - 2 U1 - https://www.ncbi.nlm.nih.gov/pubmed/26886259?dopt=Abstract ER - TY - JOUR T1 - Mutations in the MORC2 gene cause axonal Charcot-Marie-Tooth disease. JF - Brain Y1 - 2016 A1 - Sevilla, Teresa A1 - Lupo, Vincenzo A1 - Martínez-Rubio, Dolores A1 - Sancho, Paula A1 - Sivera, Rafael A1 - Chumillas, María J A1 - García-Romero, Mar A1 - Pascual-Pascual, Samuel I A1 - Muelas, Nuria A1 - Dopazo, Joaquin A1 - Vílchez, Juan J A1 - Palau, Francesc A1 - Espinós, Carmen KW - Adult KW - Aged KW - Animals KW - Axons KW - Charcot-Marie-Tooth Disease KW - Female KW - gene expression KW - Humans KW - Infant KW - Male KW - Mice KW - Middle Aged KW - mutation KW - Pedigree KW - Phenotype KW - Sciatic Nerve KW - Sural Nerve KW - Transcription Factors KW - Young Adult AB -

Charcot-Marie-Tooth disease (CMT) is a complex disorder with wide genetic heterogeneity. Here we present a new axonal Charcot-Marie-Tooth disease form, associated with the gene microrchidia family CW-type zinc finger 2 (MORC2). Whole-exome sequencing in a family with autosomal dominant segregation identified the novel MORC2 p.R190W change in four patients. Further mutational screening in our axonal Charcot-Marie-Tooth disease clinical series detected two additional sporadic cases, one patient who also carried the same MORC2 p.R190W mutation and another patient that harboured a MORC2 p.S25L mutation. Genetic and in silico studies strongly supported the pathogenicity of these sequence variants. The phenotype was variable and included patients with congenital or infantile onset, as well as others whose symptoms started in the second decade. The patients with early onset developed a spinal muscular atrophy-like picture, whereas in the later onset cases, the initial symptoms were cramps, distal weakness and sensory impairment. Weakness and atrophy progressed in a random and asymmetric fashion and involved limb girdle muscles, leading to a severe incapacity in adulthood. Sensory loss was always prominent and proportional to disease severity. Electrophysiological studies were consistent with an asymmetric axonal motor and sensory neuropathy, while fasciculations and myokymia were recorded rather frequently by needle electromyography. Sural nerve biopsy revealed pronounced multifocal depletion of myelinated fibres with some regenerative clusters and occasional small onion bulbs. Morc2 is expressed in both axons and Schwann cells of mouse peripheral nerve. Different roles in biological processes have been described for MORC2. As the silencing of Charcot-Marie-Tooth disease genes have been associated with DNA damage response, it is tempting to speculate that a deregulation of this pathway may be linked to the axonal degeneration observed in MORC2 neuropathy, thus adding a new pathogenic mechanism to the long list of causes of Charcot-Marie-Tooth disease.

VL - 139 IS - Pt 1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/26497905?dopt=Abstract ER - TY - JOUR T1 - Progress in pharmacogenetics: consortiums and new strategies. JF - Drug Metab Pers Ther Y1 - 2016 A1 - Maroñas, Olalla A1 - Latorre, Ana A1 - Dopazo, Joaquin A1 - Pirmohamed, Munir A1 - Rodríguez-Antona, Cristina A1 - Siest, Gérard A1 - Carracedo, Ángel A1 - LLerena, Adrián KW - Cooperative Behavior KW - Genome-Wide Association Study KW - High-Throughput Screening Assays KW - Humans KW - Patient Care Team KW - pharmacogenetics KW - Polymorphism, Single Nucleotide KW - Precision Medicine AB -

Pharmacogenetics (PGx), as a field dedicated to achieving the goal of personalized medicine (PM), is devoted to the study of genes involved in inter-individual response to drugs. Due to its nature, PGx requires access to large samples; therefore, in order to progress, the formation of collaborative consortia seems to be crucial. Some examples of this collective effort are the European Society of Pharmacogenomics and personalized Therapy and the Ibero-American network of Pharmacogenetics. As an emerging field, one of the major challenges that PGx faces is translating their discoveries from research bench to bedside. The development of genomic high-throughput technologies is generating a revolution and offers the possibility of producing vast amounts of genome-wide single nucleotide polymorphisms for each patient. Moreover, there is a need of identifying and replicating associations of new biomarkers, and, in addition, a greater effort must be invested in developing regulatory organizations to accomplish a correct standardization. In this review, we outline the current progress in PGx using examples to highlight both the importance of polymorphisms and the research strategies for their detection. These concepts need to be applied together with a proper dissemination of knowledge to improve clinician and patient understanding, in a multidisciplinary team-based approach.

VL - 31 IS - 1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/26913460?dopt=Abstract ER - TY - JOUR T1 - Web-based network analysis and visualization using CellMaps. JF - Bioinformatics Y1 - 2016 A1 - Salavert, Francisco A1 - García-Alonso, Luz A1 - Sánchez, Rubén A1 - Alonso, Roberto A1 - Bleda, Marta A1 - Medina, Ignacio A1 - Dopazo, Joaquin KW - Biochemical Phenomena KW - Internet KW - Software AB -

UNLABELLED: : CellMaps is an HTML5 open-source web tool that allows displaying, editing, exploring and analyzing biological networks as well as integrating metadata into them. Computations and analyses are remotely executed in high-end servers, and all the functionalities are available through RESTful web services. CellMaps can easily be integrated in any web page by using an available JavaScript API.

AVAILABILITY AND IMPLEMENTATION: The application is available at: http://cellmaps.babelomics.org/ and the code can be found in: https://github.com/opencb/cell-maps The client is implemented in JavaScript and the server in C and Java.

CONTACT: jdopazo@cipf.es

SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

VL - 32 IS - 19 U1 - https://www.ncbi.nlm.nih.gov/pubmed/27296979?dopt=Abstract ER - TY - JOUR T1 - Whole exome sequencing of Rett syndrome-like patients reveals the mutational diversity of the clinical phenotype. JF - Hum Genet Y1 - 2016 A1 - Lucariello, Mario A1 - Vidal, Enrique A1 - Vidal, Silvia A1 - Saez, Mauricio A1 - Roa, Laura A1 - Huertas, Dori A1 - Pineda, Mercè A1 - Dalfó, Esther A1 - Dopazo, Joaquin A1 - Jurado, Paola A1 - Armstrong, Judith A1 - Esteller, Manel KW - Adolescent KW - Adult KW - Animals KW - Caenorhabditis elegans KW - Carrier Proteins KW - Cell Cycle Proteins KW - Child KW - Child, Preschool KW - DNA Mutational Analysis KW - Exome KW - Female KW - Forkhead Transcription Factors KW - Genetic Variation KW - High-Throughput Nucleotide Sequencing KW - Humans KW - Methyl-CpG-Binding Protein 2 KW - mutation KW - Nerve Tissue Proteins KW - Protein Serine-Threonine Kinases KW - Receptors, Nicotinic KW - Rett Syndrome AB -

Classical Rett syndrome (RTT) is a neurodevelopmental disorder where most of cases carry MECP2 mutations. Atypical RTT variants involve mutations in CDKL5 and FOXG1. However, a subset of RTT patients remains that do not carry any mutation in the described genes. Whole exome sequencing was carried out in a cohort of 21 female probands with clinical features overlapping with those of RTT, but without mutations in the customarily studied genes. Candidates were functionally validated by assessing the appearance of a neurological phenotype in Caenorhabditis elegans upon disruption of the corresponding ortholog gene. We detected pathogenic variants that accounted for the RTT-like phenotype in 14 (66.6 %) patients. Five patients were carriers of mutations in genes already known to be associated with other syndromic neurodevelopmental disorders. We determined that the other patients harbored mutations in genes that have not previously been linked to RTT or other neurodevelopmental syndromes, such as the ankyrin repeat containing protein ANKRD31 or the neuronal acetylcholine receptor subunit alpha-5 (CHRNA5). Furthermore, worm assays demonstrated that mutations in the studied candidate genes caused locomotion defects. Our findings indicate that mutations in a variety of genes contribute to the development of RTT-like phenotypes.

VL - 135 IS - 12 U1 - https://www.ncbi.nlm.nih.gov/pubmed/27541642?dopt=Abstract ER - TY - JOUR T1 - Assessing the impact of mutations found in next generation sequencing data over human signaling pathways. JF - Nucleic acids research Y1 - 2015 A1 - Hernansaiz-Ballesteros, Rosa D A1 - Salavert, Francisco A1 - Sebastián-Leon, Patricia A1 - Alemán, Alejandro A1 - Medina, Ignacio A1 - Joaquín Dopazo KW - NGS KW - pathways KW - signalling KW - Systems biology AB - Modern sequencing technologies produce increasingly detailed data on genomic variation. However, conventional methods for relating either individual variants or mutated genes to phenotypes present known limitations given the complex, multigenic nature of many diseases or traits. Here we present PATHiVar, a web-based tool that integrates genomic variation data with gene expression tissue information. PATHiVar constitutes a new generation of genomic data analysis methods that allow studying variants found in next generation sequencing experiment in the context of signaling pathways. Simple Boolean models of pathways provide detailed descriptions of the impact of mutations in cell functionality so as, recurrences in functionality failures can easily be related to diseases, even if they are produced by mutations in different genes. Patterns of changes in signal transmission circuits, often unpredictable from individual genes mutated, correspond to patterns of affected functionalities that can be related to complex traits such as disease progression, drug response, etc. PATHiVar is available at: http://pathivar.babelomics.org. VL - 43 UR - http://nar.oxfordjournals.org/content/43/W1/W270 ER - TY - JOUR T1 - Babelomics 5.0: functional interpretation for new generations of genomic data. JF - Nucleic acids research Y1 - 2015 A1 - Alonso, Roberto A1 - Salavert, Francisco A1 - Garcia-Garcia, Francisco A1 - Carbonell-Caballero, José A1 - Bleda, Marta A1 - García-Alonso, Luz A1 - Sanchis-Juan, Alba A1 - Perez-Gil, Daniel A1 - Marin-Garcia, Pablo A1 - Sánchez, Rubén A1 - Cubuk, Cankut A1 - Hidalgo, Marta R A1 - Amadoz, Alicia A1 - Hernansaiz-Ballesteros, Rosa D A1 - Alemán, Alejandro A1 - Tárraga, Joaquín A1 - Montaner, David A1 - Medina, Ignacio A1 - Dopazo, Joaquin KW - babelomics KW - data integration KW - gene set analysis KW - interactome KW - network analysis KW - NGS KW - RNA-seq KW - Systems biology KW - transcriptomics AB - Babelomics has been running for more than one decade offering a user-friendly interface for the functional analysis of gene expression and genomic data. Here we present its fifth release, which includes support for Next Generation Sequencing data including gene expression (RNA-seq), exome or genome resequencing. Babelomics has simplified its interface, being now more intuitive. Improved visualization options, such as a genome viewer as well as an interactive network viewer, have been implemented. New technical enhancements at both, client and server sides, makes the user experience faster and more dynamic. Babelomics offers user-friendly access to a full range of methods that cover: (i) primary data analysis, (ii) a variety of tests for different experimental designs and (iii) different enrichment and network analysis algorithms for the interpretation of the results of such tests in the proper functional context. In addition to the public server, local copies of Babelomics can be downloaded and installed. Babelomics is freely available at: http://www.babelomics.org. VL - 43 UR - http://nar.oxfordjournals.org/content/43/W1/W117 ER - TY - JOUR T1 - Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection. JF - Nature methods Y1 - 2015 A1 - Ewing, Adam D A1 - Houlahan, Kathleen E A1 - Hu, Yin A1 - Ellrott, Kyle A1 - Caloian, Cristian A1 - Yamaguchi, Takafumi N A1 - Bare, J Christopher A1 - P’ng, Christine A1 - Waggott, Daryl A1 - Sabelnykova, Veronica Y A1 - Kellen, Michael R A1 - Norman, Thea C A1 - Haussler, David A1 - Friend, Stephen H A1 - Stolovitzky, Gustavo A1 - Margolin, Adam A A1 - Stuart, Joshua M A1 - Boutros, Paul C ED - ICGC-TCGA DREAM Somatic Mutation Calling Challenge participants ED - Liu Xi ED - Ninad Dewal ED - Yu Fan ED - Wenyi Wang ED - David Wheeler ED - Andreas Wilm ED - Grace Hui Ting ED - Chenhao Li ED - Denis Bertrand ED - Niranjan Nagarajan ED - Qing-Rong Chen ED - Chih-Hao Hsu ED - Ying Hu ED - Chunhua Yan ED - Warren Kibbe ED - Daoud Meerzaman ED - Kristian Cibulskis ED - Mara Rosenberg ED - Louis Bergelson ED - Adam Kiezun ED - Amie Radenbaugh ED - Anne-Sophie Sertier ED - Anthony Ferrari ED - Laurie Tonton ED - Kunal Bhutani ED - Nancy F Hansen ED - Difei Wang ED - Lei Song ED - Zhongwu Lai ED - Liao, Yang ED - Shi, Wei ED - Carbonell-Caballero, José ED - Joaquín Dopazo ED - Cheryl C K Lau ED - Justin Guinney KW - cancer KW - NGS KW - variant calling AB - The detection of somatic mutations from cancer genome sequences is key to understanding the genetic basis of disease progression, patient survival and response to therapy. Benchmarking is needed for tool assessment and improvement but is complicated by a lack of gold standards, by extensive resource requirements and by difficulties in sharing personal genomic information. To resolve these issues, we launched the ICGC-TCGA DREAM Somatic Mutation Calling Challenge, a crowdsourced benchmark of somatic mutation detection algorithms. Here we report the BAMSurgeon tool for simulating cancer genomes and the results of 248 analyses of three in silico tumors created with it. Different algorithms exhibit characteristic error profiles, and, intriguingly, false positives show a trinucleotide profile very similar to one found in human tumors. Although the three simulated tumors differ in sequence contamination (deviation from normal cell sequence) and in subclonality, an ensemble of pipelines outperforms the best individual pipeline in all cases. BAMSurgeon is available at https://github.com/adamewing/bamsurgeon/. UR - http://www.nature.com/nmeth/journal/vaop/ncurrent/full/nmeth.3407.html ER - TY - JOUR T1 - Comparative gene expression study of the vestibular organ of the Igf1 deficient mouse using whole-transcript arrays. JF - Hearing research Y1 - 2015 A1 - Rodríguez-de la Rosa, Lourdes A1 - Sánchez-Calderón, Hortensia A1 - Contreras, Julio A1 - Murillo-Cuesta, Silvia A1 - Falagan, Sandra A1 - Avendaño, Carlos A1 - Joaquín Dopazo A1 - Varela-Nieto, Isabel A1 - Milo, Marta AB - The auditory and vestibular organs form the inner ear and have a common developmental origin. Insulin like growth factor 1 (IGF-1) has a central role in the development of the cochlea and maintenance of hearing. Its deficiency causes sensorineural hearing loss in man and mice. During chicken early development, IGF-1 modulates neurogenesis of the cochleovestibular ganglion but no further studies have been conducted to explore the potential role of IGF-1 in the vestibular system. In this study we have compared the whole transcriptome of the vestibular organ from wild type and Igf1(-/-) mice at different developmental and postnatal times. RNA was prepared from E18.5, P15 and P90 vestibular organs of Igf1(-/-) and Igf1(+/+) mice and the transcriptome analysed in triplicates using Affymetrix® Mouse Gene 1.1 ST Array Plates. These plates are whole-transcript arrays that include probes to measure both messenger (mRNA) and long intergenic non-coding RNA transcripts (lincRNA), with a coverage of over 28 thousand coding transcripts and over 7 thousands non-coding transcripts. Given the complexity of the data we used two different methods VSN-RMA and mmBGX to analyse and compare the data. This is to better evaluate the number of false positives and to quantify uncertainty of low signals. We identified a number of differentially expressed genes that we described using functional analysis and validated using RT-qPCR. The morphology of the vestibular organ did not show differences between genotypes and no evident alterations were observed in the vestibular sensory areas of the null mice. However, well-defined cellular alterations were found in the vestibular neurons with respect their number and size. Although these mice did not show a dramatic vestibular phenotype, we conducted a functional analysis on differentially expressed genes between genotypes and across time. This was with the aim to identify new pathways that are involved in the development of the vestibular organ as well as pathways that maybe affected by the lack of IGF-1 and be associated to the morphological changes of the vestibular neurons that we observed in the Igf1(-/-) mice. UR - http://www.sciencedirect.com/science/article/pii/S0378595515001835 ER - TY - JOUR T1 - The EGR2 gene is involved in axonal Charcot-Marie-Tooth disease. JF - Eur J Neurol Y1 - 2015 A1 - Sevilla, T A1 - Sivera, R A1 - Martínez-Rubio, D A1 - Lupo, V A1 - Chumillas, M J A1 - Calpena, E A1 - Dopazo, J A1 - Vílchez, J J A1 - Palau, F A1 - Espinós, C KW - Adult KW - Aged KW - Aged, 80 and over KW - Axons KW - Charcot-Marie-Tooth Disease KW - Early Growth Response Protein 2 KW - Exome KW - Female KW - Humans KW - Male KW - Middle Aged KW - mutation KW - Pedigree KW - Phenotype KW - Severity of Illness Index KW - Young Adult AB -

BACKGROUND AND PURPOSE: A three-generation family affected by axonal Charcot-Marie-Tooth disease (CMT) was investigated with the aim of discovering genetic defects and to further characterize the phenotype.

METHODS: The clinical, nerve conduction studies and muscle magnetic resonance images of the patients were reviewed. A whole exome sequencing was performed and the changes were investigated by genetic studies, in silico analysis and luciferase reporter assays.

RESULTS: A novel c.1226G>A change (p.R409Q) in the EGR2 gene was identified. Patients presented with a typical, late-onset axonal CMT phenotype with variable severity that was confirmed in the ancillary tests. The in silico studies showed that the residue R409 is an evolutionary conserved amino acid. The p.R409Q mutation, which is predicted as probably damaging, would alter the conformation of the protein slightly and would cause a decrease of gene expression.

CONCLUSIONS: This is the first report of an EGR2 mutation presenting as an axonal CMT phenotype with variable severity. This study broadens the phenotype of the EGR2-related neuropathies and suggests that the genetic testing of patients suffering from axonal CMT should include the EGR2 gene.

VL - 22 IS - 12 U1 - https://www.ncbi.nlm.nih.gov/pubmed/26204789?dopt=Abstract ER - TY - JOUR T1 - Exome sequencing reveals a high genetic heterogeneity on familial Hirschsprung disease JF - Scientific Reports Y1 - 2015 A1 - Luzón-Toro, Berta A1 - Gui, Hongsheng A1 - Ruiz-Ferrer, Macarena A1 - Sze-Man Tang, Clara A1 - Fernández, Raquel M. A1 - Sham, Pak-Chung A1 - Torroglosa, Ana A1 - Kwong-Hang Tam, Paul A1 - Espino-Paisán, Laura A1 - Cherny, Stacey S. A1 - Bleda, Marta A1 - Enguix-Riego, María Del Valle A1 - Dopazo, Joaquin A1 - Antiňolo, Guillermo A1 - Garcia-Barceló, Maria-Mercè A1 - Borrego, Salud VL - 5 UR - http://www.nature.com/articles/srep16473http://www.nature.com/articles/srep16473.pdfhttp://www.nature.com/articles/srep16473.pdfhttp://www.nature.com/articles/srep16473 IS - 1 JO - Sci Rep ER - TY - JOUR T1 - Exome sequencing reveals a high genetic heterogeneity on familial Hirschsprung disease. JF - Scientific reports Y1 - 2015 A1 - Luzón-Toro, Berta A1 - Gui, Hongsheng A1 - Ruiz-Ferrer, Macarena A1 - Sze-Man Tang, Clara A1 - Fernández, Raquel M A1 - Sham, Pak-Chung A1 - Torroglosa, Ana A1 - Kwong-Hang Tam, Paul A1 - Espino-Paisán, Laura A1 - Cherny, Stacey S A1 - Bleda, Marta A1 - Enguix-Riego, María Del Valle A1 - Joaquín Dopazo A1 - Antiňolo, Guillermo A1 - Garcia-Barceló, Maria-Mercè A1 - Borrego, Salud KW - babelomics KW - Hirschprung KW - NGS KW - prioritization AB - Hirschsprung disease (HSCR; OMIM 142623) is a developmental disorder characterized by aganglionosis along variable lengths of the distal gastrointestinal tract, which results in intestinal obstruction. Interactions among known HSCR genes and/or unknown disease susceptibility loci lead to variable severity of phenotype. Neither linkage nor genome-wide association studies have efficiently contributed to completely dissect the genetic pathways underlying this complex genetic disorder. We have performed whole exome sequencing of 16 HSCR patients from 8 unrelated families with SOLID platform. Variants shared by affected relatives were validated by Sanger sequencing. We searched for genes recurrently mutated across families. Only variations in the FAT3 gene were significantly enriched in five families. Within-family analysis identified compound heterozygotes for AHNAK and several genes (N = 23) with heterozygous variants that co-segregated with the phenotype. Network and pathway analyses facilitated the discovery of polygenic inheritance involving FAT3, HSCR known genes and their gene partners. Altogether, our approach has facilitated the detection of more than one damaging variant in biologically plausible genes that could jointly contribute to the phenotype. Our data may contribute to the understanding of the complex interactions that occur during enteric nervous system development and the etiopathology of familial HSCR. VL - 5 UR - http://www.nature.com/articles/srep16473 ER - TY - JOUR T1 - Family-based genome-wide association study in Patagonia confirms the association of the DMD locus and cleft lip and palate. JF - Eur J Oral Sci Y1 - 2015 A1 - Fonseca, Renata F A1 - de Carvalho, Flávia M A1 - Poletta, Fernando A A1 - Montaner, David A1 - Dopazo, Joaquin A1 - Mereb, Juan C A1 - Moreira, Miguel A M A1 - Seuanez, Hector N A1 - Vieira, Alexandre R A1 - Castilla, Eduardo E A1 - Orioli, Iêda M AB -

The etiology of cleft lip with or without cleft palate (CL±P) is complex and heterogeneous, and multiple genetic and environmental factors are involved. Some candidate genes reported to be associated with oral clefts are located on the X chromosome. At least three genes causing X-linked syndromes [midline 1 (MID1), oral-facial-digital syndrome 1 (OFD1), and dystrophin (DMD)] were previously found to be associated with isolated CL±P. We attempted to confirm the role of X-linked genes in the etiology of isolated CL±P in a South American population through a family-based genome-wide scan. We studied 27 affected children and their mothers, from 26 families, in a Patagonian population with a high prevalence of CL±P. We conducted an exploratory analysis of the X chromosome to identify candidate regions associated with CL±P. Four genomic segments were identified, two of which showed a statistically significant association with CL±P. One is an 11-kb region of Xp21.1 containing the DMD gene, and the other is an intergenic region (8.7 kb; Xp11.4). Our results are consistent with recent data on the involvement of the DMD gene in the etiology of CL±P. The MID1 and OFD1 genes were not included in the four potential CL±P-associated X-chromosome genomic segments.

VL - 123 IS - 5 U1 - https://www.ncbi.nlm.nih.gov/pubmed/26331285?dopt=Abstract ER - TY - JOUR T1 - Fast inexact mapping using advanced tree exploration on backward search methods. JF - BMC Bioinformatics Y1 - 2015 A1 - Salavert, José A1 - Tomás, Andrés A1 - Tárraga, Joaquín A1 - Medina, Ignacio A1 - Dopazo, Joaquin A1 - Blanquer, Ignacio KW - Algorithms KW - Genome, Human KW - Genomics KW - High-Throughput Nucleotide Sequencing KW - Humans KW - Sequence Alignment KW - Sequence Analysis, DNA KW - Software AB -

BACKGROUND: Short sequence mapping methods for Next Generation Sequencing consist on a combination of seeding techniques followed by local alignment based on dynamic programming approaches. Most seeding algorithms are based on backward search alignment, using the Burrows Wheeler Transform, the Ferragina and Manzini Index or Suffix Arrays. All these backward search algorithms have excellent performance, but their computational cost highly increases when allowing errors. In this paper, we discuss an inexact mapping algorithm based on pruning strategies for search tree exploration over genomic data.

RESULTS: The proposed algorithm achieves a 13x speed-up over similar algorithms when allowing 6 base errors, including insertions, deletions and mismatches. This algorithm can deal with 400 bps reads with up to 9 errors in a high quality Illumina dataset. In this example, the algorithm works as a preprocessor that reduces by 55% the number of reads to be aligned. Depending on the aligner the overall execution time is reduced between 20-40%.

CONCLUSIONS: Although not intended as a complete sequence mapping tool, the proposed algorithm could be used as a preprocessing step to modern sequence mappers. This step significantly reduces the number reads to be aligned, accelerating overall alignment time. Furthermore, this algorithm could be used for accelerating the seeding step of already available sequence mappers. In addition, an out-of-core index has been implemented for working with large genomes on systems without expensive memory configurations.

VL - 16 U1 - https://www.ncbi.nlm.nih.gov/pubmed/25626517?dopt=Abstract ER - TY - JOUR T1 - Using activation status of signaling pathways as mechanism-based biomarkers to predict drug sensitivity. JF - Sci Rep Y1 - 2015 A1 - Amadoz, Alicia A1 - Sebastián-Leon, Patricia A1 - Vidal, Enrique A1 - Salavert, Francisco A1 - Dopazo, Joaquin KW - Algorithms KW - Antineoplastic Agents KW - biomarkers KW - Cell Line, Tumor KW - Cell Survival KW - gene expression KW - Humans KW - Lethal Dose 50 KW - Neoplasms KW - Phosphorylation KW - Proteins KW - Signal Transduction AB -

Many complex traits, as drug response, are associated with changes in biological pathways rather than being caused by single gene alterations. Here, a predictive framework is presented in which gene expression data are recoded into activity statuses of signal transduction circuits (sub-pathways within signaling pathways that connect receptor proteins to final effector proteins that trigger cell actions). Such activity values are used as features by a prediction algorithm which can efficiently predict a continuous variable such as the IC50 value. The main advantage of this prediction method is that the features selected by the predictor, the signaling circuits, are themselves rich-informative, mechanism-based biomarkers which provide insight into or drug molecular mechanisms of action (MoA).

VL - 5 U1 - https://www.ncbi.nlm.nih.gov/pubmed/26678097?dopt=Abstract ER - TY - JOUR T1 - Whole Exome Sequencing Reveals ZNF408 as a New Gene Associated With Autosomal Recessive Retinitis Pigmentosa with Vitreal Alterations. JF - Human molecular genetics Y1 - 2015 A1 - Avila-Fernandez, Almudena A1 - Perez-Carro, Raquel A1 - Corton, Marta A1 - Lopez-Molina, Maria Isabel A1 - Campello, Laura A1 - Garanto, Alex A1 - Fernadez-Sanchez, Laura A1 - Duijkers, Lonneke A1 - Lopez-Martinez, Miguel Angel A1 - Riveiro-Alvarez, Rosa A1 - da Silva, Luciana Rodrigues Jacy A1 - Sanchez-Alcudia, Rocío A1 - Martin-Garrido, Esther A1 - Reyes, Noelia A1 - Garcia-Garcia, Francisco A1 - Dopazo, Joaquin A1 - Garcia-Sandoval, Blanca A1 - Collin, Rob W A1 - Cuenca, Nicolas A1 - Ayuso, Carmen AB - Retinitis Pigmentosa (RP) is a group of progressive inherited retinal dystrophies that cause visual impairment as a result of photoreceptor cell death. RP is heterogeneous, both clinically and genetically making difficult to establish precise genotype-phenotype correlations. In a Spanish family with autosomal recessive RP (arRP), homozygosity mapping and whole exome sequencing led to the identification of a homozygous mutation (c.358_359delGT; p.Ala122Leufs*2) in the ZNF408 gene. A screening performed in 217 additional unrelated families revealed another homozygous mutation (c.1621C>T; p.Arg541Cys) in an isolated RP case. ZNF408 encodes a transcription factor that harbors ten predicted C2H2-type fingers thought to be implicated in DNA binding. To elucidate the ZNF408 role in the retina and the pathogenesis of these mutations we have performed different functional studies. By immunohistochemical analysis in healthy human retina, we identified that ZNF408 is expressed in both cone and rod photoreceptors, in a specific type of amacrine and ganglion cells, and in retinal blood vessels. ZNF408 revealed a cytoplasmic localization and a nuclear distribution in areas corresponding with the euchromatin fraction. Immunolocalization studies showed a partial mislocalization of the p.Arg541Cys mutant protein retaining part of the WT protein in the cytoplasm. Our study demonstrates that ZNF408, previously associated with Familial Exudative Vitreoretinopathy (FEVR), is a new gene causing arRP with vitreous condensations supporting the evidence that this protein plays additional functions into the human retina. VL - 24 UR - http://hmg.oxfordjournals.org/content/early/2015/04/16/hmg.ddv140.abstract ER - TY - JOUR T1 - Whole-exome sequencing reveals ZNF408 as a new gene associated with autosomal recessive retinitis pigmentosa with vitreal alterations. JF - Hum Mol Genet Y1 - 2015 A1 - Avila-Fernandez, Almudena A1 - Perez-Carro, Raquel A1 - Corton, Marta A1 - Lopez-Molina, Maria Isabel A1 - Campello, Laura A1 - Garanto, Alejandro A1 - Fernandez-Sanchez, Laura A1 - Duijkers, Lonneke A1 - Lopez-Martinez, Miguel Angel A1 - Riveiro-Alvarez, Rosa A1 - da Silva, Luciana Rodrigues Jacy A1 - Sanchez-Alcudia, Rocío A1 - Martin-Garrido, Esther A1 - Reyes, Noelia A1 - Garcia-Garcia, Francisco A1 - Dopazo, Joaquin A1 - Garcia-Sandoval, Blanca A1 - Collin, Rob W J A1 - Cuenca, Nicolas A1 - Ayuso, Carmen KW - Amino Acid Sequence KW - Animals KW - Chlorocebus aethiops KW - Chromosome Mapping KW - COS Cells KW - DNA-Binding Proteins KW - Exome KW - Genome-Wide Association Study KW - High-Throughput Nucleotide Sequencing KW - Homozygote KW - Humans KW - Molecular Sequence Data KW - Mutant Proteins KW - Pedigree KW - Retina KW - Retinal Cone Photoreceptor Cells KW - Retinal Rod Photoreceptor Cells KW - Retinitis pigmentosa KW - Transcription Factors AB -

Retinitis pigmentosa (RP) is a group of progressive inherited retinal dystrophies that cause visual impairment as a result of photoreceptor cell death. RP is heterogeneous, both clinically and genetically making difficult to establish precise genotype-phenotype correlations. In a Spanish family with autosomal recessive RP (arRP), homozygosity mapping and whole-exome sequencing led to the identification of a homozygous mutation (c.358_359delGT; p.Ala122Leufs*2) in the ZNF408 gene. A screening performed in 217 additional unrelated families revealed another homozygous mutation (c.1621C>T; p.Arg541Cys) in an isolated RP case. ZNF408 encodes a transcription factor that harbors 10 predicted C2H2-type fingers thought to be implicated in DNA binding. To elucidate the ZNF408 role in the retina and the pathogenesis of these mutations we have performed different functional studies. By immunohistochemical analysis in healthy human retina, we identified that ZNF408 is expressed in both cone and rod photoreceptors, in a specific type of amacrine and ganglion cells, and in retinal blood vessels. ZNF408 revealed a cytoplasmic localization and a nuclear distribution in areas corresponding with the euchromatin fraction. Immunolocalization studies showed a partial mislocalization of the p.Arg541Cys mutant protein retaining part of the WT protein in the cytoplasm. Our study demonstrates that ZNF408, previously associated with Familial Exudative Vitreoretinopathy (FEVR), is a new gene causing arRP with vitreous condensations supporting the evidence that this protein plays additional functions into the human retina.

VL - 24 IS - 14 U1 - https://www.ncbi.nlm.nih.gov/pubmed/25882705?dopt=Abstract ER - TY - JOUR T1 - Acceleration of short and long DNA read mapping without loss of accuracy using suffix array. JF - Bioinformatics (Oxford, England) Y1 - 2014 A1 - Tárraga, Joaquín A1 - Arnau, Vicente A1 - Martinez, Hector A1 - Moreno, Raul A1 - Cazorla, Diego A1 - Salavert-Torres, José A1 - Blanquer-Espert, Ignacio A1 - Joaquín Dopazo A1 - Medina, Ignacio KW - NGS KW - short read mapping. HPC. suffix arrays AB - HPG Aligner applies suffix arrays for DNA read mapping. This implementation produces a highly sensitive and extremely fast mapping of DNA reads that scales up almost linearly with read length. The approach presented here is faster (over 20x for long reads) and more sensitive (over 98% in a wide range of read lengths) than the current, state-of-the-art mappers. HPG Aligner is not only an optimal alternative for current sequencers but also the only solution available to cope with longer reads and growing throughputs produced by forthcoming sequencing technologies. VL - 30 UR - http://bioinformatics.oxfordjournals.org/content/early/2014/08/19/bioinformatics.btu553.long ER - TY - JOUR T1 - Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures. JF - Nature communications Y1 - 2014 A1 - Munro, Sarah A A1 - Lund, Steven P A1 - Pine, P Scott A1 - Binder, Hans A1 - Clevert, Djork-Arné A1 - Ana Conesa A1 - Dopazo, Joaquin A1 - Fasold, Mario A1 - Hochreiter, Sepp A1 - Hong, Huixiao A1 - Jafari, Nadereh A1 - Kreil, David P A1 - Labaj, Paweł P A1 - Li, Sheng A1 - Liao, Yang A1 - Lin, Simon M A1 - Meehan, Joseph A1 - Mason, Christopher E A1 - Santoyo-López, Javier A1 - Setterquist, Robert A A1 - Shi, Leming A1 - Shi, Wei A1 - Smyth, Gordon K A1 - Stralis-Pavese, Nancy A1 - Su, Zhenqiang A1 - Tong, Weida A1 - Wang, Charles A1 - Wang, Jian A1 - Xu, Joshua A1 - Ye, Zhan A1 - Yang, Yong A1 - Yu, Ying A1 - Salit, Marc KW - RNA-seq AB - There is a critical need for standard approaches to assess, report and compare the technical performance of genome-scale differential gene expression experiments. Here we assess technical performance with a proposed standard ’dashboard’ of metrics derived from analysis of external spike-in RNA control ratio mixtures. These control ratio mixtures with defined abundance ratios enable assessment of diagnostic performance of differentially expressed transcript lists, limit of detection of ratio (LODR) estimates and expression ratio variability and measurement bias. The performance metrics suite is applicable to analysis of a typical experiment, and here we also apply these metrics to evaluate technical performance among laboratories. An interlaboratory study using identical samples shared among 12 laboratories with three different measurement processes demonstrates generally consistent diagnostic power across 11 laboratories. Ratio measurement variability and bias are also comparable among laboratories for the same measurement process. We observe different biases for measurement processes using different mRNA-enrichment protocols. VL - 5 UR - http://www.nature.com/ncomms/2014/140925/ncomms6125/full/ncomms6125.html ER - TY - JOUR T1 - A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium. JF - Nature biotechnology Y1 - 2014 A1 - Su, Z. A1 - Labaj, P.P. A1 - .... A1 - Dopazo, J. A1 - .... A1 - Mason, C.E. A1 - Shi, L KW - NGS KW - RNA-seq KW - SEQC AB - We present primary results from the Sequencing Quality Control (SEQC) project, coordinated by the US Food and Drug Administration. Examining Illumina HiSeq, Life Technologies SOLiD and Roche 454 platforms at multiple laboratory sites using reference RNA samples with built-in controls, we assess RNA sequencing (RNA-seq) performance for junction discovery and differential expression profiling and compare it to microarray and quantitative PCR (qPCR) data using complementary metrics. At all sequencing depths, we discover unannotated exon-exon junctions, with >80% validated by qPCR. We find that measurements of relative expression are accurate and reproducible across sites and platforms if specific filters are used. In contrast, RNA-seq and microarrays do not provide accurate absolute measurements, and gene-specific biases are observed for all examined platforms, including qPCR. Measurement performance depends on the platform and data analysis pipeline, and variation is large for transcript-level profiling. The complete SEQC data sets, comprising >100 billion reads (10Tb), provide unique resources for evaluating RNA-seq analyses for clinical and regulatory settings. VL - 32 UR - http://www.nature.com/nbt/journal/vaop/ncurrent/full/nbt.2957.html ER - TY - JOUR T1 - A Comprehensive DNA Methylation Profile of Epithelial-to-Mesenchymal Transition. JF - Cancer research Y1 - 2014 A1 - Carmona, F Javier A1 - Davalos, Veronica A1 - Vidal, Enrique A1 - Gomez, Antonio A1 - Heyn, Holger A1 - Hashimoto, Yutaka A1 - Vizoso, Miguel A1 - Martinez-Cardus, Anna A1 - Sayols, Sergi A1 - Ferreira, Humberto A1 - Sanchez-Mut, Jose A1 - Moran, Sebastian A1 - Margeli, Mireia A1 - Castella, Eva A1 - Berdasco, Maria A1 - Stefansson, Olafur Andri A1 - Eyfjord, Jorunn E A1 - Gonzalez-Suarez, Eva A1 - Dopazo, Joaquin A1 - Orozco, Modesto A1 - Gut, Ivo A1 - Esteller, Manel KW - Methyl-Seq KW - Methylomics KW - Next Generation Sequencing AB - Epithelial-to-mesenchymal transition (EMT) is a plastic process in which fully differentiated epithelial cells are converted into poorly differentiated, migratory and invasive mesenchymal cells and it has been related to the metastasis potential of tumors. This is a reversible process and cells can also eventually undergo mesenchymal-to-epithelial transition (MET). The existence of a dynamic EMT process suggests the involvement of epigenetic shifts in the phenotype. Herein, we obtained the DNA methylomes at single-base resolution of MDCK cells undergoing epithelial-to-mesenchymal transition (EMT) and translated the identified differentially methylated regions (DMRs) to human breast cancer cells undergoing a gain of migratory and invasive capabilities associated with the EMT phenotype. We noticed dynamic and reversible changes of DNA methylation, both on promoter sequences and gene-bodies in association with transcription regulation of EMT-related genes. Most importantly, the identified DNA methylation markers of EMT were present in primary mammary tumors in association with the epithelial or the mesenchymal phenotype of the studied breast cancer samples. VL - 74 UR - http://www.ncbi.nlm.nih.gov/pubmed/25106427 ER - TY - JOUR T1 - Deciphering intrafamilial phenotypic variability by exome sequencing in a Bardet–Biedl family JF - Molecular Genetics & Genomic Medicine Y1 - 2014 A1 - González-del Pozo, María A1 - Méndez-Vidal, Cristina A1 - Santoyo-López, Javier A1 - Vela-Boza, Alicia A1 - Nereida Bravo-Gil A1 - Antonio Rueda A1 - García-Alonso, Luz A1 - Vázquez-Marouschek, Carmen A1 - Joaquín Dopazo A1 - Borrego, Salud A1 - Antiňolo, Guillermo AB - Bardet–Biedl syndrome (BBS) is a model ciliopathy characterized by a wide range of clinical variability. The heterogeneity of this condition is reflected in the number of underlying gene defects and the epistatic interactions between the proteins encoded. BBS is generally inherited in an autosomal recessive trait. However, in some families, mutations across different loci interact to modulate the expressivity of the phenotype. In order to investigate the magnitude of epistasis in one BBS family with remarkable intrafamilial phenotypic variability, we designed an exome sequencing–based approach using SOLID 5500xl platform. This strategy allowed the reliable detection of the primary causal mutations in our family consisting of two novel compound heterozygous mutations in McKusick–Kaufman syndrome (MKKS) gene (p.D90G and p.V396F). Additionally, exome sequencing enabled the detection of one novel heterozygous NPHP4 variant which is predicted to activate a cryptic acceptor splice site and is only present in the most severely affected patient. Here, we provide an exome sequencing analysis of a BBS family and show the potential utility of this tool, in combination with network analysis, to detect disease-causing mutations and second-site modifiers. Our data demonstrate how next-generation sequencing (NGS) can facilitate the dissection of epistatic phenomena, and shed light on the genetic basis of phenotypic variability. VL - 2 UR - http://onlinelibrary.wiley.com/doi/10.1002/mgg3.50/full ER - TY - JOUR T1 - Deciphering intrafamilial phenotypic variability by exome sequencing in a Bardet-Biedl family. JF - Mol Genet Genomic Med Y1 - 2014 A1 - González-del Pozo, María A1 - Méndez-Vidal, Cristina A1 - Santoyo-López, Javier A1 - Vela-Boza, Alicia A1 - Bravo-Gil, Nereida A1 - Rueda, Antonio A1 - García-Alonso, Luz A1 - Vázquez-Marouschek, Carmen A1 - Dopazo, Joaquin A1 - Borrego, Salud A1 - Antiňolo, Guillermo AB -

Bardet-Biedl syndrome (BBS) is a model ciliopathy characterized by a wide range of clinical variability. The heterogeneity of this condition is reflected in the number of underlying gene defects and the epistatic interactions between the proteins encoded. BBS is generally inherited in an autosomal recessive trait. However, in some families, mutations across different loci interact to modulate the expressivity of the phenotype. In order to investigate the magnitude of epistasis in one BBS family with remarkable intrafamilial phenotypic variability, we designed an exome sequencing-based approach using SOLID 5500xl platform. This strategy allowed the reliable detection of the primary causal mutations in our family consisting of two novel compound heterozygous mutations in McKusick-Kaufman syndrome (MKKS) gene (p.D90G and p.V396F). Additionally, exome sequencing enabled the detection of one novel heterozygous NPHP4 variant which is predicted to activate a cryptic acceptor splice site and is only present in the most severely affected patient. Here, we provide an exome sequencing analysis of a BBS family and show the potential utility of this tool, in combination with network analysis, to detect disease-causing mutations and second-site modifiers. Our data demonstrate how next-generation sequencing (NGS) can facilitate the dissection of epistatic phenomena, and shed light on the genetic basis of phenotypic variability.

VL - 2 IS - 2 U1 - https://www.ncbi.nlm.nih.gov/pubmed/24689075?dopt=Abstract ER - TY - JOUR T1 - A New Overgrowth Syndrome is Due to Mutations in RNF125. JF - Human mutation Y1 - 2014 A1 - Tenorio, Jair A1 - Mansilla, Alicia A1 - Valencia, María A1 - Martínez-Glez, Víctor A1 - Romanelli, Valeria A1 - Arias, Pedro A1 - Castrejón, Nerea A1 - Poletta, Fernando A1 - Guillén-Navarro, Encarna A1 - Gordo, Gema A1 - Mansilla, Elena A1 - García-Santiago, Fé A1 - González-Casado, Isabel A1 - Vallespín, Elena A1 - Palomares, María A1 - Mori, María A A1 - Santos-Simarro, Fernando A1 - García-Miñaur, Sixto A1 - Fernández, Luis A1 - Mena, Rocío A1 - Benito-Sanz, Sara A1 - Del Pozo, Angela A1 - Silla, Juan Carlos A1 - Ibañez, Kristina A1 - López-Granados, Eduardo A1 - Martín-Trujillo, Alex A1 - Montaner, David A1 - Heath, Karen E A1 - Campos-Barros, Angel A1 - Joaquín Dopazo A1 - Nevado, Julián A1 - Monk, David A1 - Ruiz-Pérez, Víctor L A1 - Lapunzina, Pablo KW - NGS KW - prioritization KW - Rare Disease AB - Overgrowth syndromes (OGS) are a group of disorders in which all parameters of growth and physical development are above the mean for age and sex. We evaluated a series of 270 families from the Spanish Overgrowth Syndrome Registry with no known overgrowth syndrome. We identified one de novo deletion and three missense mutations in RNF125 in six patients from 4 families with overgrowth, macrocephaly, intellectual disability, mild hydrocephaly, hypoglycaemia and inflammatory diseases resembling Sjögren syndrome. RNF125 encodes an E3 ubiquitin ligase and is a novel gene of OGS. Our studies of the RNF125 pathway point to upregulation of RIG-I-IPS1-MDA5 and/or disruption of the PI3K-AKT and interferon signaling pathways as the putative final effectors. This article is protected by copyright. All rights reserved. VL - 35 UR - http://onlinelibrary.wiley.com/doi/10.1002/humu.22689/abstract ER - TY - JOUR T1 - ngsCAT: a tool to assess the efficiency of targeted enrichment sequencing. JF - Bioinformatics Y1 - 2014 A1 - López-Domingo, Francisco J A1 - Florido, Javier P A1 - Rueda, Antonio A1 - Dopazo, Joaquin A1 - Santoyo-López, Javier KW - Exome KW - Genome, Human KW - High-Throughput Nucleotide Sequencing KW - Humans KW - Sequence Analysis, DNA KW - Software AB -

MOTIVATION: Targeted enrichment sequencing by next-generation sequencing is a common approach to interrogate specific loci or the whole exome in the human genome. The efficiency and the lack of bias in the enrichment process need to be assessed as a quality control step before performing downstream analysis of the sequence data. Tools that can report on the sensitivity, specificity, uniformity and other enrichment-specific features are needed.

RESULTS: We have implemented the next-generation sequencing data Capture Assessment Tool (ngsCAT), a tool that takes the information of the mapped reads and the coordinates of the targeted regions as input files, and generates a report with metrics and figures that allows the evaluation of the efficiency of the enrichment process. The tool can also take as input the information of two samples allowing the comparison of two different experiments.

AVAILABILITY AND IMPLEMENTATION: Documentation and downloads for ngsCAT can be found at http://www.bioinfomgp.org/ngscat.

VL - 30 IS - 12 U1 - https://www.ncbi.nlm.nih.gov/pubmed/24578402?dopt=Abstract ER - TY - JOUR T1 - The role of the interactome in the maintenance of deleterious variability in human populations. JF - Mol Syst Biol Y1 - 2014 A1 - García-Alonso, Luz A1 - Jiménez-Almazán, Jorge A1 - Carbonell-Caballero, José A1 - Vela-Boza, Alicia A1 - Santoyo-López, Javier A1 - Antiňolo, Guillermo A1 - Dopazo, Joaquin KW - Alleles KW - Exome KW - Gene Library KW - Genetic Variation KW - Genetics, Population KW - Genome, Human KW - Genomics KW - Humans KW - Models, Genetic KW - mutation KW - Phenotype KW - Protein Conformation KW - Protein Interaction Maps KW - Sequence Analysis, DNA KW - Whites AB -

Recent genomic projects have revealed the existence of an unexpectedly large amount of deleterious variability in the human genome. Several hypotheses have been proposed to explain such an apparently high mutational load. However, the mechanisms by which deleterious mutations in some genes cause a pathological effect but are apparently innocuous in other genes remain largely unknown. This study searched for deleterious variants in the 1,000 genomes populations, as well as in a newly sequenced population of 252 healthy Spanish individuals. In addition, variants causative of monogenic diseases and somatic variants from 41 chronic lymphocytic leukaemia patients were analysed. The deleterious variants found were analysed in the context of the interactome to understand the role of network topology in the maintenance of the observed mutational load. Our results suggest that one of the mechanisms whereby the effect of these deleterious variants on the phenotype is suppressed could be related to the configuration of the protein interaction network. Most of the deleterious variants observed in healthy individuals are concentrated in peripheral regions of the interactome, in combinations that preserve their connectivity, and have a marginal effect on interactome integrity. On the contrary, likely pathogenic cancer somatic deleterious variants tend to occur in internal regions of the interactome, often with associated structural consequences. Finally, variants causative of monogenic diseases seem to occupy an intermediate position. Our observations suggest that the real pathological potential of a variant might be more a systems property rather than an intrinsic property of individual proteins.

VL - 10 U1 - https://www.ncbi.nlm.nih.gov/pubmed/25261458?dopt=Abstract ER - TY - JOUR T1 - Two novel mutations in the BCKDK (branched-chain keto-acid dehydrogenase kinase) gene are responsible for a neurobehavioral deficit in two pediatric unrelated patients. JF - Hum Mutat Y1 - 2014 A1 - García-Cazorla, Angels A1 - Oyarzabal, Alfonso A1 - Fort, Joana A1 - Robles, Concepción A1 - Castejón, Esperanza A1 - Ruiz-Sala, Pedro A1 - Bodoy, Susanna A1 - Merinero, Begoña A1 - Lopez-Sala, Anna A1 - Dopazo, Joaquin A1 - Nunes, Virginia A1 - Ugarte, Magdalena A1 - Artuch, Rafael A1 - Palacín, Manuel A1 - Rodríguez-Pombo, Pilar A1 - Alcaide, Patricia A1 - Navarrete, Rosa A1 - Sanz, Paloma A1 - Font-Llitjós, Mariona A1 - Vilaseca, Ma Antonia A1 - Ormaizabal, Aida A1 - Pristoupilova, Anna A1 - Agulló, Sergi Beltran KW - Amino Acids, Branched-Chain KW - Developmental Disabilities KW - Fibroblasts KW - Humans KW - Male KW - Mutation, Missense KW - Nervous System Diseases KW - Pediatrics KW - Protein Kinases AB -

Inactivating mutations in the BCKDK gene, which codes for the kinase responsible for the negative regulation of the branched-chain α-keto acid dehydrogenase complex (BCKD), have recently been associated with a form of autism in three families. In this work, two novel exonic BCKDK mutations, c.520C>G/p.R174G and c.1166T>C/p.L389P, were identified at the homozygous state in two unrelated children with persistently reduced body fluid levels of branched-chain amino acids (BCAAs), developmental delay, microcephaly, and neurobehavioral abnormalities. Functional analysis of the mutations confirmed the missense character of the c.1166T>C change and showed a splicing defect r.[520c>g;521_543del]/p.R174Gfs1*, for c.520C>G due to the presence of a new donor splice site. Mutation p.L389P showed total loss of kinase activity. Moreover, patient-derived fibroblasts showed undetectable (p.R174Gfs1*) or barely detectable (p.L389P) levels of BCKDK protein and its phosphorylated substrate (phospho-E1α), resulting in increased BCKD activity and the very rapid BCAA catabolism manifested by the patients' clinical phenotype. Based on these results, a protein-rich diet plus oral BCAA supplementation was implemented in the patient homozygous for p.R174Gfs1*. This treatment normalized plasma BCAA levels and improved growth, developmental and behavioral variables. Our results demonstrate that BCKDK mutations can result in neurobehavioral deficits in humans and support the rationale for dietary intervention.

VL - 35 IS - 4 U1 - https://www.ncbi.nlm.nih.gov/pubmed/24449431?dopt=Abstract ER - TY - JOUR T1 - Understanding disease mechanisms with models of signaling pathway activities. JF - BMC systems biology Y1 - 2014 A1 - Sebastián-Leon, Patricia A1 - Vidal, Enrique A1 - Minguez, Pablo A1 - Ana Conesa A1 - Sonia Tarazona A1 - Amadoz, Alicia A1 - Armero, Carmen A1 - Salavert, Francisco A1 - Vidal-Puig, Antonio A1 - Montaner, David A1 - Joaquín Dopazo KW - Disease mechanism KW - pathway KW - signalling KW - Systems biology AB - BackgroundUnderstanding the aspects of the cell functionality that account for disease or drug action mechanisms is one of the main challenges in the analysis of genomic data and is on the basis of the future implementation of precision medicine.ResultsHere we propose a simple probabilistic model in which signaling pathways are separated into elementary sub-pathways or signal transmission circuits (which ultimately trigger cell functions) and then transforms gene expression measurements into probabilities of activation of such signal transmission circuits. Using this model, differential activation of such circuits between biological conditions can be estimated. Thus, circuit activation statuses can be interpreted as biomarkers that discriminate among the compared conditions. This type of mechanism-based biomarkers accounts for cell functional activities and can easily be associated to disease or drug action mechanisms. The accuracy of the proposed model is demonstrated with simulations and real datasets.ConclusionsThe proposed model provides detailed information that enables the interpretation disease mechanisms as a consequence of the complex combinations of altered gene expression values. Moreover, it offers a framework for suggesting possible ways of therapeutic intervention in a pathologically perturbed system. VL - 8 UR - http://www.biomedcentral.com/1752-0509/8/121/abstract ER - TY - JOUR T1 - Understanding disease mechanisms with models of signaling pathway activities JF - BMC systems biology Y1 - 2014 A1 - Sebastián-Leon, Patricia A1 - Vidal, Enrique A1 - Minguez, Pablo A1 - Conesa, Ana A1 - Tarazona, Sonia A1 - Amadoz, Alicia A1 - Armero, Carmen A1 - Salavert Torres, Francisco A1 - Vidal-Puig, Antonio A1 - Montaner, David A1 - Dopazo, Joaquin VL - 8 ER - TY - JOUR T1 - A web-based interactive framework to assist in the prioritization of disease candidate genes in whole-exome sequencing studies. JF - Nucleic acids research Y1 - 2014 A1 - Alemán, Alejandro A1 - Garcia-Garcia, Francisco A1 - Salavert, Francisco A1 - Medina, Ignacio A1 - Joaquín Dopazo KW - NGS. prioritization AB - Whole-exome sequencing has become a fundamental tool for the discovery of disease-related genes of familial diseases and the identification of somatic driver variants in cancer. However, finding the causal mutation among the enormous background of individual variability in a small number of samples is still a big challenge. Here we describe a web-based tool, BiERapp, which efficiently helps in the identification of causative variants in family and sporadic genetic diseases. The program reads lists of predicted variants (nucleotide substitutions and indels) in affected individuals or tumor samples and controls. In family studies, different modes of inheritance can easily be defined to filter out variants that do not segregate with the disease along the family. Moreover, BiERapp integrates additional information such as allelic frequencies in the general population and the most popular damaging scores to further narrow down the number of putative variants in successive filtering steps. BiERapp provides an interactive and user-friendly interface that implements the filtering strategy used in the context of a large-scale genomic project carried out by the Spanish Network for Research in Rare Diseases (CIBERER) in which more than 800 exomes have been analyzed. BiERapp is freely available at: http://bierapp.babelomics.org/ VL - 42 UR - http://nar.oxfordjournals.org/content/42/W1/W88 ER - TY - JOUR T1 - Assessing Differential Expression Measurements by Highly Parallel Pyrosequencing and DNA Microarrays: A Comparative Study. JF - Omics : a journal of integrative biology Y1 - 2013 A1 - Ariño, Joaquín A1 - Casamayor, Antonio A1 - Pérez, Julián Perez A1 - Pedrola, Laia A1 - Alvarez-Tejado, Miguel A1 - Marbà, Martina A1 - Santoyo, Javier A1 - Joaquín Dopazo AB -

Abstract To explore the feasibility of pyrosequencing for quantitative differential gene expression analysis we have performed a comparative study of the results of the sequencing experiments to those obtained by a conventional DNA microarray platform. A conclusion from our analysis is that, over a threshold of 35 normalized reads per gene, the measurements of gene expression display a good correlation with the references. The observed concordance between pyrosequencing and DNA microarray platforms beyond the threshold was of 0.8, measured as a Pearson’s correlation coefficient. In differential gene expression the initial aim is the quantification the differences among transcripts when comparing experimental conditions. Thus, even in a scenario of low coverage the concordance in the measurements is quite acceptable. On the other hand, the comparatively longer read size obtained by pyrosequencing allows detecting unconventional splicing forms.

UR - http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3545353/ ER - TY - JOUR T1 - Defining the genomic signature of totipotency and pluripotency during early human development. JF - PLoS One Y1 - 2013 A1 - Galan, Amparo A1 - Diaz-Gimeno, Patricia A1 - Poo, Maria Eugenia A1 - Valbuena, Diana A1 - Sanchez, Eva A1 - Ruiz, Veronica A1 - Dopazo, Joaquin A1 - Montaner, David A1 - Conesa, Ana A1 - Simon, Carlos KW - Blastocyst Inner Cell Mass KW - Blastomeres KW - Cell Differentiation KW - Embryonic Development KW - Embryonic Stem Cells KW - Gene Expression Profiling KW - Gene Regulatory Networks KW - Genome, Human KW - Humans KW - Molecular Sequence Annotation KW - Pluripotent Stem Cells KW - Totipotent Stem Cells AB -

The genetic mechanisms governing human pre-implantation embryo development and the in vitro counterparts, human embryonic stem cells (hESCs), still remain incomplete. Previous global genome studies demonstrated that totipotent blastomeres from day-3 human embryos and pluripotent inner cell masses (ICMs) from blastocysts, display unique and differing transcriptomes. Nevertheless, comparative gene expression analysis has revealed that no significant differences exist between hESCs derived from blastomeres versus those obtained from ICMs, suggesting that pluripotent hESCs involve a new developmental progression. To understand early human stages evolution, we developed an undifferentiation network signature (UNS) and applied it to a differential gene expression profile between single blastomeres from day-3 embryos, ICMs and hESCs. This allowed us to establish a unique signature composed of highly interconnected genes characteristic of totipotency (61 genes), in vivo pluripotency (20 genes), and in vitro pluripotency (107 genes), and which are also proprietary according to functional analysis. This systems biology approach has led to an improved understanding of the molecular and signaling processes governing human pre-implantation embryo development, as well as enabling us to comprehend how hESCs might adapt to in vitro culture conditions.

VL - 8 IS - 4 U1 - https://www.ncbi.nlm.nih.gov/pubmed/23614026?dopt=Abstract ER - TY - JOUR T1 - Genome Maps, a new generation genome browser. JF - Nucleic acids research Y1 - 2013 A1 - Medina, Ignacio A1 - Salavert, Francisco A1 - Sánchez, Rubén A1 - De Maria, Alejandro A1 - Alonso, Roberto A1 - Escobar, Pablo A1 - Bleda, Marta A1 - Joaquín Dopazo KW - BAM KW - genome viewer KW - HTML5 KW - javascript KW - Next Generation Sequencing KW - NGS KW - SVG KW - VCF AB - Genome browsers have gained importance as more genomes and related genomic information become available. However, the increase of information brought about by new generation sequencing technologies is, at the same time, causing a subtle but continuous decrease in the efficiency of conventional genome browsers. Here, we present Genome Maps, a genome browser that implements an innovative model of data transfer and management. The program uses highly efficient technologies from the new HTML5 standard, such as scalable vector graphics, that optimize workloads at both server and client sides and ensure future scalability. Thus, data management and representation are entirely carried out by the browser, without the need of any Java Applet, Flash or other plug-in technology installation. Relevant biological data on genes, transcripts, exons, regulatory features, single-nucleotide polymorphisms, karyotype and so forth, are imported from web services and are available as tracks. In addition, several DAS servers are already included in Genome Maps. As a novelty, this web-based genome browser allows the local upload of huge genomic data files (e.g. VCF or BAM) that can be dynamically visualized in real time at the client side, thus facilitating the management of medical data affected by privacy restrictions. Finally, Genome Maps can easily be integrated in any web application by including only a few lines of code. Genome Maps is an open source collaborative initiative available in the GitHub repository (https://github.com/compbio-bigdata-viz/genome-maps). Genome Maps is available at: http://www.genomemaps.org. VL - 41 UR - http://nar.oxfordjournals.org/content/41/W1/W41 ER - TY - JOUR T1 - Grape antioxidant dietary fiber (GADF) inhibits intestinal polyposis in ApcMin/+ mice: relation to cell cycle and immune response. JF - Carcinogenesis Y1 - 2013 A1 - Sánchez-Tena, Susana A1 - Lizarraga, Daneida A1 - Miranda, Anibal A1 - Vinardell, Maria Pilar A1 - Garcia-Garcia, Francisco A1 - Joaquín Dopazo A1 - Torres, Josep Lluís A1 - Saura-Calixto, Fulgencio A1 - Capellà, Gabriel A1 - Cascante, Marta AB - Epidemiological and experimental studies suggest that fiber and phenolic compounds might have a protective effect on the development of colon cancer in humans. Accordingly, we assessed the chemopreventive efficacy and associated mechanisms of action of a lyophilized red grape pomace containing proanthocyanidin-rich dietary fiber (Grape Antioxidant Dietary Fiber, GADF) on spontaneous intestinal tumorigenesis in the Apc(Min/+) mouse model. Mice were fed a standard diet (control group) or a 1% (w/w) GADF-supplemented diet (GADF group) for 6 weeks. GADF supplementation greatly reduced intestinal tumorigenesis, significantly decreasing the total number of polyps by 76%. Moreover, size distribution analysis showed a considerable reduction in all polyp size categories [diameter <1 mm (65%), 1-2 mm (67%) and >2 mm (87%)]. In terms of polyp formation in the proximal, middle and distal portions of the small intestine a decrease of 76%, 81% and 73% was observed respectively. Putative molecular mechanisms underlying the inhibition of intestinal tumorigenesis were investigated by comparison of microarray expression profiles of GADF-treated and non-treated mice. We observed that the effects of GADF are mainly associated with the induction of a G1 cell cycle arrest and the downregulation of genes related to the immune response and inflammation. Our findings show for the first time the efficacy and associated mechanisms of action of GADF against intestinal tumorigenesis in Apc(Min/+) mice, suggesting its potential for the prevention of colorectal cancer. UR - http://carcin.oxfordjournals.org/content/early/2013/04/23/carcin.bgt140.abstract ER - TY - JOUR T1 - Grape antioxidant dietary fiber inhibits intestinal polyposis in ApcMin/+ mice: relation to cell cycle and immune response. JF - Carcinogenesis Y1 - 2013 A1 - Sánchez-Tena, Susana A1 - Lizarraga, Daneida A1 - Miranda, Anibal A1 - Vinardell, Maria P A1 - Garcia-Garcia, Francisco A1 - Dopazo, Joaquin A1 - Torres, Josep L A1 - Saura-Calixto, Fulgencio A1 - Capellà, Gabriel A1 - Cascante, Marta KW - Animals KW - Antioxidants KW - Body Weight KW - Carcinogenesis KW - Cell Cycle KW - Cell Cycle Checkpoints KW - Colorectal Neoplasms KW - Dietary Fiber KW - Dietary Supplements KW - Down-Regulation KW - G1 Phase KW - Inflammation KW - Intestinal Polyposis KW - Intestinal Polyps KW - Intestine, Small KW - Male KW - Mice KW - Transcriptome KW - Vitis AB -

Epidemiological and experimental studies suggest that fiber and phenolic compounds might have a protective effect on the development of colon cancer in humans. Accordingly, we assessed the chemopreventive efficacy and associated mechanisms of action of a lyophilized red grape pomace containing proanthocyanidin (PA)-rich dietary fiber [grape antioxidant dietary fiber (GADF)] on spontaneous intestinal tumorigenesis in the Apc(Min/+) mouse model. Mice were fed a standard diet (control group) or a 1% (w/w) GADF-supplemented diet (GADF group) for 6 weeks. GADF supplementation greatly reduced intestinal tumorigenesis, significantly decreasing the total number of polyps by 76%. Moreover, size distribution analysis showed a considerable reduction in all polyp size categories [diameter <1mm (65%), 1-2mm (67%) and >2mm (87%)]. In terms of polyp formation in the proximal, middle and distal portions of the small intestine, a decrease of 76, 81 and 73% was observed, respectively. Putative molecular mechanisms underlying the inhibition of intestinal tumorigenesis were investigated by comparison of microarray expression profiles of GADF-treated and non-treated mice. We observed that the effects of GADF are mainly associated with the induction of a G1 cell cycle arrest and the downregulation of genes related to the immune response and inflammation. Our findings show for the first time the efficacy and associated mechanisms of action of GADF against intestinal tumorigenesis in Apc(Min/+) mice, suggesting its potential for the prevention of colorectal cancer.

VL - 34 IS - 8 U1 - https://www.ncbi.nlm.nih.gov/pubmed/23615403?dopt=Abstract ER - TY - JOUR T1 - Inferring the functional effect of gene expression changes in signaling pathways. JF - Nucleic Acids Res Y1 - 2013 A1 - Sebastián-Leon, Patricia A1 - Carbonell, José A1 - Salavert, Francisco A1 - Sánchez, Rubén A1 - Medina, Ignacio A1 - Dopazo, Joaquin KW - Animals KW - Humans KW - Internet KW - Mice KW - Models, Statistical KW - Receptors, Cell Surface KW - Signal Transduction KW - Software KW - Transcriptome AB -

Signaling pathways constitute a valuable source of information that allows interpreting the way in which alterations in gene activities affect to particular cell functionalities. There are web tools available that allow viewing and editing pathways, as well as representing experimental data on them. However, few methods aimed to identify the signaling circuits, within a pathway, associated to the biological problem studied exist and none of them provide a convenient graphical web interface. We present PATHiWAYS, a web-based signaling pathway visualization system that infers changes in signaling that affect cell functionality from the measurements of gene expression values in typical expression microarray case-control experiments. A simple probabilistic model of the pathway is used to estimate the probabilities for signal transmission from any receptor to any final effector molecule (taking into account the pathway topology) using for this the individual probabilities of gene product presence/absence inferred from gene expression values. Significant changes in these probabilities allow linking different cell functionalities triggered by the pathway to the biological problem studied. PATHiWAYS is available at: http://pathiways.babelomics.org/.

VL - 41 IS - Web Server issue U1 - https://www.ncbi.nlm.nih.gov/pubmed/23748960?dopt=Abstract ER - TY - JOUR T1 - Maslinic Acid-Enriched Diet Decreases Intestinal Tumorigenesis in Apc(Min/+) Mice through Transcriptomic and Metabolomic Reprogramming. JF - PloS one Y1 - 2013 A1 - Sánchez-Tena, Susana A1 - Reyes-Zurita, Fernando J A1 - Díaz-Moralli, Santiago A1 - Vinardell, Maria Pilar A1 - Reed, Michelle A1 - Garcia-Garcia, Francisco A1 - Joaquín Dopazo A1 - Lupiáñez, José A A1 - Günther, Ulrich A1 - Cascante, Marta AB - Chemoprevention is a pragmatic approach to reduce the risk of colorectal cancer, one of the leading causes of cancer-related death in western countries. In this regard, maslinic acid (MA), a pentacyclic triterpene extracted from wax-like coatings of olives, is known to inhibit proliferation and induce apoptosis in colon cancer cell lines without affecting normal intestinal cells. The present study evaluated the chemopreventive efficacy and associated mechanisms of maslinic acid treatment on spontaneous intestinal tumorigenesis in Apc(Min/+) mice. Twenty-two mice were randomized into 2 groups: control group and MA group, fed with a maslinic acid-supplemented diet for six weeks. MA treatment reduced total intestinal polyp formation by 45% (P<0.01). Putative molecular mechanisms associated with suppressing intestinal polyposis in Apc(Min/+) mice were investigated by comparing microarray expression profiles of MA-treated and control mice and by analyzing the serum metabolic profile using NMR techniques. The different expression phenotype induced by MA suggested that it exerts its chemopreventive action mainly by inhibiting cell-survival signaling and inflammation. These changes eventually induce G1-phase cell cycle arrest and apoptosis. Moreover, the metabolic changes induced by MA treatment were associated with a protective profile against intestinal tumorigenesis. These results show the efficacy and underlying mechanisms of MA against intestinal tumor development in the Apc(Min/+) mice model, suggesting its chemopreventive potential against colorectal cancer. VL - 8 ER - TY - CONF T1 - Multicore and Cloud-based Solutions for Genomic Variant Analysis T2 - Proceedings of the 18th International Conference on Parallel Processing Workshops Y1 - 2013 A1 - Gonzalez, Cristina Y. A1 - Bleda, Marta A1 - Salavert, Francisco A1 - Sánchez, Rubén A1 - Dopazo, Joaquin A1 - Medina, Ignacio KW - genomic variant analysis KW - multicore KW - mutation KW - OpenMP KW - web service JF - Proceedings of the 18th International Conference on Parallel Processing Workshops PB - Springer-Verlag CY - Berlin, Heidelberg SN - 978-3-642-36948-3 UR - http://dx.doi.org/10.1007/978-3-642-36949-0_30 ER - TY - JOUR T1 - Novel genes detected by transcriptional profiling from whole-blood cells in patients with early onset of acute coronary syndrome. JF - Clin Chim Acta Y1 - 2013 A1 - Silbiger, Vivian N A1 - Luchessi, André D A1 - Hirata, Rosário D C A1 - Lima-Neto, Lídio G A1 - Cavichioli, Débora A1 - Carracedo, Ángel A1 - Brión, Maria A1 - Dopazo, Joaquin A1 - Garcia-Garcia, Francisco A1 - Dos Santos, Elizabete S A1 - Ramos, Rui F A1 - Sampaio, Marcelo F A1 - Armaganijan, Dikran A1 - Sousa, Amanda G M R A1 - Hirata, Mario H KW - Acute Coronary Syndrome KW - Acute-Phase Proteins KW - Adult KW - biomarkers KW - Blood Cells KW - Early Diagnosis KW - gene expression KW - Gene Expression Profiling KW - Humans KW - Male KW - Middle Aged KW - Oligonucleotide Array Sequence Analysis KW - RNA, Messenger KW - Transcriptome AB -

BACKGROUND: Genome-wide expression analysis using microarrays has been used as a research strategy to discovery new biomarkers and candidate genes for a number of diseases. We aim to find new biomarkers for the prediction of acute coronary syndrome (ACS) with a differentially expressed mRNA profiling approach using whole genomic expression analysis in a peripheral blood cell model from patients with early ACS.

METHODS AND RESULTS: This study was carried out in two phases. On phase 1 a restricted clinical criteria (ACS-Ph1, n=9 and CG-Ph1, n=6) was used in order to select potential mRNA biomarkers candidates. A subsequent phase 2 study was performed using selected phase 1 markers analyzed by RT-qPCR using a larger and independent casuistic (ACS-Ph2, n=74 and CG-Ph2, n=41). A total of 549 genes were found to be differentially expressed in the first 48 h after the ACS-Ph1. Technical and biological validation further confirmed that ALOX15, AREG, BCL2A1, BCL2L1, CA1, COX7B, ECHDC3, IL18R1, IRS2, KCNE1, MMP9, MYL4 and TREML4, are differentially expressed in both phases of this study.

CONCLUSIONS: Transcriptomic analysis by microarray technology demonstrated differential expression during a 48 h time course suggesting a potential use of some of these genes as biomarkers for very early stages of ACS, as well as for monitoring early cardiac ischemic recovery.

VL - 421 U1 - https://www.ncbi.nlm.nih.gov/pubmed/23535507?dopt=Abstract ER - TY - JOUR T1 - Novel genes detected by transcriptional profiling from whole-blood cells in patients with early onset of acute coronary syndrome: Transcriptional profiling of acute coronary syndrome. JF - Clinica chimica acta; international journal of clinical chemistry Y1 - 2013 A1 - Silbiger, Vivian N A1 - Luchessi, André D A1 - Hirata, Rosário D C A1 - Lima-Neto, Lídio G A1 - Cavichioli, Débora A1 - Carracedo, Ángel A1 - Brión, Maria A1 - Joaquín Dopazo A1 - Garcia-Garcia, Francisco A1 - Dos Santos, Elizabete S A1 - Ramos, Rui F A1 - Sampaio, Marcelo F A1 - Armaganijan, Dikran A1 - Sousa, Amanda G M R A1 - Hirata, Mario H AB - {BACKGROUND: Genome-wide expression analysis using microarrays has been used as a research strategy to discovery new biomarkers and candidate genes for a number of diseases. We aim to find new biomarkers for the prediction of acute coronary syndrome (ACS) with a differentially expressed mRNA profiling approach using whole genomic expression analysis in a peripheral blood cell model from patients with early ACS. METHODS AND RESULTS: This study was carried out in two phases. On phase 1 a restricted clinical criteria (ACS-Ph1 ER - TY - JOUR T1 - Pathways systematically associated to Hirschsprung’s disease. JF - Orphanet journal of rare diseases Y1 - 2013 A1 - Fernández, Raquel M A1 - Bleda, Marta A1 - Luzón-Toro, Berta A1 - García-Alonso, Luz A1 - Arnold, Stacey A1 - Sribudiani, Yunia A1 - Besmond, Claude A1 - Lantieri, Francesca A1 - Doan, Betty A1 - Ceccherini, Isabella A1 - Lyonnet, Stanislas A1 - Hofstra, Robert Mw A1 - Chakravarti, Aravinda A1 - Antiňolo, Guillermo A1 - Joaquín Dopazo A1 - Borrego, Salud KW - GWAS KW - Hirschprung KW - network analysis KW - Pathway Based Analysis AB - Despite it has been reported that several loci are involved in Hirschsprung’s disease, the molecular basis of the disease remains yet essentially unknown. The study of collective properties of modules of functionally-related genes provides an efficient and sensitive statistical framework that can overcome sample size limitations in the study of rare diseases. Here, we present the extension of a previous study of a Spanish series of HSCR trios to an international cohort of 162 HSCR trios to validate the generality of the underlying functional basis of the Hirschsprung’s disease mechanisms previously found. The Pathway-Based Analysis (PBA) confirms a strong association of gene ontology (GO) modules related to signal transduction and its regulation, enteric nervous system (ENS) formation and other processes related to the disease. In addition, network analysis recovers sub-networks significantly associated to the disease, which contain genes related to the same functionalities, thus providing an independent validation of these findings. The functional profiles of association obtained for patients populations from different countries were compared to each other. While gene associations were different at each series, the main functional associations were identical in all the five populations. These observations would also explain the reported low reproducibility of associations of individual disease genes across populations. VL - 8 UR - http://www.ojrd.com/content/8/1/187/abstract ER - TY - JOUR T1 - Pathways systematically associated to Hirschsprung's disease. JF - Orphanet J Rare Dis Y1 - 2013 A1 - Fernández, Raquel M A1 - Bleda, Marta A1 - Luzón-Toro, Berta A1 - García-Alonso, Luz A1 - Arnold, Stacey A1 - Sribudiani, Yunia A1 - Besmond, Claude A1 - Lantieri, Francesca A1 - Doan, Betty A1 - Ceccherini, Isabella A1 - Lyonnet, Stanislas A1 - Hofstra, Robert Mw A1 - Chakravarti, Aravinda A1 - Antiňolo, Guillermo A1 - Dopazo, Joaquin A1 - Borrego, Salud KW - Female KW - Genetic Predisposition to Disease KW - Genotype KW - Hirschsprung Disease KW - Humans KW - Male KW - Polymorphism, Single Nucleotide AB -

Despite it has been reported that several loci are involved in Hirschsprung's disease, the molecular basis of the disease remains yet essentially unknown. The study of collective properties of modules of functionally-related genes provides an efficient and sensitive statistical framework that can overcome sample size limitations in the study of rare diseases. Here, we present the extension of a previous study of a Spanish series of HSCR trios to an international cohort of 162 HSCR trios to validate the generality of the underlying functional basis of the Hirschsprung's disease mechanisms previously found. The Pathway-Based Analysis (PBA) confirms a strong association of gene ontology (GO) modules related to signal transduction and its regulation, enteric nervous system (ENS) formation and other processes related to the disease. In addition, network analysis recovers sub-networks significantly associated to the disease, which contain genes related to the same functionalities, thus providing an independent validation of these findings. The functional profiles of association obtained for patients populations from different countries were compared to each other. While gene associations were different at each series, the main functional associations were identical in all the five populations. These observations would also explain the reported low reproducibility of associations of individual disease genes across populations.

VL - 8 U1 - https://www.ncbi.nlm.nih.gov/pubmed/24289864?dopt=Abstract ER - TY - JOUR T1 - Whole-exome sequencing identifies novel compound heterozygous mutations in USH2A in Spanish patients with autosomal recessive retinitis pigmentosa. JF - Molecular vision Y1 - 2013 A1 - Méndez-Vidal, Cristina A1 - González-del Pozo, María A1 - Vela-Boza, Alicia A1 - Santoyo-López, Javier A1 - López-Domingo, Francisco J A1 - Vázquez-Marouschek, Carmen A1 - Dopazo, Joaquin A1 - Borrego, Salud A1 - Antiňolo, Guillermo AB - PURPOSE: Retinitis pigmentosa (RP) is an inherited retinal dystrophy characterized by extreme genetic and clinical heterogeneity. Thus, the diagnosis is not always easily performed due to phenotypic and genetic overlap. Current clinical practices have focused on the systematic evaluation of a set of known genes for each phenotype, but this approach may fail in patients with inaccurate diagnosis or infrequent genetic cause. In the present study, we investigated the genetic cause of autosomal recessive RP (arRP) in a Spanish family in which the causal mutation has not yet been identified with primer extension technology and resequencing. METHODS: We designed a whole-exome sequencing (WES)-based approach using NimbleGen SeqCap EZ Exome V3 sample preparation kit and the SOLiD 5500×l next-generation sequencing platform. We sequenced the exomes of both unaffected parents and two affected siblings. Exome analysis resulted in the identification of 43,204 variants in the index patient. All variants passing filter criteria were validated with Sanger sequencing to confirm familial segregation and absence in the control population. In silico prediction tools were used to determine mutational impact on protein function and the structure of the identified variants. RESULTS: Novel Usher syndrome type 2A (USH2A) compound heterozygous mutations, c.4325T>C (p.F1442S) and c.15188T>G (p.L5063R), located in exons 20 and 70, respectively, were identified as probable causative mutations for RP in this family. Family segregation of the variants showed the presence of both mutations in all affected members and in two siblings who were apparently asymptomatic at the time of family ascertainment. Clinical reassessment confirmed the diagnosis of RP in these patients. CONCLUSIONS: Using WES, we identified two heterozygous novel mutations in USH2A as the most likely disease-causing variants in a Spanish family diagnosed with arRP in which the cause of the disease had not yet been identified with commonly used techniques. Our data reinforce the clinical role of WES in the molecular diagnosis of highly heterogeneous genetic diseases where conventional genetic approaches have previously failed in achieving a proper diagnosis. VL - 19 UR - http://www.molvis.org/molvis/v19/2187/ ER - TY - JOUR T1 - CellBase, a comprehensive collection of RESTful web services for retrieving relevant biological information from heterogeneous sources. JF - Nucleic acids research Y1 - 2012 A1 - Bleda, Marta A1 - Tárraga, Joaquín A1 - De Maria, Alejandro A1 - Salavert, Francisco A1 - García-Alonso, Luz A1 - Celma, Matilde A1 - Martin, Ainoha A1 - Dopazo, Joaquin A1 - Medina, Ignacio AB - During the past years, the advances in high-throughput technologies have produced an unprecedented growth in the number and size of repositories and databases storing relevant biological data. Today, there is more biological information than ever but, unfortunately, the current status of many of these repositories is far from being optimal. Some of the most common problems are that the information is spread out in many small databases; frequently there are different standards among repositories and some databases are no longer supported or they contain too specific and unconnected information. In addition, data size is increasingly becoming an obstacle when accessing or storing biological data. All these issues make very difficult to extract and integrate information from different sources, to analyze experiments or to access and query this information in a programmatic way. CellBase provides a solution to the growing necessity of integration by easing the access to biological data. CellBase implements a set of RESTful web services that query a centralized database containing the most relevant biological data sources. The database is hosted in our servers and is regularly updated. CellBase documentation can be found at http://docs.bioinfo.cipf.es/projects/cellbase. VL - 40 UR - http://nar.oxfordjournals.org/content/40/W1/W609.long ER - TY - JOUR T1 - Development, Characterization and Experimental Validation of a Cultivated Sunflower (Helianthus annuus L.) Gene Expression Oligonucleotide Microarray. JF - PloS one Y1 - 2012 A1 - Fernandez, Paula A1 - Soria, Marcelo A1 - Blesa, David A1 - Dirienzo, Julio A1 - Moschen, Sebastián A1 - Rivarola, Máximo A1 - Clavijo, Bernardo Jose A1 - Gonzalez, Sergio A1 - Peluffo, Lucila A1 - Príncipi, Dario A1 - Dosio, Guillermo A1 - Aguirrezabal, Luis A1 - Garcia-Garcia, Francisco A1 - Ana Conesa A1 - Hopp, Esteban A1 - Joaquín Dopazo A1 - Heinz, Ruth Amelia A1 - Paniego, Norma AB - Oligonucleotide-based microarrays with accurate gene coverage represent a key strategy for transcriptional studies in orphan species such as sunflower, H. annuus L., which lacks full genome sequences. The goal of this study was the development and functional annotation of a comprehensive sunflower unigene collection and the design and validation of a custom sunflower oligonucleotide-based microarray. A large scale EST (>130,000 ESTs) curation, assembly and sequence annotation was performed using Blast2GO (www.blast2go.de). The EST assembly comprises 41,013 putative transcripts (12,924 contigs and 28,089 singletons). The resulting Sunflower Unigen Resource (SUR version 1.0) was used to design an oligonucleotide-based Agilent microarray for cultivated sunflower. This microarray includes a total of 42,326 features: 1,417 Agilent controls, 74 control probes for sunflower replicated 10 times (740 controls) and 40,169 different non-control probes. Microarray performance was validated using a model experiment examining the induction of senescence by water deficit. Pre-processing and differential expression analysis of Agilent microarrays was performed using the Bioconductor limma package. The analyses based on p-values calculated by eBayes (p<0.01) allowed the detection of 558 differentially expressed genes between water stress and control conditions; from these, ten genes were further validated by qPCR. Over-represented ontologies were identified using FatiScan in the Babelomics suite. This work generated a curated and trustable sunflower unigene collection, and a custom, validated sunflower oligonucleotide-based microarray using Agilent technology. Both the curated unigene collection and the validated oligonucleotide microarray provide key resources for sunflower genome analysis, transcriptional studies, and molecular breeding for crop improvement. VL - 7 UR - http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0045899 ER - TY - JOUR T1 - Diversification of the expanded teleost-specific toll-like receptor family in Atlantic cod, Gadus morhua. JF - BMC Evol Biol Y1 - 2012 A1 - Sundaram, Arvind Y M A1 - Kiron, Viswanath A1 - Dopazo, Joaquin A1 - Fernandes, Jorge M O KW - Amino Acid Sequence KW - Animals KW - Binding Sites KW - Evolution, Molecular KW - Fish Diseases KW - Fish Proteins KW - Gadus morhua KW - Gene Expression Profiling KW - Genetic Variation KW - Gills KW - Head Kidney KW - Host-Pathogen Interactions KW - Models, Molecular KW - Molecular Sequence Data KW - Multigene Family KW - Phylogeny KW - Protein Structure, Tertiary KW - Reverse Transcriptase Polymerase Chain Reaction KW - Selection, Genetic KW - Sequence Analysis, DNA KW - Sequence Homology, Amino Acid KW - Temperature KW - Toll-Like Receptors KW - Vibrio AB -

BACKGROUND: Toll-like receptors (Tlrs) are major molecular pattern recognition receptors of the innate immune system. Atlantic cod (Gadus morhua) is the first vertebrate known to have lost most of the mammalian Tlr orthologues, particularly all bacterial recognising and other cell surface Tlrs. On the other hand, its genome encodes a unique repertoire of teleost-specific Tlrs. The aim of this study was to investigate if these duplicate Tlrs have been retained through adaptive evolution to compensate for the lack of other cell surface Tlrs in the cod genome.

RESULTS: In this study, one tlr21, 12 tlr22 and two tlr23 genes representing the teleost-specific Tlr family have been cloned and characterised in cod. Phylogenetic analysis grouped all tlr22 genes under a single clade, indicating that the multiple cod paralogues have arisen through lineage-specific duplications. All tlrs examined were transcribed in immune-related tissues as well as in stomach, gut and gonads of adult cod and were differentially expressed during early development. These tlrs were also differentially regulated following immune challenge by immersion with Vibrio anguillarum, indicating their role in the immune response. An increase in water temperature from 4 to 12°C was associated with a 5.5-fold down-regulation of tlr22d transcript levels in spleen. Maximum likelihood analysis with different evolution models revealed that tlr22 genes are under positive selection. A total of 24 codons were found to be positively selected, of which 19 are in the ligand binding region of ectodomain.

CONCLUSION: Positive selection pressure coupled with experimental evidence of differential expression strongly support the hypothesis that teleost-specific tlr paralogues in cod are undergoing neofunctionalisation and can recognise bacterial pathogen-associated molecular patterns to compensate for the lack of other cell surface Tlrs.

VL - 12 U1 - https://www.ncbi.nlm.nih.gov/pubmed/23273344?dopt=Abstract ER - TY - JOUR T1 - Evolutionary Genomics of Genes Involved in Olfactory Behavior in the Drosophila melanogaster Species Group. JF - Evolutionary bioinformatics online Y1 - 2012 A1 - Lavagnino, Nicolás A1 - Serra, François A1 - Arbiza, Leonardo A1 - Dopazo, Hernán A1 - Hasson, Esteban AB - Previous comparative genomic studies of genes involved in olfactory behavior in Drosophila focused only on particular gene families such as odorant receptor and/or odorant binding proteins. However, olfactory behavior has a complex genetic architecture that is orchestrated by many interacting genes. In this paper, we present a comparative genomic study of olfactory behavior in Drosophila including an extended set of genes known to affect olfactory behavior. We took advantage of the recent burst of whole genome sequences and the development of powerful statistical tools to analyze genomic data and test evolutionary and functional hypotheses of olfactory genes in the six species of the Drosophila melanogaster species group for which whole genome sequences are available. Our study reveals widespread purifying selection and limited incidence of positive selection on olfactory genes. We show that the pace of evolution of olfactory genes is mostly independent of the life cycle stage, and of the number of life cycle stages, in which they participate in olfaction. However, we detected a relationship between evolutionary rates and the position that the gene products occupy in the olfactory system, genes occupying central positions tend to be more constrained than peripheral genes. Finally, we demonstrate that specialization to one host does not seem to be associated with bursts of adaptive evolution in olfactory genes in D. sechellia and D. erecta, the two specialists species analyzed, but rather different lineages have idiosyncratic evolutionary histories in which both historical and ecological factors have been involved. VL - 8 UR - http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3273929/?tool=pubmed ER - TY - JOUR T1 - Extensive translatome remodeling during ER stress response in mammalian cells. JF - PLoS One Y1 - 2012 A1 - Ventoso, Iván A1 - Kochetov, Alex A1 - Montaner, David A1 - Dopazo, Joaquin A1 - Santoyo, Javier KW - Animals KW - Endoplasmic Reticulum Stress KW - Humans KW - Jurkat Cells KW - Mice KW - NIH 3T3 Cells KW - Oligonucleotide Array Sequence Analysis KW - Protein Biosynthesis KW - RNA, Messenger KW - Transcription, Genetic AB -

In this work we have described the translatome of two mammalian cell lines, NIH3T3 and Jurkat, by scoring the relative polysome association of ∼10,000 mRNA under normal and ER stress conditions. We have found that translation efficiencies of mRNA correlated poorly with transcript abundance, although a general tendency was observed so that the highest translation efficiencies were found in abundant mRNA. Despite the differences found between mouse (NIH3T3) and human (Jurkat) cells, both cell types share a common translatome composed by ∼800-900 mRNA that encode proteins involved in basic cellular functions. Upon stress, an extensive remodeling in translatomes was observed so that translation of ∼50% of mRNA was inhibited in both cell types, this effect being more dramatic for those mRNA that accounted for most of the cell translation. Interestingly, we found two subsets comprising 1000-1500 mRNA whose translation resisted or was induced by stress. Translation arrest resistant class includes many mRNA encoding aminoacyl tRNA synthetases, ATPases and enzymes involved in DNA replication and stress response such as BiP. This class of mRNA is characterized by high translation rates in both control and stress conditions. Translation inducible class includes mRNA whose translation was relieved after stress, showing a high enrichment in early response transcription factors of bZIP and zinc finger C2H2 classes. Unlike yeast, a general coordination between changes in translation and transcription upon stress (potentiation) was not observed in mammalian cells. Among the different features of mRNA analyzed, we found a relevant association of translation efficiency with the presence of upstream ATG in the 5'UTR and with the length of coding sequence of mRNA, and a looser association with other parameters such as the length and the G+C content of 5'UTR. A model for translatome remodeling during the acute phase of stress response in mammalian cells is proposed.

VL - 7 IS - 5 U1 - https://www.ncbi.nlm.nih.gov/pubmed/22574127?dopt=Abstract ER - TY - JOUR T1 - IL1β induces mesenchymal stem cells migration and leucocyte chemotaxis through NF-κB. JF - Stem Cell Rev Rep Y1 - 2012 A1 - Carrero, Rubén A1 - Cerrada, Inmaculada A1 - Lledó, Elisa A1 - Dopazo, Joaquin A1 - Garcia-Garcia, Francisco A1 - Rubio, Mari-Paz A1 - Trigueros, César A1 - Dorronsoro, Akaitz A1 - Ruiz-Sauri, Amparo A1 - Montero, José Anastasio A1 - Sepúlveda, Pilar KW - Cell Adhesion KW - Cell Movement KW - Cell Proliferation KW - Chemokines KW - Chemotaxis, Leukocyte KW - Collagen KW - Fibronectins KW - Gene Expression Profiling KW - Gene Knockdown Techniques KW - HEK293 Cells KW - Humans KW - I-kappa B Kinase KW - Inflammation Mediators KW - Intercellular Signaling Peptides and Proteins KW - Interleukin-1beta KW - Laminin KW - Leukocytes KW - Mesenchymal Stem Cells KW - NF-kappa B KW - Oligonucleotide Array Sequence Analysis KW - RNA Interference KW - Signal Transduction AB -

Mesenchymal stem cells are often transplanted into inflammatory environments where they are able to survive and modulate host immune responses through a poorly understood mechanism. In this paper we analyzed the responses of MSC to IL-1β: a representative inflammatory mediator. Microarray analysis of MSC treated with IL-1β revealed that this cytokine activateds a set of genes related to biological processes such as cell survival, cell migration, cell adhesion, chemokine production, induction of angiogenesis and modulation of the immune response. Further more detailed analysis by real-time PCR and functional assays revealed that IL-1β mainly increaseds the production of chemokines such as CCL5, CCL20, CXCL1, CXCL3, CXCL5, CXCL6, CXCL10, CXCL11 and CX(3)CL1, interleukins IL-6, IL-8, IL23A, IL32, Toll-like receptors TLR2, TLR4, CLDN1, metalloproteins MMP1 and MMP3, growth factors CSF2 and TNF-α, together with adhesion molecules ICAM1 and ICAM4. Functional analysis of MSC proliferation, migration and adhesion to extracellular matrix components revealed that IL-1β did not affect proliferation but also served to induce the secretion of trophic factors and adhesion to ECM components such as collagen and laminin. IL-1β treatment enhanced the ability of MSC to recruit monocytes and granulocytes in vitro. Blockade of NF-κβ transcription factor activation with IκB kinase beta (IKKβ) shRNA impaired MSC migration, adhesion and leucocyte recruitment, induced by IL-1β demonstrating that NF-κB pathway is an important downstream regulator of these responses. These findings are relevant to understanding the biological responses of MSC to inflammatory environments.

VL - 8 IS - 3 U1 - https://www.ncbi.nlm.nih.gov/pubmed/22467443?dopt=Abstract ER - TY - JOUR T1 - Inferring the regulatory network behind a gene expression experiment. JF - Nucleic Acids Res Y1 - 2012 A1 - Bleda, Marta A1 - Medina, Ignacio A1 - Alonso, Roberto A1 - De Maria, Alejandro A1 - Salavert, Francisco A1 - Dopazo, Joaquin KW - Binding Sites KW - Databases, Genetic KW - Fanconi Anemia KW - Gene Regulatory Networks KW - Internet KW - MicroRNAs KW - Software KW - Transcription Factors KW - Transcriptome AB -

Transcription factors (TFs) and miRNAs are the most important dynamic regulators in the control of gene expression in multicellular organisms. These regulatory elements play crucial roles in development, cell cycling and cell signaling, and they have also been associated with many diseases. The Regulatory Network Analysis Tool (RENATO) web server makes the exploration of regulatory networks easy, enabling a better understanding of functional modularity and network integrity under specific perturbations. RENATO is suitable for the analysis of the result of expression profiling experiments. The program analyses lists of genes and search for the regulators compatible with its activation or deactivation. Tests of single enrichment or gene set enrichment allow the selection of the subset of TFs or miRNAs significantly involved in the regulation of the query genes. RENATO also offers an interactive advanced graphical interface that allows exploring the regulatory network found.RENATO is available at: http://renato.bioinfo.cipf.es/.

VL - 40 IS - Web Server issue U1 - https://www.ncbi.nlm.nih.gov/pubmed/22693210?dopt=Abstract ER - TY - JOUR T1 - A map of human microRNA variation uncovers unexpectedly high levels of variability. JF - Genome medicine Y1 - 2012 A1 - Carbonell, José A1 - Alloza, Eva A1 - Arce, Pablo A1 - Borrego, Salud A1 - Santoyo, Javier A1 - Ruiz-Ferrer, Macarena A1 - Medina, Ignacio A1 - Jiménez-Almazán, Jorge A1 - Méndez-Vidal, Cristina A1 - González-del Pozo, María A1 - Vela, Alicia A1 - Bhattacharya, Shomi S A1 - Antiňolo, Guillermo A1 - Dopazo, Joaquin KW - NGS AB - ABSTRACT: BACKGROUND: MicroRNAs (miRNAs) are key components of the gene regulatory network in many species. During the past few years, these regulatory elements have been shown to be involved in an increasing number and range of diseases. Consequently, the compilation of a comprehensive map of natural variability in healthy population seems an obvious requirement for future research on miRNA-related pathologies. METHODS: Data on 14 populations from the 1000 Genomes Project were analysed, along with new data extracted from 60 exomes of healthy individuals from a southern Spain population, sequenced in the context of the Medical Genome Project, to derive an accurate map of miRNA variability. RESULTS: Despite the common belief that miRNAs are highly conserved elements, analysis of the sequences of the 1,152 individuals indicated that the observed level of variability is double what was expected. A total of 527 variants were found. Among these, 45 variants affected the recognition region of the corresponding miRNA and were found in 43 different miRNAs, 26 of which are known to be involved in 57 diseases. Different parts of the mature structure of the miRNA were affected to different degrees by variants, which suggests the existence of a selective pressure related to the relative functional impact of the change. Moreover, 41 variants showed a significant deviation from the Hardy-Weinberg equilibrium, which supports the existence of a selective process against some alleles. The average number of variants per individual in miRNAs was 28. CONCLUSIONS: Despite an expectation that miRNAs would be highly conserved genomic elements, our study reports a level of variability comparable to that observed for coding genes. VL - 4 UR - http://genomemedicine.com/content/4/8/62/abstract ER - TY - JOUR T1 - Select your SNPs (SYSNPs): a web tool for automatic and massive selection of SNPs. JF - International journal of data mining and bioinformatics Y1 - 2012 A1 - Lorente-Galdos, Belén A1 - Medina, Ignacio A1 - Morcillo-Suarez, Carlos A1 - Heredia, Txema A1 - Carreño-Torres, Angel A1 - Sangrós, Ricardo A1 - Alegre, Josep A1 - Pita, Guillermo A1 - Vellalta, Gemma A1 - Malats, Nuria A1 - Pisano, David G A1 - Joaquín Dopazo A1 - Navarro, Arcadi AB - Association studies are the choice approach in the discovery of the genomic basis of complex traits. To carry out such analysis, researchers frequently need to (1) select optimally informative sets of Single Nucleotide Polymorphisms (SNPs) in candidate regions and (2) annotate the results of associations found by means of genome-wide SNP arrays. These are complex tasks, since many criteria have to be considered, including the SNPs’ functional properties, technological information and haplotype frequencies in given populations. SYSNPs implements algorithms that allow for efficient and simultaneous consideration of all the relevant criteria to obtain sets of SNPs that properly cover arbitrarily large lists of genes or genomic regions. Complementarily, SYSNPs allows for comprehensive functional annotation of SNPs linked to any given marker SNP. SYSNPs dramatically reduces the effort needed for SNP selection from days of searching various databases to a few minutes using a simple browser. VL - 6 UR - http://inderscience.metapress.com/content/f76740x8071u513n/ ER - TY - JOUR T1 - SNPeffect 4.0: on-line prediction of molecular and structural effects of protein-coding variants. JF - Nucleic Acids Res Y1 - 2012 A1 - De Baets, Greet A1 - Van Durme, Joost A1 - Reumers, Joke A1 - Maurer-Stroh, Sebastian A1 - Vanhee, Peter A1 - Dopazo, Joaquin A1 - Schymkowitz, Joost A1 - Rousseau, Frederic KW - Databases, Protein KW - Humans KW - Internet KW - Meta-Analysis as Topic KW - Phenotype KW - Polymorphism, Single Nucleotide KW - Protein Conformation KW - Proteins AB -

Single nucleotide variants (SNVs) are, together with copy number variation, the primary source of variation in the human genome and are associated with phenotypic variation such as altered response to drug treatment and susceptibility to disease. Linking structural effects of non-synonymous SNVs to functional outcomes is a major issue in structural bioinformatics. The SNPeffect database (http://snpeffect.switchlab.org) uses sequence- and structure-based bioinformatics tools to predict the effect of protein-coding SNVs on the structural phenotype of proteins. It integrates aggregation prediction (TANGO), amyloid prediction (WALTZ), chaperone-binding prediction (LIMBO) and protein stability analysis (FoldX) for structural phenotyping. Additionally, SNPeffect holds information on affected catalytic sites and a number of post-translational modifications. The database contains all known human protein variants from UniProt, but users can now also submit custom protein variants for a SNPeffect analysis, including automated structure modeling. The new meta-analysis application allows plotting correlations between phenotypic features for a user-selected set of variants.

VL - 40 IS - Database issue U1 - https://www.ncbi.nlm.nih.gov/pubmed/22075996?dopt=Abstract ER - TY - JOUR T1 - Transdifferentiation of MALME-3M and MCF-7 Cells toward Adipocyte-like Cells is Dependent on Clathrin-mediated Endocytosis. JF - SpringerPlus Y1 - 2012 A1 - Carcel-Trullols, Jaime A1 - Aguilar-Gallardo, Cristóbal A1 - García-Alcalde, Fernando A1 - Pardo-Cea, Miguel Angel A1 - Dopazo, Joaquin A1 - Ana Conesa A1 - Simon, Carlos AB - ABSTRACT: Enforced cell transdifferentiation of human cancer cells is a promising alternative to conventional chemotherapy. We previously identified albumin-associated lipid- and, more specifically, saturated fatty acid-induced transdifferentiation programs in human cancer cells (HCCLs). In this study, we further characterized the adipocyte-like cells, resulting from the transdifferentiation of human cancer cell lines MCF-7 and MALME-3M, and proposed a common mechanistic approach for these transdifferentiating programs. We showed the loss of pigmentation in MALME-3M cells treated with albumin-associated lipids, based on electron microscopic analysis, and the overexpression of perilipin 2 (PLIN2) by western blotting in MALME-3M and MCF-7 cells treated with unsaturated fatty acids. Comparing the gene expression profiles of naive melanoma MALME-3M cells and albumin-associated lipid-treated cells, based on RNA sequencing, we confirmed the transcriptional upregulation of some key adipogenic gene markers and also an alternative splicing of the adipogenic master regulator PPARG, that is probably related to the reported up regulated expression of the protein. Most importantly, these results also showed the upregulation of genes responsible for Clathrin (CLTC) and other adaptor-related proteins. An increase in CLTC expression in the transdifferentiated cells was confirmed by western blotting. Inactivation of CLTC by chlorpromazine (CHP), an inhibitor of CTLC mediated endocytosis (CME), and gene silencing by siRNAs, partially reversed the accumulation of neutral lipids observed in the transdifferentiated cells. These findings give a deeper insight into the phenotypic changes observed in HCCL to adipocyte-like transdifferentiation and point towards CME as a key pathway in distinct transdifferentiation programs. DISCLOSURES: Simon C and Aguilar-Gallardo C are co-inventors of the International Patent Application No. PCT/EP2011/004941 entitled "Methods for tumor treatment and adipogenesis differentiation". VL - 1 UR - http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3725915/ ER - TY - JOUR T1 - VARIANT: Command Line, Web service and Web interface for fast and accurate functional characterization of variants found by Next-Generation Sequencing. JF - Nucleic Acids Res Y1 - 2012 A1 - Medina, Ignacio A1 - De Maria, Alejandro A1 - Bleda, Marta A1 - Salavert, Francisco A1 - Alonso, Roberto A1 - Gonzalez, Cristina Y A1 - Dopazo, Joaquin KW - Databases, Nucleic Acid KW - Genetic Variation KW - High-Throughput Nucleotide Sequencing KW - Internet KW - Molecular Sequence Annotation KW - mutation KW - Polymorphism, Single Nucleotide KW - Software KW - User-Computer Interface AB -

The massive use of Next-Generation Sequencing (NGS) technologies is uncovering an unexpected amount of variability. The functional characterization of such variability, particularly in the most common form of variation found, the Single Nucleotide Variants (SNVs), has become a priority that needs to be addressed in a systematic way. VARIANT (VARIant ANalyis Tool) reports information on the variants found that include consequence type and annotations taken from different databases and repositories (SNPs and variants from dbSNP and 1000 genomes, and disease-related variants from the Genome-Wide Association Study (GWAS) catalog, Online Mendelian Inheritance in Man (OMIM), Catalog of Somatic Mutations in Cancer (COSMIC) mutations, etc). VARIANT also produces a rich variety of annotations that include information on the regulatory (transcription factor or miRNA-binding sites, etc.) or structural roles, or on the selective pressures on the sites affected by the variation. This information allows extending the conventional reports beyond the coding regions and expands the knowledge on the contribution of non-coding or synonymous variants to the phenotype studied. Contrarily to other tools, VARIANT uses a remote database and operates through efficient RESTful Web Services that optimize search and transaction operations. In this way, local problems of installation, update or disk size limitations are overcome without the need of sacrifice speed (thousands of variants are processed per minute). VARIANT is available at: http://variant.bioinfo.cipf.es.

VL - 40 IS - Web Server issue U1 - https://www.ncbi.nlm.nih.gov/pubmed/22693211?dopt=Abstract ER - TY - JOUR T1 - Whole-genome bisulfite DNA sequencing of a DNMT3B mutant patient. JF - Epigenetics Y1 - 2012 A1 - Heyn, Holger A1 - Vidal, Enrique A1 - Sayols, Sergi A1 - Sanchez-Mut, Jose V A1 - Moran, Sebastian A1 - Medina, Ignacio A1 - Sandoval, Juan A1 - Simó-Riudalbas, Laia A1 - Szczesna, Karolina A1 - Huertas, Dori A1 - Gatto, Sole A1 - Matarazzo, Maria R A1 - Dopazo, Joaquin A1 - Esteller, Manel KW - B-Lymphocytes KW - Cell Line, Transformed KW - Child, Preschool KW - DNA (Cytosine-5-)-Methyltransferases KW - DNA Methylation KW - Epigenesis, Genetic KW - Face KW - Female KW - Genome, Human KW - High-Throughput Nucleotide Sequencing KW - Humans KW - Immunologic Deficiency Syndromes KW - mutation KW - Primary Immunodeficiency Diseases KW - Sequence Analysis, DNA KW - Sulfites AB -

The immunodeficiency, centromere instability and facial anomalies (ICF) syndrome is associated to mutations of the DNA methyl-transferase DNMT3B, resulting in a reduction of enzyme activity. Aberrant expression of immune system genes and hypomethylation of pericentromeric regions accompanied by chromosomal instability were determined as alterations driving the disease phenotype. However, so far only technologies capable to analyze single loci were applied to determine epigenetic alterations in ICF patients. In the current study, we performed whole-genome bisulphite sequencing to assess alteration in DNA methylation at base pair resolution. Genome-wide we detected a decrease of methylation level of 42%, with the most profound changes occurring in inactive heterochromatic regions, satellite repeats and transposons. Interestingly, transcriptional active loci and ribosomal RNA repeats escaped global hypomethylation. Despite a genome-wide loss of DNA methylation the epigenetic landscape and crucial regulatory structures were conserved. Remarkably, we revealed a mislocated activity of mutant DNMT3B to H3K4me1 loci resulting in hypermethylation of active promoters. Functionally, we could associate alterations in promoter methylation with the ICF syndrome immunodeficient phenotype by detecting changes in genes related to the B-cell receptor mediated maturation pathway.

VL - 7 IS - 6 U1 - https://www.ncbi.nlm.nih.gov/pubmed/22595875?dopt=Abstract ER - TY - JOUR T1 - B2G-FAR, a species centered GO annotation repository. JF - Bioinformatics (Oxford, England) Y1 - 2011 A1 - Götz, Stefan A1 - Arnold, Roland A1 - Sebastián-Leon, Patricia A1 - Martín-Rodríguez, Samuel A1 - Tischler, Patrick A1 - Jehl, Marc-André A1 - Joaquín Dopazo A1 - Rattei, Thomas A1 - Ana Conesa AB -

MOTIVATION: Functional genomics research has expanded enormously in the last decade thanks to the cost-reduction in high-throughput technologies and the development of computational tools that generate, standardize and share information on gene and protein function such as the Gene Ontology (GO). Nevertheless many biologists, especially working with non-model organisms, still suffer from non-existing or low coverage functional annotation, or simply struggle retrieving, summarizing and querying these data. RESULTS: The Blast2GO Functional Annotation Repository (B2G-FAR) is a bioinformatics resource envisaged to provide functional information for otherwise uncharacterized sequence-data and offers data-mining tools to analyze a larger repertoire of species than currently available. This new annotation resource has been created by applying the Blast2GO functional annotation engine in a strongly high-throughput manner to the entire space of public available sequences. The resulting repository contains GO term predictions for over 13.2 million non-redundant protein sequences based on BLAST search alignments from the SIMAP database. We generated GO annotation for approximately 150.000 different taxa making available the 2000 species with the highest coverage through B2G-FAR. A second section within B2G-FAR holds functional annotations for 17 non-model organism Affymetrix GeneChips. Conclusions: B2G-FAR provides easy access to exhaustive functional annotation for 2000 species offering a good balance between quality and quantity, thereby supporting functional genomics research especially in the case of non-model organisms. AVAILABILITY: The annotation resource is available at http://b2gfar.bioinfo.cipf.es. CONTACT: aconesa@cipf.es, sgoetz@cipf.es.

VL - 27 ER - TY - JOUR T1 - Differential Lipid Partitioning Between Adipocytes and Tissue Macrophages Modulates Macrophage Lipotoxicity and M2/M1 Polarization in Obese Mice. JF - Diabetes Y1 - 2011 A1 - Prieur, Xavier A1 - Mok, Crystal Y L A1 - Velagapudi, Vidya R A1 - Núñez, Vanessa A1 - Fuentes, Lucía A1 - Montaner, David A1 - Ishikawa, Ko A1 - Camacho, Alberto A1 - Barbarroja, Nuria A1 - O’Rahilly, Stephen A1 - Sethi, Jaswinder A1 - Dopazo, Joaquin A1 - Oresic, Matej A1 - Ricote, Mercedes A1 - Vidal-Puig, Antonio AB -

OBJECTIVE Obesity-associated insulin resistance is characterized by a state of chronic, low-grade inflammation that is associated with the accumulation of M1 proinflammatory macrophages in adipose tissue. Although different evidence explains the mechanisms linking the expansion of adipose tissue and adipose tissue macrophage (ATM) polarization, in the current study we investigated the concept of lipid-induced toxicity as the pathogenic link that could explain the trigger of this response. RESEARCH DESIGN AND METHODS We addressed this question using isolated ATMs and adipocytes from genetic and diet-induced murine models of obesity. Through transcriptomic and lipidomic analysis, we created a model integrating transcript and lipid species networks simultaneously occurring in adipocytes and ATMs and their reversibility by thiazolidinedione treatment. RESULTS We show that polarization of ATMs is associated with lipid accumulation and the consequent formation of foam cell-like cells in adipose tissue. Our study reveals that early stages of adipose tissue expansion are characterized by M2-polarized ATMs and that progressive lipid accumulation within ATMs heralds the M1 polarization, a macrophage phenotype associated with severe obesity and insulin resistance. Furthermore, rosiglitazone treatment, which promotes redistribution of lipids toward adipocytes and extends the M2 ATM polarization state, prevents the lipid alterations associated with M1 ATM polarization. CONCLUSIONS Our data indicate that the M1 ATM polarization in obesity might be a macrophage-specific manifestation of a more general lipotoxic pathogenic mechanism. This indicates that strategies to optimize fat deposition and repartitioning toward adipocytes might improve insulin sensitivity by preventing ATM lipotoxicity and M1 polarization.

VL - 60 ER - TY - JOUR T1 - Discovery of an ebolavirus-like filovirus in europe. JF - PLoS pathogens Y1 - 2011 A1 - Negredo, Ana A1 - Palacios, Gustavo A1 - Vázquez-Morón, Sonia A1 - González, Félix A1 - Dopazo, Hernán A1 - Molero, Francisca A1 - Juste, Javier A1 - Quetglas, Juan A1 - Savji, Nazir A1 - de la Cruz Martínez, Maria A1 - Herrera, Jesus Enrique A1 - Pizarro, Manuel A1 - Hutchison, Stephen K A1 - Echevarría, Juan E A1 - Lipkin, W Ian A1 - Tenorio, Antonio AB -

Filoviruses, amongst the most lethal of primate pathogens, have only been reported as natural infections in sub-Saharan Africa and the Philippines. Infections of bats with the ebolaviruses and marburgviruses do not appear to be associated with disease. Here we report identification in dead insectivorous bats of a genetically distinct filovirus, provisionally named Lloviu virus, after the site of detection, Cueva del Lloviu, in Spain.

VL - 7 ER - TY - JOUR T1 - Evolution of the biosynthesis of di-myo-inositol phosphate, a marker of adaptation to hot marine environments. JF - Environmental microbiology Y1 - 2011 A1 - Gonçalves, Luís G A1 - Borges, Nuno A1 - Serra, François A1 - Fernandes, Pedro L A1 - Dopazo, Hernán A1 - Santos, Helena AB -

The synthesis of di-myo-inositol phosphate (DIP), a common compatible solute in hyperthermophiles, involves the consecutive actions of inositol-1-phosphate cytidylyltransferase (IPCT) and di-myo-inositol phosphate phosphate synthase (DIPPS). In most cases, both activities are present in a single gene product, but separate genes are also found in a few organisms. Genes for IPCT and DIPPS were found in the genomes of 33 organisms, all with thermophilic/hyperthermophilic lifestyles. Phylogeny of IPCT/DIPPS revealed an incongruent topology with 16S RNA phylogeny, thus suggesting horizontal gene transfer. The phylogenetic tree of the DIPPS domain was rooted by using phosphatidylinositol phosphate synthase sequences as out-group. The root locates at the separation of genomes with fused and split genes. We propose that the gene encoding DIPPS was recruited from the biosynthesis of phosphatidylinositol. The last DIP-synthesizing ancestor harboured separated genes for IPCT and DIPPS and this architecture was maintained in a crenarchaeal lineage, and transferred by horizontal gene transfer to hyperthermophilic marine Thermotoga species. It is plausible that the driving force for the assembly of those two genes in the early ancestor is related to the acquired advantage of DIP producers to cope with high temperature. This work corroborates the view that Archaea were the first hyperthermophilic organisms.

ER - TY - JOUR T1 - An evolutionary trade-off between protein turnover rate and protein aggregation favors a higher aggregation propensity in fast degrading proteins. JF - PLoS computational biology Y1 - 2011 A1 - De Baets, Greet A1 - Reumers, Joke A1 - Delgado Blanco, Javier A1 - Dopazo, Joaquin A1 - Schymkowitz, Joost A1 - Rousseau, Frederic AB -

We previously showed the existence of selective pressure against protein aggregation by the enrichment of aggregation-opposing ’gatekeeper’ residues at strategic places along the sequence of proteins. Here we analyzed the relationship between protein lifetime and protein aggregation by combining experimentally determined turnover rates, expression data, structural data and chaperone interaction data on a set of more than 500 proteins. We find that selective pressure on protein sequences against aggregation is not homogeneous but that short-living proteins on average have a higher aggregation propensity and fewer chaperone interactions than long-living proteins. We also find that short-living proteins are more often associated to deposition diseases. These findings suggest that the efficient degradation of high-turnover proteins is sufficient to preclude aggregation, but also that factors that inhibit proteasomal activity, such as physiological ageing, will primarily affect the aggregation of short-living proteins.

VL - 7 ER - TY - JOUR T1 - Large-scale transcriptional profiling and functional assays reveal important roles for Rho-GTPase signalling and SCL during haematopoietic differentiation of human embryonic stem cells. JF - Hum Mol Genet Y1 - 2011 A1 - Yung, Sun A1 - Ledran, Maria A1 - Moreno-Gimeno, Inmaculada A1 - Conesa, Ana A1 - Montaner, David A1 - Dopazo, Joaquin A1 - Dimmick, Ian A1 - Slater, Nicholas J A1 - Marenah, Lamin A1 - Real, Pedro J A1 - Paraskevopoulou, Iliana A1 - Bisbal, Viviana A1 - Burks, Deborah A1 - Santibanez-Koref, Mauro A1 - Moreno, Ruben A1 - Mountford, Joanne A1 - Menendez, Pablo A1 - Armstrong, Lyle A1 - Lako, Majlinda KW - Acute Disease KW - Anemia, Hemolytic KW - Animals KW - Basic Helix-Loop-Helix Transcription Factors KW - Cell Differentiation KW - Cell Line KW - Cell Lineage KW - Cluster Analysis KW - Embryonic Stem Cells KW - Erythroid Cells KW - Flow Cytometry KW - Gene Expression Profiling KW - Hematopoietic Stem Cells KW - Humans KW - Mice KW - Myeloid Cells KW - Paracrine Communication KW - Proto-Oncogene Proteins KW - Reverse Transcriptase Polymerase Chain Reaction KW - rho GTP-Binding Proteins KW - Signal Transduction KW - Stem Cell Transplantation KW - T-Cell Acute Lymphocytic Leukemia Protein 1 KW - Transcriptome AB -

Understanding the transcriptional cues that direct differentiation of human embryonic stem cells (hESCs) and human-induced pluripotent stem cells to defined and functional cell types is essential for future clinical applications. In this study, we have compared transcriptional profiles of haematopoietic progenitors derived from hESCs at various developmental stages of a feeder- and serum-free differentiation method and show that the largest transcriptional changes occur during the first 4 days of differentiation. Data mining on the basis of molecular function revealed Rho-GTPase signalling as a key regulator of differentiation. Inhibition of this pathway resulted in a significant reduction in the numbers of emerging haematopoietic progenitors throughout the differentiation window, thereby uncovering a previously unappreciated role for Rho-GTPase signalling during human haematopoietic development. Our analysis indicated that SCL was the 11th most upregulated transcript during the first 4 days of the hESC differentiation process. Overexpression of SCL in hESCs promoted differentiation to meso-endodermal lineages, the emergence of haematopoietic and erythro-megakaryocytic progenitors and accelerated erythroid differentiation. Importantly, intrasplenic transplantation of SCL-overexpressing hESC-derived haematopoietic cells enhanced recovery from induced acute anaemia without significant cell engraftment, suggesting a paracrine-mediated effect.

VL - 20 IS - 24 U1 - https://www.ncbi.nlm.nih.gov/pubmed/21937587?dopt=Abstract ER - TY - JOUR T1 - Modeling human endometrial decidualization from the interaction between proteome and secretome. JF - The Journal of clinical endocrinology and metabolism Y1 - 2011 A1 - Garrido-Gomez, Tamara A1 - Dominguez, Francisco A1 - Lopez, Juan Antonio A1 - Camafeita, Emilio A1 - Quiñonero, Alicia A1 - Martinez-Conejero, Jose Antonio A1 - Pellicer, Antonio A1 - Ana Conesa A1 - Simon, Carlos AB -

Decidualization of the human endometrium, which involves morphological and biochemical modifications of the endometrial stromal cells (ESCs), is a prerequisite for adequate trophoblast invasion and placenta formation.

VL - 96 ER - TY - JOUR T1 - Mutation screening of multiple genes in Spanish patients with autosomal recessive retinitis pigmentosa by targeted resequencing. JF - PLoS One Y1 - 2011 A1 - González-del Pozo, María A1 - Borrego, Salud A1 - Barragán, Isabel A1 - Pieras, Juan I A1 - Santoyo, Javier A1 - Matamala, Nerea A1 - Naranjo, Belén A1 - Dopazo, Joaquin A1 - Antiňolo, Guillermo KW - Alleles KW - DNA Mutational Analysis KW - Exons KW - Genetic Variation KW - Genome KW - Hispanic or Latino KW - Humans KW - Introns KW - Language KW - mutation KW - Mutation, Missense KW - Oligonucleotide Array Sequence Analysis KW - Polymerase Chain Reaction KW - Reproducibility of Results KW - Retinitis pigmentosa KW - United States AB -

Retinitis Pigmentosa (RP) is a heterogeneous group of inherited retinal dystrophies characterised ultimately by the loss of photoreceptor cells. RP is the leading cause of visual loss in individuals younger than 60 years, with a prevalence of about 1 in 4000. The molecular genetic diagnosis of autosomal recessive RP (arRP) is challenging due to the large genetic and clinical heterogeneity. Traditional methods for sequencing arRP genes are often laborious and not easily available and a screening technique that enables the rapid detection of the genetic cause would be very helpful in the clinical practice. The goal of this study was to develop and apply microarray-based resequencing technology capable of detecting both known and novel mutations on a single high-throughput platform. Hence, the coding regions and exon/intron boundaries of 16 arRP genes were resequenced using microarrays in 102 Spanish patients with clinical diagnosis of arRP. All the detected variations were confirmed by direct sequencing and potential pathogenicity was assessed by functional predictions and frequency in controls. For validation purposes 4 positive controls for variants consisting of previously identified changes were hybridized on the array. As a result of the screening, we detected 44 variants, of which 15 are very likely pathogenic detected in 14 arRP families (14%). Finally, the design of this array can easily be transformed in an equivalent diagnostic system based on targeted enrichment followed by next generation sequencing.

VL - 6 IS - 12 U1 - https://www.ncbi.nlm.nih.gov/pubmed/22164218?dopt=Abstract ER - TY - JOUR T1 - myKaryoView: a light-weight client for visualization of genomic data. JF - PLoS One Y1 - 2011 A1 - Jimenez, Rafael C A1 - Salazar, Gustavo A A1 - Gel, Bernat A1 - Dopazo, Joaquin A1 - Mulder, Nicola A1 - Corpas, Manuel KW - Computer Graphics KW - Databases, Genetic KW - Genomics KW - Internet KW - Molecular Sequence Annotation KW - User-Computer Interface AB -

The Distributed Annotation System (DAS) is a protocol for easy sharing and integration of biological annotations. In order to visualize feature annotations in a genomic context a client is required. Here we present myKaryoView, a simple light-weight DAS tool for visualization of genomic annotation. myKaryoView has been specifically configured to help analyse data derived from personal genomics, although it can also be used as a generic genome browser visualization. Several well-known data sources are provided to facilitate comparison of known genes and normal variation regions. The navigation experience is enhanced by simultaneous rendering of different levels of detail across chromosomes. A simple interface is provided to allow searches for any SNP, gene or chromosomal region. User-defined DAS data sources may also be added when querying the system. We demonstrate myKaryoView capabilities for adding user-defined sources with a set of genetic profiles of family-related individuals downloaded directly from 23andMe. myKaryoView is a web tool for visualization of genomic data specifically designed for direct-to-consumer genomic data that uses publicly available data distributed throughout the Internet. It does not require data to be held locally and it is capable of rendering any feature as long as it conforms to DAS specifications. Configuration and addition of sources to myKaryoView can be done through the interface. Here we show a proof of principle of myKaryoView's ability to display personal genomics data with 23andMe genome data sources. The tool is available at: http://mykaryoview.com.

VL - 6 IS - 10 U1 - https://www.ncbi.nlm.nih.gov/pubmed/22046276?dopt=Abstract ER - TY - JOUR T1 - Natural selection on functional modules, a genome-wide analysis. JF - PLoS Comput Biol Y1 - 2011 A1 - Serra, François A1 - Arbiza, Leonardo A1 - Dopazo, Joaquin A1 - Dopazo, Hernán KW - Animals KW - Databases, Genetic KW - Drosophila KW - Genome, Insect KW - Genome-Wide Association Study KW - Genomics KW - Mammals KW - Phylogeny KW - Selection, Genetic KW - Sequence Analysis, DNA AB -

Classically, the functional consequences of natural selection over genomes have been analyzed as the compound effects of individual genes. The current paradigm for large-scale analysis of adaptation is based on the observed significant deviations of rates of individual genes from neutral evolutionary expectation. This approach, which assumed independence among genes, has not been able to identify biological functions significantly enriched in positively selected genes in individual species. Alternatively, pooling related species has enhanced the search for signatures of selection. However, grouping signatures does not allow testing for adaptive differences between species. Here we introduce the Gene-Set Selection Analysis (GSSA), a new genome-wide approach to test for evidences of natural selection on functional modules. GSSA is able to detect lineage specific evolutionary rate changes in a notable number of functional modules. For example, in nine mammal and Drosophilae genomes GSSA identifies hundreds of functional modules with significant associations to high and low rates of evolution. Many of the detected functional modules with high evolutionary rates have been previously identified as biological functions under positive selection. Notably, GSSA identifies conserved functional modules with many positively selected genes, which questions whether they are exclusively selected for fitting genomes to environmental changes. Our results agree with previous studies suggesting that adaptation requires positive selection, but not every mutation under positive selection contributes to the adaptive dynamical process of the evolution of species.

VL - 7 IS - 3 U1 - https://www.ncbi.nlm.nih.gov/pubmed/21390268?dopt=Abstract ER - TY - JOUR T1 - Phylemon 2.0: a suite of web-tools for molecular evolution, phylogenetics, phylogenomics and hypotheses testing. JF - Nucleic Acids Res Y1 - 2011 A1 - Sánchez, Rubén A1 - Serra, François A1 - Tárraga, Joaquín A1 - Medina, Ignacio A1 - Carbonell, José A1 - Pulido, Luis A1 - De Maria, Alejandro A1 - Capella-Gutíerrez, Salvador A1 - Huerta-Cepas, Jaime A1 - Gabaldón, Toni A1 - Dopazo, Joaquin A1 - Dopazo, Hernán KW - Evolution, Molecular KW - Genomics KW - Internet KW - Phylogeny KW - Sequence Alignment KW - Software AB -

Phylemon 2.0 is a new release of the suite of web tools for molecular evolution, phylogenetics, phylogenomics and hypotheses testing. It has been designed as a response to the increasing demand of molecular sequence analyses for experts and non-expert users. Phylemon 2.0 has several unique features that differentiates it from other similar web resources: (i) it offers an integrated environment that enables evolutionary analyses, format conversion, file storage and edition of results; (ii) it suggests further analyses, thereby guiding the users through the web server; and (iii) it allows users to design and save phylogenetic pipelines to be used over multiple genes (phylogenomics). Altogether, Phylemon 2.0 integrates a suite of 30 tools covering sequence alignment reconstruction and trimming; tree reconstruction, visualization and manipulation; and evolutionary hypotheses testing.

VL - 39 IS - Web Server issue U1 - https://www.ncbi.nlm.nih.gov/pubmed/21646336?dopt=Abstract ER - TY - JOUR T1 - Phylogenetic and in silico structural analysis of the Parkinson disease-related kinase PINK1. JF - Human mutation Y1 - 2011 A1 - Cardona, Fernando A1 - Sánchez-Mut, Jose Vicente A1 - Dopazo, Hernán A1 - Pérez-Tur, Jordi AB -

Parkinson disease (PD) is the second most common neurodegenerative disorder and is characterized by the loss of dopaminergic neurons in the substantia nigra. Mutations in PINK1 were shown to cause recessive familial PD, and today are proposed to be associated with the disease via mitochondrial dysfunction and oxidative damage. The PINK1 gene comprises eight exons, which encode a ubiquitously expressed 581 amino acid protein that contains an N-terminal mitochondrial targeting domain and a serine/threonine protein kinase. To better understand the relationship between PINK1 and PD we have first analyzed the evolutionary history of the gene showing its late emergence in evolution. In addition, we have modeled the three-dimensional structure of PINK1 and found some evidences that help to explain the effect of some PD-related mutations in this protein’s function.

VL - 32 ER - TY - JOUR T1 - Profiling the venom gland transcriptomes of Costa Rican snakes by 454 pyrosequencing. JF - BMC genomics Y1 - 2011 A1 - Durban, Jordi A1 - Juárez, Paula A1 - Angulo, Yamileth A1 - Lomonte, Bruno A1 - Flores-Diaz, Marietta A1 - Alape-Girón, Alberto A1 - Sasa, Mahmood A1 - Sanz, Libia A1 - Gutiérrez, José M A1 - Joaquín Dopazo A1 - Ana Conesa A1 - Calvete, Juan J AB -

A long term research goal of venomics, of applied importance for improving current antivenom therapy, but also for drug discovery, is to understand the pharmacological potential of venoms. Individually or combined, proteomic and transcriptomic studies have demonstrated their feasibility to explore in depth the molecular diversity of venoms. In the absence of genome sequence, transcriptomes represent also valuable searchable databases for proteomic projects.

VL - 12 ER - TY - JOUR T1 - Recent human evolution has shaped geographical differences in susceptibility to disease. JF - BMC genomics Y1 - 2011 A1 - Marigorta, Urko M A1 - Lao, Oscar A1 - Casals, Ferran A1 - Calafell, Francesc A1 - Morcillo-Suarez, Carlos A1 - Faria, Rui A1 - Bosch, Elena A1 - Serra, François A1 - Bertranpetit, Jaume A1 - Dopazo, Hernán A1 - Navarro, Arcadi AB -

Searching for associations between genetic variants and complex diseases has been a very active area of research for over two decades. More than 51,000 potential associations have been studied and published, a figure that keeps increasing, especially with the recent explosion of array-based Genome-Wide Association Studies. Even if the number of true associations described so far is high, many of the putative risk variants detected so far have failed to be consistently replicated and are widely considered false positives. Here, we focus on the world-wide patterns of replicability of published association studies.

VL - 12 ER - TY - JOUR T1 - Role of tomato BRANCHED1-like genes in the control of shoot branching. JF - The Plant journal : for cell and molecular biology Y1 - 2011 A1 - Martín-Trillo, Mar A1 - Grandío, Eduardo González A1 - Serra, François A1 - Marcel, Fabien A1 - Rodríguez-Buey, María Luisa A1 - Schmitz, Gregor A1 - Theres, Klaus A1 - Bendahmane, Abdelhafid A1 - Dopazo, Hernán A1 - Cubas, Pilar AB -

In angiosperms, shoot branching greatly determines overall plant architecture and affects fundamental aspects of plant life. Branching patterns are determined by genetic pathways conserved widely across angiosperms. In Arabidopsis thaliana (Brassicaceae, Rosidae) BRANCHED1 (BRC1) plays a central role in this process, acting locally to arrest axillary bud growth. In tomato (Solanum lycopersicum, Solanaceae, Asteridae) we have identified two BRC1-like paralogues, SlBRC1a and SlBRC1b. These genes are expressed in arrested axillary buds and both are down-regulated upon bud activation, although SlBRC1a is transcribed at much lower levels than SlBRC1b. Alternative splicing of SlBRC1a renders two transcripts that encode two BRC1-like proteins with different C-t domains due to a 3’-terminal frameshift. The phenotype of loss-of-function lines suggests that SlBRC1b has retained the ancestral role of BRC1 in shoot branch suppression. We have isolated the BRC1a and BRC1b genes of other Solanum species and have studied their evolution rates across the lineages. These studies indicate that, after duplication of an ancestral BRC1-like gene, BRC1b genes continued to evolve under a strong purifying selection that was consistent with the conserved function of SlBRC1b in shoot branching control. In contrast, the coding sequences of Solanum BRC1a genes have evolved at a higher evolution rate. Branch-site tests indicate that this difference does not reflect relaxation but rather positive selective pressure for adaptation.

VL - 67 ER - TY - JOUR T1 - Sexual selection halts the relaxation of protamine 2 among rodents. JF - PloS one Y1 - 2011 A1 - Lüke, Lena A1 - Vicens, Alberto A1 - Serra, François A1 - Luque-Larena, Juan Jose A1 - Dopazo, Hernán A1 - Roldan, Eduardo R S A1 - Gomendio, Montserrat AB - Sexual selection has been proposed as the driving force promoting the rapid evolutionary changes observed in some reproductive genes including protamines. We test this hypothesis in a group of rodents which show marked differences in the intensity of sexual selection. Levels of sperm competition were not associated with the evolutionary rates of protamine 1 but, contrary to expectations, were negatively related to the evolutionary rate of cleaved- and mature-protamine 2. Since both domains were found to be under relaxation, our findings reveal an unforeseen role of sexual selection: to halt the degree of degeneration that proteins within families may experience due to functional redundancy. The degree of relaxation of protamine 2 in this group of rodents is such that in some species it has become dysfunctional and it is not expressed in mature spermatozoa. In contrast, protamine 1 is functionally conserved but shows directed positive selection on specific sites which are functionally relevant such as DNA-anchoring domains and phosphorylation sites. We conclude that in rodents protamine 2 is under relaxation and that sexual selection removes deleterious mutations among species with high levels of sperm competition to maintain the protein functional and the spermatozoa competitive. VL - 6 UR - http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0029247 ER - TY - JOUR T1 - The three-dimensional folding of the α-globin gene domain reveals formation of chromatin globules. JF - Nature structural & molecular biology Y1 - 2011 A1 - Baù, Davide A1 - Sanyal, Amartya A1 - Lajoie, Bryan R A1 - Capriotti, Emidio A1 - Byron, Meg A1 - Lawrence, Jeanne B A1 - Dekker, Job A1 - Marti-Renom, Marc A AB -

We developed a general approach that combines chromosome conformation capture carbon copy (5C) with the Integrated Modeling Platform (IMP) to generate high-resolution three-dimensional models of chromatin at the megabase scale. We applied this approach to the ENm008 domain on human chromosome 16, containing the α-globin locus, which is expressed in K562 cells and silenced in lymphoblastoid cells (GM12878). The models accurately reproduce the known looping interactions between the α-globin genes and their distal regulatory elements. Further, we find using our approach that the domain folds into a single globular conformation in GM12878 cells, whereas two globules are formed in K562 cells. The central cores of these globules are enriched for transcribed genes, whereas nontranscribed chromatin is more peripheral. We propose that globule formation represents a higher-order folding state related to clustering of transcribed genes around shared transcription machineries, as previously observed by microscopy.

VL - 18 ER - TY - JOUR T1 - Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling. JF - Nucleic Acids Research Y1 - 2010 A1 - Medina, Ignacio A1 - Carbonell, José A1 - Pulido, Luis A1 - Madeira, Sara C A1 - Goetz, Stefan A1 - Ana Conesa A1 - Tárraga, Joaquín A1 - Pascual-Montano, Alberto A1 - Nogales-Cadenas, Ruben A1 - Santoyo, Javier A1 - García, Francisco A1 - Marbà, Martina A1 - Montaner, David A1 - Joaquín Dopazo KW - babelomics KW - gene expression KW - genotyping KW - gepas KW - GSA KW - GWAS AB -

Babelomics is a response to the growing necessity of integrating and analyzing different types of genomic data in an environment that allows an easy functional interpretation of the results. Babelomics includes a complete suite of methods for the analysis of gene expression data that include normalization (covering most commercial platforms), pre-processing, differential gene expression (case-controls, multiclass, survival or continuous values), predictors, clustering; large-scale genotyping assays (case controls and TDTs, and allows population stratification analysis and correction). All these genomic data analysis facilities are integrated and connected to multiple options for the functional interpretation of the experiments. Different methods of functional enrichment or gene set enrichment can be used to understand the functional basis of the experiment analyzed. Many sources of biological information, which include functional (GO, KEGG, Biocarta, Reactome, etc.), regulatory (Transfac, Jaspar, ORegAnno, miRNAs, etc.), text-mining or protein-protein interaction modules can be used for this purpose. Finally a tool for the de novo functional annotation of sequences has been included in the system. This provides support for the functional analysis of non-model species. Mirrors of Babelomics or command line execution of their individual components are now possible. Babelomics is available at http://www.babelomics.org.

VL - 38 UR - http://nar.oxfordjournals.org/content/38/suppl_2/W210.full ER - TY - JOUR T1 - Changes in the pattern of DNA methylation associate with twin discordance in systemic lupus erythematosus. JF - Genome research Y1 - 2010 A1 - Javierre, Biola M A1 - Fernandez, Agustin F A1 - Richter, Julia A1 - Fatima Al-Shahrour A1 - Martin-Subero, J Ignacio A1 - Rodriguez-Ubreva, Javier A1 - Berdasco, Maria A1 - Fraga, Mario F A1 - O’Hanlon, Terrance P A1 - Rider, Lisa G A1 - Jacinto, Filipe V A1 - Lopez-Longo, F Javier A1 - Dopazo, Joaquin A1 - Forn, Marta A1 - Peinado, Miguel A A1 - Carreño, Luis A1 - Sawalha, Amr H A1 - Harley, John B A1 - Siebert, Reiner A1 - Esteller, Manel A1 - Miller, Frederick W A1 - Ballestar, Esteban AB -

Monozygotic (MZ) twins are partially concordant for most complex diseases, including autoimmune disorders. Whereas phenotypic concordance can be used to study heritability, discordance suggests the role of non-genetic factors. In autoimmune diseases, environmentally driven epigenetic changes are thought to contribute to their etiology. Here we report the first high-throughput and candidate sequence analyses of DNA methylation to investigate discordance for autoimmune disease in twins. We used a cohort of MZ twins discordant for three diseases whose clinical signs often overlap: systemic lupus erythematosus (SLE), rheumatoid arthritis, and dermatomyositis. Only MZ twins discordant for SLE featured widespread changes in the DNA methylation status of a significant number of genes. Gene ontology analysis revealed enrichment in categories associated with immune function. Individual analysis confirmed the existence of DNA methylation and expression changes in genes relevant to SLE pathogenesis. These changes occurred in parallel with a global decrease in the 5-methylcytosine content that was concomitantly accompanied with changes in DNA methylation and expression levels of ribosomal RNA genes, although no changes in repetitive sequences were found. Our findings not only identify potentially relevant DNA methylation markers for the clinical characterization of SLE patients but also support the notion that epigenetic changes may be critical in the clinical manifestations of autoimmune disease.

VL - 20 ER - TY - JOUR T1 - Fine-scale evolution: genomic, phenotypic and ecological differentiation in two coexisting Salinibacter ruber strains. JF - The ISME journal Y1 - 2010 A1 - Peña, Arantxa A1 - Teeling, Hanno A1 - Huerta-Cepas, Jaime A1 - Santos, Fernando A1 - Yarza, Pablo A1 - Brito-Echeverría, Jocelyn A1 - Lucio, Marianna A1 - Schmitt-Kopplin, Philippe A1 - Meseguer, Inmaculada A1 - Schenowitz, Chantal A1 - Dossat, Carole A1 - Barbe, Valerie A1 - Joaquín Dopazo A1 - Rosselló-Mora, Ramon A1 - Schüler, Margarete A1 - Glöckner, Frank Oliver A1 - Amann, Rudolf A1 - Gabaldón, Toni A1 - Antón, Josefa AB -

Genomic and metagenomic data indicate a high degree of genomic variation within microbial populations, although the ecological and evolutive meaning of this microdiversity remains unknown. Microevolution analyses, including genomic and experimental approaches, are so far very scarce for non-pathogenic bacteria. In this study, we compare the genomes, metabolomes and selected ecological traits of the strains M8 and M31 of the hyperhalophilic bacterium Salinibacter ruber that contain ribosomal RNA (rRNA) gene and intergenic regions that are identical in sequence and were simultaneously isolated from a Mediterranean solar saltern. Comparative analyses indicate that S. ruber genomes present a mosaic structure with conserved and hypervariable regions (HVRs). The HVRs or genomic islands, are enriched in transposases, genes related to surface properties, strain-specific genes and highly divergent orthologous. However, the many indels outside the HVRs indicate that genome plasticity extends beyond them. Overall, 10% of the genes encoded in the M8 genome are absent from M31 and could stem from recent acquisitions. S. ruber genomes also harbor 34 genes located outside HVRs that are transcribed during standard growth and probably derive from lateral gene transfers with Archaea preceding the M8/M31 divergence. Metabolomic analyses, phage susceptibility and competition experiments indicate that these genomic differences cannot be considered neutral from an ecological perspective. The results point to the avoidance of competition by micro-niche adaptation and response to viral predation as putative major forces that drive microevolution within these Salinibacter strains. In addition, this work highlights the extent of bacterial functional diversity and environmental adaptation, beyond the resolution of the 16S rRNA and internal transcribed spacers regions.The ISME Journal advance online publication, 18 February 2010; doi:10.1038/ismej.2010.6.

ER - TY - JOUR T1 - FM19G11, a new hypoxia-inducible factor (HIF) modulator, affects stem cell differentiation status. JF - The Journal of biological chemistry Y1 - 2010 A1 - Moreno-Manzano, Victoria A1 - Rodríguez-Jiménez, Francisco J A1 - Aceña-Bonilla, Jose L A1 - Fustero-Lardíes, Santos A1 - Erceg, Slaven A1 - Dopazo, Joaquin A1 - Montaner, David A1 - Stojkovic, Miodrag A1 - Sánchez-Puelles, Jose M AB -

The biology of the alpha subunits of hypoxia-inducible factors (HIFalpha) has expanded from their role in angiogenesis to their current position in the self-renewal and differentiation of stem cells. The results reported in this article show the discovery of FM19G11, a novel chemical entity that inhibits HIFalpha proteins that repress target genes of the two alpha subunits, in various tumor cell lines as well as in adult and embryonic stem cell models from rodents and humans, respectively. FM19G11 inhibits at nanomolar range the transcriptional and protein expression of Oct4, Sox2, Nanog, and Tgf-alpha undifferentiating factors, in adult rat and human embryonic stem cells, FM19G11 activity occurs in ependymal progenitor stem cells from rats (epSPC), a cell model reported for spinal cord regeneration, which allows the progression of oligodendrocyte cell differentiation in a hypoxic environment, has created interest in its characterization for pharmacological research. Experiments using small interfering RNA showed a significant depletion in Sox2 protein only in the case of HIF2alpha silencing, but not in HIF1alpha-mediated ablation. Moreover, chromatin immunoprecipitation data, together with the significant presence of functional hypoxia response element consensus sequences in the promoter region of Sox2, strongly validated that this factor behaves as a target gene of HIF2alpha in epSPCs. FM19G11 causes a reduction of overall histone acetylation with significant repression of p300, a histone acetyltransferase required as a co-factor for HIF-transcription activation. Arrays carried out in the presence and absence of the inhibitor showed the predominant involvement of epigenetic-associated events mediated by the drug.

VL - 285 ER - TY - JOUR T1 - Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes. JF - Pharmacogenomics J Y1 - 2010 A1 - Shi, W A1 - Bessarabova, M A1 - Dosymbekov, D A1 - Dezso, Z A1 - Nikolskaya, T A1 - Dudoladova, M A1 - Serebryiskaya, T A1 - Bugrim, A A1 - Guryanov, A A1 - Brennan, R J A1 - Shah, R A1 - Dopazo, J A1 - Chen, M A1 - Deng, Y A1 - Shi, T A1 - Jurman, G A1 - Furlanello, C A1 - Thomas, R S A1 - Corton, J C A1 - Tong, W A1 - Shi, L A1 - Nikolsky, Y KW - Algorithms KW - Databases, Genetic KW - Endpoint Determination KW - Gene Expression Profiling KW - Genomics KW - Humans KW - Neural Networks, Computer KW - Oligonucleotide Array Sequence Analysis KW - Phenotype KW - Predictive Value of Tests KW - Proteins KW - Quality Control AB -

Gene expression signatures of toxicity and clinical response benefit both safety assessment and clinical practice; however, difficulties in connecting signature genes with the predicted end points have limited their application. The Microarray Quality Control Consortium II (MAQCII) project generated 262 signatures for ten clinical and three toxicological end points from six gene expression data sets, an unprecedented collection of diverse signatures that has permitted a wide-ranging analysis on the nature of such predictive models. A comprehensive analysis of the genes of these signatures and their nonredundant unions using ontology enrichment, biological network building and interactome connectivity analyses demonstrated the link between gene signatures and the biological basis of their predictive power. Different signatures for a given end point were more similar at the level of biological properties and transcriptional control than at the gene level. Signatures tended to be enriched in function and pathway in an end point and model-specific manner, and showed a topological bias for incoming interactions. Importantly, the level of biological similarity between different signatures for a given end point correlated positively with the accuracy of the signature predictions. These findings will aid the understanding, and application of predictive genomic signatures, and support their broader application in predictive medicine.

VL - 10 IS - 4 U1 - https://www.ncbi.nlm.nih.gov/pubmed/20676069?dopt=Abstract ER - TY - JOUR T1 - Functional genomics of 5- to 8-cell stage human embryos by blastomere single-cell cDNA analysis. JF - PLoS One Y1 - 2010 A1 - Galan, Amparo A1 - Montaner, David A1 - Póo, M Eugenia A1 - Valbuena, Diana A1 - Ruiz, Veronica A1 - Aguilar, Cristóbal A1 - Dopazo, Joaquin A1 - Simon, Carlos KW - Blastomeres KW - DNA, Complementary KW - Gene Expression Profiling KW - Genomics KW - Humans KW - Oligonucleotide Array Sequence Analysis AB -

Blastomere fate and embryonic genome activation (EGA) during human embryonic development are unsolved areas of high scientific and clinical interest. Forty-nine blastomeres from 5- to 8-cell human embryos have been investigated following an efficient single-cell cDNA amplification protocol to provide a template for high-density microarray analysis. The previously described markers, characteristic of Inner Cell Mass (ICM) (n = 120), stemness (n = 190) and Trophectoderm (TE) (n = 45), were analyzed, and a housekeeping pattern of 46 genes was established. All the human blastomeres from the 5- to 8-cell stage embryo displayed a common gene expression pattern corresponding to ICM markers (e.g., DDX3, FOXD3, LEFTY1, MYC, NANOG, POU5F1), stemness (e.g., POU5F1, DNMT3B, GABRB3, SOX2, ZFP42, TERT), and TE markers (e.g., GATA6, EOMES, CDX2, LHCGR). The EGA profile was also investigated between the 5-6- and 8-cell stage embryos, and compared to the blastocyst stage. Known genes (n = 92) such as depleted maternal transcripts (e.g., CCNA1, CCNB1, DPPA2) and embryo-specific activation (e.g., POU5F1, CDH1, DPPA4), as well as novel genes, were confirmed. In summary, the global single-cell cDNA amplification microarray analysis of the 5- to 8-cell stage human embryos reveals that blastomere fate is not committed to ICM or TE. Finally, new EGA features in human embryogenesis are presented.

VL - 5 IS - 10 U1 - https://www.ncbi.nlm.nih.gov/pubmed/21049019?dopt=Abstract ER - TY - JOUR T1 - Hypoxia promotes efficient differentiation of human embryonic stem cells to functional endothelium. JF - Stem Cells Y1 - 2010 A1 - Prado-Lopez, Sonia A1 - Conesa, Ana A1 - Armiñán, Ana A1 - Martínez-Losa, Magdalena A1 - Escobedo-Lucea, Carmen A1 - Gandia, Carolina A1 - Tarazona, Sonia A1 - Melguizo, Dario A1 - Blesa, David A1 - Montaner, David A1 - Sanz-González, Silvia A1 - Sepúlveda, Pilar A1 - Götz, Stefan A1 - O'Connor, José Enrique A1 - Moreno, Ruben A1 - Dopazo, Joaquin A1 - Burks, Deborah J A1 - Stojkovic, Miodrag KW - Angiopoietin-1 KW - Animals KW - biomarkers KW - Cell Culture Techniques KW - Cell Differentiation KW - Cell Hypoxia KW - Cell Transplantation KW - Cells, Cultured KW - Down-Regulation KW - Embryonic Stem Cells KW - Endothelial Cells KW - Gene Expression Profiling KW - Gene Expression Regulation KW - Humans KW - Male KW - Myocardial Infarction KW - Neovascularization, Physiologic KW - Oxygen KW - Pluripotent Stem Cells KW - Rats KW - Rats, Nude KW - Vascular Endothelial Growth Factor A AB -

Early development of mammalian embryos occurs in an environment of relative hypoxia. Nevertheless, human embryonic stem cells (hESC), which are derived from the inner cell mass of blastocyst, are routinely cultured under the same atmospheric conditions (21% O(2)) as somatic cells. We hypothesized that O(2) levels modulate gene expression and differentiation potential of hESC, and thus, we performed gene profiling of hESC maintained under normoxic or hypoxic (1% or 5% O(2)) conditions. Our analysis revealed that hypoxia downregulates expression of pluripotency markers in hESC but increases significantly the expression of genes associated with angio- and vasculogenesis including vascular endothelial growth factor and angiopoitein-like proteins. Consequently, we were able to efficiently differentiate hESC to functional endothelial cells (EC) by varying O(2) levels; after 24 hours at 5% O(2), more than 50% of cells were CD34+. Transplantation of resulting endothelial-like cells improved both systolic function and fractional shortening in a rodent model of myocardial infarction. Moreover, analysis of the infarcted zone revealed that transplanted EC reduced the area of fibrous scar tissue by 50%. Thus, use of hypoxic conditions to specify the endothelial lineage suggests a novel strategy for cellular therapies aimed at repair of damaged vasculature in pathologies such as cerebral ischemia and myocardial infarction.

VL - 28 IS - 3 U1 - https://www.ncbi.nlm.nih.gov/pubmed/20049902?dopt=Abstract ER - TY - JOUR T1 - Initial genomics of the human nucleolus. JF - PLoS genetics Y1 - 2010 A1 - Németh, Attila A1 - Ana Conesa A1 - Santoyo-López, Javier A1 - Medina, Ignacio A1 - Montaner, David A1 - Péterfia, Bálint A1 - Solovei, Irina A1 - Cremer, Thomas A1 - Dopazo, Joaquin A1 - Längst, Gernot KW - NGS KW - nucleolus AB -

We report for the first time the genomics of a nuclear compartment of the eukaryotic cell. 454 sequencing and microarray analysis revealed the pattern of nucleolus-associated chromatin domains (NADs) in the linear human genome and identified different gene families and certain satellite repeats as the major building blocks of NADs, which constitute about 4% of the genome. Bioinformatic evaluation showed that NAD-localized genes take part in specific biological processes, like the response to other organisms, odor perception, and tissue development. 3D FISH and immunofluorescence experiments illustrated the spatial distribution of NAD-specific chromatin within interphase nuclei and its alteration upon transcriptional changes. Altogether, our findings describe the nature of DNA sequences associated with the human nucleolus and provide insights into the function of the nucleolus in genome organization and establishment of nuclear architecture.

VL - 6 UR - http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1000889 ER - TY - JOUR T1 - The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. JF - Nature biotechnology Y1 - 2010 A1 - Shi, Leming A1 - Campbell, Gregory A1 - Jones, Wendell D A1 - Campagne, Fabien A1 - Wen, Zhining A1 - Walker, Stephen J A1 - Su, Zhenqiang A1 - Chu, Tzu-Ming A1 - Goodsaid, Federico M A1 - Pusztai, Lajos A1 - Shaughnessy, John D A1 - Oberthuer, André A1 - Thomas, Russell S A1 - Paules, Richard S A1 - Fielden, Mark A1 - Barlogie, Bart A1 - Chen, Weijie A1 - Du, Pan A1 - Fischer, Matthias A1 - Furlanello, Cesare A1 - Gallas, Brandon D A1 - Ge, Xijin A1 - Megherbi, Dalila B A1 - Symmans, W Fraser A1 - Wang, May D A1 - Zhang, John A1 - Bitter, Hans A1 - Brors, Benedikt A1 - Bushel, Pierre R A1 - Bylesjo, Max A1 - Chen, Minjun A1 - Cheng, Jie A1 - Cheng, Jing A1 - Chou, Jeff A1 - Davison, Timothy S A1 - Delorenzi, Mauro A1 - Deng, Youping A1 - Devanarayan, Viswanath A1 - Dix, David J A1 - Dopazo, Joaquin A1 - Dorff, Kevin C A1 - Elloumi, Fathi A1 - Fan, Jianqing A1 - Fan, Shicai A1 - Fan, Xiaohui A1 - Fang, Hong A1 - Gonzaludo, Nina A1 - Hess, Kenneth R A1 - Hong, Huixiao A1 - Huan, Jun A1 - Irizarry, Rafael A A1 - Judson, Richard A1 - Juraeva, Dilafruz A1 - Lababidi, Samir A1 - Lambert, Christophe G A1 - Li, Li A1 - Li, Yanen A1 - Li, Zhen A1 - Lin, Simon M A1 - Liu, Guozhen A1 - Lobenhofer, Edward K A1 - Luo, Jun A1 - Luo, Wen A1 - McCall, Matthew N A1 - Nikolsky, Yuri A1 - Pennello, Gene A A1 - Perkins, Roger G A1 - Philip, Reena A1 - Popovici, Vlad A1 - Price, Nathan D A1 - Qian, Feng A1 - Scherer, Andreas A1 - Shi, Tieliu A1 - Shi, Weiwei A1 - Sung, Jaeyun A1 - Thierry-Mieg, Danielle A1 - Thierry-Mieg, Jean A1 - Thodima, Venkata A1 - Trygg, Johan A1 - Vishnuvajjala, Lakshmi A1 - Wang, Sue Jane A1 - Wu, Jianping A1 - Wu, Yichao A1 - Xie, Qian A1 - Yousef, Waleed A A1 - Zhang, Liang A1 - Zhang, Xuegong A1 - Zhong, Sheng A1 - Zhou, Yiming A1 - Zhu, Sheng A1 - Arasappan, Dhivya A1 - Bao, Wenjun A1 - Lucas, Anne Bergstrom A1 - Berthold, Frank A1 - Brennan, Richard J A1 - Buness, Andreas A1 - Catalano, Jennifer G A1 - Chang, Chang A1 - Chen, Rong A1 - Cheng, Yiyu A1 - Cui, Jian A1 - Czika, Wendy A1 - Demichelis, Francesca A1 - Deng, Xutao A1 - Dosymbekov, Damir A1 - Eils, Roland A1 - Feng, Yang A1 - Fostel, Jennifer A1 - Fulmer-Smentek, Stephanie A1 - Fuscoe, James C A1 - Gatto, Laurent A1 - Ge, Weigong A1 - Goldstein, Darlene R A1 - Guo, Li A1 - Halbert, Donald N A1 - Han, Jing A1 - Harris, Stephen C A1 - Hatzis, Christos A1 - Herman, Damir A1 - Huang, Jianping A1 - Jensen, Roderick V A1 - Jiang, Rui A1 - Johnson, Charles D A1 - Jurman, Giuseppe A1 - Kahlert, Yvonne A1 - Khuder, Sadik A A1 - Kohl, Matthias A1 - Li, Jianying A1 - Li, Li A1 - Li, Menglong A1 - Li, Quan-Zhen A1 - Li, Shao A1 - Li, Zhiguang A1 - Liu, Jie A1 - Liu, Ying A1 - Liu, Zhichao A1 - Meng, Lu A1 - Madera, Manuel A1 - Martinez-Murillo, Francisco A1 - Medina, Ignacio A1 - Meehan, Joseph A1 - Miclaus, Kelci A1 - Moffitt, Richard A A1 - Montaner, David A1 - Mukherjee, Piali A1 - Mulligan, George J A1 - Neville, Padraic A1 - Nikolskaya, Tatiana A1 - Ning, Baitang A1 - Page, Grier P A1 - Parker, Joel A1 - Parry, R Mitchell A1 - Peng, Xuejun A1 - Peterson, Ron L A1 - Phan, John H A1 - Quanz, Brian A1 - Ren, Yi A1 - Riccadonna, Samantha A1 - Roter, Alan H A1 - Samuelson, Frank W A1 - Schumacher, Martin M A1 - Shambaugh, Joseph D A1 - Shi, Qiang A1 - Shippy, Richard A1 - Si, Shengzhu A1 - Smalter, Aaron A1 - Sotiriou, Christos A1 - Soukup, Mat A1 - Staedtler, Frank A1 - Steiner, Guido A1 - Stokes, Todd H A1 - Sun, Qinglan A1 - Tan, Pei-Yi A1 - Tang, Rong A1 - Tezak, Zivana A1 - Thorn, Brett A1 - Tsyganova, Marina A1 - Turpaz, Yaron A1 - Vega, Silvia C A1 - Visintainer, Roberto A1 - von Frese, Juergen A1 - Wang, Charles A1 - Wang, Eric A1 - Wang, Junwei A1 - Wang, Wei A1 - Westermann, Frank A1 - Willey, James C A1 - Woods, Matthew A1 - Wu, Shujian A1 - Xiao, Nianqing A1 - Xu, Joshua A1 - Xu, Lei A1 - Yang, Lun A1 - Zeng, Xiao A1 - Zhang, Jialu A1 - Zhang, Li A1 - Zhang, Min A1 - Zhao, Chen A1 - Puri, Raj K A1 - Scherf, Uwe A1 - Tong, Weida A1 - Wolfinger, Russell D AB -

Gene expression data from microarrays are being applied to predict preclinical and clinical endpoints, but the reliability of these predictions has not been established. In the MAQC-II project, 36 independent teams analyzed six microarray data sets to generate predictive models for classifying a sample with respect to one of 13 endpoints indicative of lung or liver toxicity in rodents, or of breast cancer, multiple myeloma or neuroblastoma in humans. In total, >30,000 models were built using many combinations of analytical methods. The teams generated predictive models without knowing the biological meaning of some of the endpoints and, to mimic clinical reality, tested the models on data that had not been used for training. We found that model performance depended largely on the endpoint and team proficiency and that different approaches generated models of similar performance. The conclusions and recommendations from MAQC-II should be useful for regulatory agencies, study committees and independent investigators that evaluate methods for global gene expression analysis.

VL - 28 UR - http://www.nature.com/nbt/journal/v28/n8/full/nbt.1665.html ER - TY - JOUR T1 - Mutation spectrum of EYS in Spanish patients with autosomal recessive retinitis pigmentosa. JF - Hum Mutat Y1 - 2010 A1 - Barragán, Isabel A1 - Borrego, Salud A1 - Pieras, Juan Ignacio A1 - González-del Pozo, María A1 - Santoyo, Javier A1 - Ayuso, Carmen A1 - Baiget, Montserrat A1 - Millán, José M A1 - Mena, Marcela A1 - Abd El-Aziz, Mai M A1 - Audo, Isabelle A1 - Zeitz, Christina A1 - Littink, Karin W A1 - Dopazo, Joaquin A1 - Bhattacharya, Shomi S A1 - Antiňolo, Guillermo KW - Amino Acid Sequence KW - Animals KW - Case-Control Studies KW - DNA Mutational Analysis KW - Drosophila Proteins KW - Evolution, Molecular KW - Eye Proteins KW - Female KW - Genes, Recessive KW - Genetic Variation KW - Humans KW - Male KW - Molecular Sequence Data KW - mutation KW - Pedigree KW - Polymorphism, Single Nucleotide KW - Protein Structure, Tertiary KW - Retinitis pigmentosa KW - Spain KW - Structural Homology, Protein AB -

Retinitis pigmentosa (RP) is a heterogeneous group of inherited retinal dystrophies characterised ultimately by the loss of photoreceptor cells. We have recently identified a new gene(EYS) encoding an ortholog of Drosophila space maker (spam) as a commonly mutated gene in autosomal recessive RP. In the present study, we report the identification of 73 sequence variations in EYS, of which 28 are novel. Of these, 42.9% (12/28) are very likely pathogenic, 17.9% (5/28)are possibly pathogenic, whereas 39.3% (11/28) are SNPs. In addition, we have detected 3 pathogenic changes previously reported in other populations. We are also presenting the characterisation of EYS homologues in different species, and a detailed analysis of the EYS domains, with the identification of an interesting novel feature: a putative coiled-coil domain.Majority of the mutations in the arRP patients have been found within the domain structures of EYS. The minimum observed prevalence of distinct EYS mutations in our group of patients is of 15.9% (15/94), confirming a major involvement of EYS in the pathogenesis of arRP in the Spanish population. Along with the detection of three recurrent mutations in Caucasian population, our hypothesis of EYS being the first prevalent gene in arRP has been reinforced in the present study.

VL - 31 IS - 11 U1 - https://www.ncbi.nlm.nih.gov/pubmed/21069908?dopt=Abstract ER - TY - JOUR T1 - Alignment of multiple protein structures based on sequence and structure features. JF - Protein engineering, design & selection : PEDS Y1 - 2009 A1 - Madhusudhan, M. S. A1 - Webb, Benjamin M A1 - Marti-Renom, Marc A A1 - Eswar, Narayanan A1 - Sali, Andrej AB -

Comparing the structures of proteins is crucial to gaining insight into protein evolution and function. Here, we align the sequences of multiple protein structures by a dynamic programming optimization of a scoring function that is a sum of an affine gap penalty and terms dependent on various sequence and structure features (SALIGN). The features include amino acid residue type, residue position, residue accessible surface area, residue secondary structure state and the conformation of a short segment centered on the residue. The multiple alignment is built by following the ’guide’ tree constructed from the matrix of all pairwise protein alignment scores. Importantly, the method does not depend on the exact values of various parameters, such as feature weights and gap penalties, because the optimal alignment across a range of parameter values is found. Using multiple structure alignments in the HOMSTRAD database, SALIGN was benchmarked against MUSTANG for multiple alignments as well as against TM-align and CE for pairwise alignments. On the average, SALIGN produces a 15% improvement in structural overlap over HOMSTRAD and 14% over MUSTANG, and yields more equivalent structural positions than TM-align and CE in 90% and 95% of cases, respectively. The utility of accurate multiple structure alignment is illustrated by its application to comparative protein structure modeling.

VL - 22 ER - TY - JOUR T1 - Exploring the antimicrobial action of a carbon monoxide-releasing compound through whole-genome transcription profiling of Escherichia coli. JF - Microbiology (Reading) Y1 - 2009 A1 - Nobre, Lígia S A1 - Al-Shahrour, Fátima A1 - Dopazo, Joaquin A1 - Saraiva, Lígia M KW - Biofilms KW - Carbon Monoxide KW - Escherichia coli KW - Escherichia coli Proteins KW - Gene Expression Profiling KW - Gene Expression Regulation, Bacterial KW - Genes, Bacterial KW - Genes, Regulator KW - Genetic Complementation Test KW - Methionine KW - Microbial Viability KW - mutation KW - Oligonucleotide Array Sequence Analysis KW - Organometallic Compounds KW - Phenotype KW - RNA, Bacterial AB -

We recently reported that carbon monoxide (CO) has bactericidal activity. To understand its mode of action we analysed the gene expression changes occurring when Escherichia coli, grown aerobically and anaerobically, is treated with the CO-releasing molecule CORM-2 (tricarbonyldichlororuthenium(II) dimer). Microarray analysis shows that the E. coli CORM-2 response is multifaceted, with a high number of differentially regulated genes spread through several functional categories, namely genes involved in inorganic ion transport and metabolism, regulators, and genes implicated in post-translational modification, such as chaperones. CORM-2 has a higher impact in E. coli cells grown anaerobically, as judged by the repression of genes belonging to eight functional classes which are not seen in the response of aerobically CORM-2-treated cells. The biological relevance of the variations caused by CORM-2 was substantiated by studying the CORM-2 sensitivity of selected E. coli mutants. The results show that the deletion of redox-sensing regulators SoxS and OxyR increased the sensitivity to CORM-2 and suggest that while SoxS plays an important role in protection against CORM-2 under both growth conditions, OxyR seems to participate only in the aerobic CORM-2 response. Under anaerobic conditions, we found that the heat-shock proteins IbpA and IbpB contribute to CORM-2 defence since the deletion of these genes increases the sensitivity of the strain. The induction of several met genes and the hypersensitivity to CORM-2 of the DeltametR, DeltametI and DeltametN mutant strains suggest that CO has effects on the methionine metabolism of E. coli. CORM-2 also affects the transcription of several E. coli biofilm-related genes and increases biofilm formation in E. coli. In particular, the absence of tqsA or bhsA increases the resistance of E. coli to CORM-2, and deletion of tsqA leads to a strain that has lost its capacity to form biofilm upon treatment with CORM-2. In spite of the relatively stable nature of the CO molecule, our results show that CO is able to trigger a significant alteration in the transcriptome of E. coli which necessarily has effects in several key metabolic pathways.

VL - 155 IS - Pt 3 U1 - https://www.ncbi.nlm.nih.gov/pubmed/19246752?dopt=Abstract ER - TY - JOUR T1 - Exploring the antimicrobial action of a carbon monoxide-releasing compound through whole-genome transcription profiling of Escherichia coli JF - Microbiology Y1 - 2009 A1 - Nobre, L. S. A1 - Fatima Al-Shahrour A1 - Dopazo, J. A1 - Saraiva, L. M. KW - Bacterial Genes KW - Bacterial/genetics KW - Biofilms Carbon Monoxide/*metabolism Escherichia coli/*genetics/metabolism Escherichia coli Proteins/genetics/metabolism *Gene Expression Profiling Gene Expression Regulation KW - Regulator Genetic Complementation Test Methionine/metabolism Microbial Viability Mutation Oligonucleotide Array Sequence Analysis Organometallic Compounds/*pharmacology Phenotype RNA AB -

We recently reported that carbon monoxide (CO) has bactericidal activity. To understand its mode of action we analysed the gene expression changes occurring when Escherichia coli, grown aerobically and anaerobically, is treated with the CO-releasing molecule CORM-2 (tricarbonyldichlororuthenium(II) dimer). Microarray analysis shows that the E. coli CORM-2 response is multifaceted, with a high number of differentially regulated genes spread through several functional categories, namely genes involved in inorganic ion transport and metabolism, regulators, and genes implicated in post-translational modification, such as chaperones. CORM-2 has a higher impact in E. coli cells grown anaerobically, as judged by the repression of genes belonging to eight functional classes which are not seen in the response of aerobically CORM-2-treated cells. The biological relevance of the variations caused by CORM-2 was substantiated by studying the CORM-2 sensitivity of selected E. coli mutants. The results show that the deletion of redox-sensing regulators SoxS and OxyR increased the sensitivity to CORM-2 and suggest that while SoxS plays an important role in protection against CORM-2 under both growth conditions, OxyR seems to participate only in the aerobic CORM-2 response. Under anaerobic conditions, we found that the heat-shock proteins IbpA and IbpB contribute to CORM-2 defence since the deletion of these genes increases the sensitivity of the strain. The induction of several met genes and the hypersensitivity to CORM-2 of the DeltametR, DeltametI and DeltametN mutant strains suggest that CO has effects on the methionine metabolism of E. coli. CORM-2 also affects the transcription of several E. coli biofilm-related genes and increases biofilm formation in E. coli. In particular, the absence of tqsA or bhsA increases the resistance of E. coli to CORM-2, and deletion of tsqA leads to a strain that has lost its capacity to form biofilm upon treatment with CORM-2. In spite of the relatively stable nature of the CO molecule, our results show that CO is able to trigger a significant alteration in the transcriptome of E. coli which necessarily has effects in several key metabolic pathways.

VL - 155 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=19246752 N1 -

Nobre, Ligia S Al-Shahrour, Fatima Dopazo, Joaquin Saraiva, Ligia M Research Support, Non-U.S. Gov’t England Microbiology (Reading, England) Microbiology. 2009 Mar;155(Pt 3):813-24.

ER - TY - JOUR T1 - Functional assessment of time course microarray data. JF - BMC Bioinformatics Y1 - 2009 A1 - Nueda, Maria José A1 - Sebastián, Patricia A1 - Tarazona, Sonia A1 - Garcia-Garcia, Francisco A1 - Dopazo, Joaquin A1 - Ferrer, Alberto A1 - Conesa, Ana KW - Computer Simulation KW - Gene Expression Profiling KW - Oligonucleotide Array Sequence Analysis KW - Time Factors AB -

MOTIVATION: Time-course microarray experiments study the progress of gene expression along time across one or several experimental conditions. Most developed analysis methods focus on the clustering or the differential expression analysis of genes and do not integrate functional information. The assessment of the functional aspects of time-course transcriptomics data requires the use of approaches that exploit the activation dynamics of the functional categories to where genes are annotated.

METHODS: We present three novel methodologies for the functional assessment of time-course microarray data. i) maSigFun derives from the maSigPro method, a regression-based strategy to model time-dependent expression patterns and identify genes with differences across series. maSigFun fits a regression model for groups of genes labeled by a functional class and selects those categories which have a significant model. ii) PCA-maSigFun fits a PCA model of each functional class-defined expression matrix to extract orthogonal patterns of expression change, which are then assessed for their fit to a time-dependent regression model. iii) ASCA-functional uses the ASCA model to rank genes according to their correlation to principal time expression patterns and assess functional enrichment on a GSA fashion. We used simulated and experimental datasets to study these novel approaches. Results were compared to alternative methodologies.

RESULTS: Synthetic and experimental data showed that the different methods are able to capture different aspects of the relationship between genes, functions and co-expression that are biologically meaningful. The methods should not be considered as competitive but they provide different insights into the molecular and functional dynamic events taking place within the biological system under study.

VL - 10 Suppl 6 U1 - https://www.ncbi.nlm.nih.gov/pubmed/19534758?dopt=Abstract ER - TY - JOUR T1 - Functional signatures identified in B-cell non-Hodgkin lymphoma profiles. JF - Leuk Lymphoma Y1 - 2009 A1 - Aggarwal, Mohit A1 - Sánchez-Beato, Margarita A1 - Gómez-López, Gonzalo A1 - Al-Shahrour, Fátima A1 - Martínez, Nerea A1 - Rodríguez, Antonia A1 - Ruiz-Ballesteros, Elena A1 - Camacho, Francisca I A1 - Pérez-Rosado, Alberto A1 - de la Cueva, Paloma A1 - Artiga, María J A1 - Pisano, David G A1 - Kimby, Eva A1 - Dopazo, Joaquin A1 - Villuendas, Raquel A1 - Piris, Miguel A KW - Adult KW - Cluster Analysis KW - Gene Expression Profiling KW - Gene Expression Regulation, Leukemic KW - Genetic Heterogeneity KW - Humans KW - Lymphoma, B-Cell KW - Neoplasm Proteins KW - Oligonucleotide Array Sequence Analysis KW - RNA, Messenger KW - RNA, Neoplasm KW - Transcription, Genetic AB -

Gene-expression profiling in B-cell lymphomas has provided crucial data on specific lymphoma types, which can contribute to the identification of essential lymphoma survival genes and pathways. In this study, the gene-expression profiling data of all major B-cell lymphoma types were analyzed by unsupervised clustering. The transcriptome classification so obtained, was explored using gene set enrichment analysis generating a heatmap for B-cell lymphoma that identifies common lymphoma survival mechanisms and potential therapeutic targets, recognizing sets of coregulated genes and functional pathways expressed in different lymphoma types. Some of the most relevant signatures (stroma, cell cycle, B-cell receptor (BCR)) are shared by multiple lymphoma types or subclasses. A specific attention was paid to the analysis of BCR and coregulated pathways, defining molecular heterogeneity within multiple B-cell lymphoma types.

VL - 50 IS - 10 U1 - https://www.ncbi.nlm.nih.gov/pubmed/19863341?dopt=Abstract ER - TY - CHAP T1 - Genómica Comparativa y Selección Natural. Aplicaciones en el Genoma Humano. Capítulo 1.6 T2 - Evolución y Adaptacón. 150 años después del Origen de las Especies Y1 - 2009 A1 - Serra, François A1 - Arbiza, L. A1 - H. Dopazo ED - H. Dopazo ED - Navarro, A. AB -

La búsqueda de los eventos adaptativos a nivel molecular que ha diferenciado el genoma humano del de nuestro pariente vivo más cercano, el chimpancé, ha sido una de las áreas de mayor investigación en genómica comparativa. Paralelamente, la predicción funcional de variantes genéticas en nuestra especie ha sido un área de intenso desarrollo en bioinformática. En este trabajo discutiremos resultados previos y otros más recientes que dan cuenta de estos desarrollos. Veremos que en todos los casos la estimación de las presiones selectivas a nivel de los genes individuales o de los residuos de las proteínas son el denominador común para discutir ambos aspectos. Finalmente mostraremos cómo el análisis de estas presiones selectivas por grupos funcionales de genes resulta una alternativa viable y con suficiente poder estadístico para el análisis de la adaptación y de las restricciones evolutivas a nivel genómico. 

JF - Evolución y Adaptacón. 150 años después del Origen de las Especies PB - Obrapropia. CY - Valencia ER - TY - JOUR T1 - A kernel for open source drug discovery in tropical diseases JF - PLoS Negl Trop Dis Y1 - 2009 A1 - Orti, L. A1 - Carbajo, R. J. A1 - Pieper, U. A1 - Eswar, N. A1 - Maurer, S. M. A1 - Rai, A. K. A1 - Taylor, G. A1 - Todd, M. H. A1 - Pineda-Lucena, A. A1 - Sali, A. A1 - M. A. Marti-Renom AB - BACKGROUND: Conventional patent-based drug development incentives work badly for the developing world, where commercial markets are usually small to non-existent. For this reason, the past decade has seen extensive experimentation with alternative R&D institutions ranging from private-public partnerships to development prizes. Despite extensive discussion, however, one of the most promising avenues-open source drug discovery-has remained elusive. We argue that the stumbling block has been the absence of a critical mass of preexisting work that volunteers can improve through a series of granular contributions. Historically, open source software collaborations have almost never succeeded without such "kernels". METHODOLOGY/PRINCIPAL FINDINGS: HERE, WE USE A COMPUTATIONAL PIPELINE FOR: (i) comparative structure modeling of target proteins, (ii) predicting the localization of ligand binding sites on their surfaces, and (iii) assessing the similarity of the predicted ligands to known drugs. Our kernel currently contains 143 and 297 protein targets from ten pathogen genomes that are predicted to bind a known drug or a molecule similar to a known drug, respectively. The kernel provides a source of potential drug targets and drug candidates around which an online open source community can nucleate. Using NMR spectroscopy, we have experimentally tested our predictions for two of these targets, confirming one and invalidating the other. CONCLUSIONS/SIGNIFICANCE: The TDI kernel, which is being offered under the Creative Commons attribution share-alike license for free and unrestricted use, can be accessed on the World Wide Web at http://www.tropicaldisease.org. We hope that the kernel will facilitate collaborative efforts towards the discovery of new drugs against parasites that cause tropical diseases. VL - 3 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=19381286 N1 - Orti, Leticia Carbajo, Rodrigo J Pieper, Ursula Eswar, Narayanan Maurer, Stephen M Rai, Arti K Taylor, Ginger Todd, Matthew H Pineda-Lucena, Antonio Sali, Andrej Marti-Renom, Marc A United States PLoS neglected tropical diseases PLoS Negl Trop Dis. 2009;3(4):e418. Epub 2009 Apr 21. ER - TY - JOUR T1 - A kernel for the Tropical Disease Initiative JF - Nat Biotechnol Y1 - 2009 A1 - Orti, L. A1 - Carbajo, R. J. A1 - Pieper, U. A1 - Eswar, N. A1 - Maurer, S. M. A1 - Rai, A. K. A1 - Taylor, G. A1 - Todd, M. H. A1 - Pineda-Lucena, A. A1 - Sali, A. A1 - M. A. Marti-Renom VL - 27 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=19352362 N1 -

Orti, Leticia Carbajo, Rodrigo J Pieper, Ursula Eswar, Narayanan Maurer, Stephen M Rai, Arti K Taylor, Ginger Todd, Matthew H Pineda-Lucena, Antonio Sali, Andrej Marti-Renom, Marc A P01 AI035707/AI/NIAID NIH HHS/United States P01 GM71790/GM/NIGMS NIH HHS/United States R01 GM54762/GM/NIGMS NIH HHS/United States U54 GM074945/GM/NIGMS NIH HHS/United States Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov’t United States Nature biotechnology Nat Biotechnol. 2009 Apr;27(4):320-1.

ER - TY - JOUR T1 - Membrane transporters and carbon metabolism implicated in chloride homeostasis differentiate salt stress responses in tolerant and sensitive Citrus rootstocks JF - Funct Integr Genomics Y1 - 2009 A1 - Brumos, J. A1 - Colmenero-Flores, J. M. A1 - A. Conesa A1 - Izquierdo, P. A1 - Sanchez, G. A1 - Iglesias, D. J. A1 - Lopez-Climent, M. F. A1 - Gomez-Cadenas, A. A1 - Talon, M. AB -

Salinity tolerance in Citrus is strongly related to leaf chloride accumulation. Both chloride homeostasis and specific genetic responses to Cl(-) toxicity are issues scarcely investigated in plants. To discriminate the transcriptomic network related to Cl(-) toxicity and salinity tolerance, we have used two Cl(-) salt treatments (NaCl and KCl) to perform a comparative microarray approach on two Citrus genotypes, the salt-sensitive Carrizo citrange, a poor Cl(-) excluder, and the tolerant Cleopatra mandarin, an efficient Cl(-) excluder. The data indicated that Cl(-) toxicity, rather than Na(+) toxicity and/or the concomitant osmotic perturbation, is the primary factor involved in the molecular responses of citrus plant leaves to salinity. A number of uncharacterized membrane transporter genes, like NRT1-2, were differentially regulated in the tolerant and the sensitive genotypes, suggesting its potential implication in Cl(-) homeostasis. Analyses of enriched functional categories showed that the tolerant rootstock induced wider stress responses in gene expression while repressing central metabolic processes such as photosynthesis and carbon utilization. These features were in agreement with phenotypic changes in the patterns of photosynthesis, transpiration, and stomatal conductance and support the concept that regulation of transpiration and its associated metabolic adjustments configure an adaptive response to salinity that reduces Cl(-) accumulation in the tolerant genotype.

UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=19190944 N1 -

Journal article Functional & integrative genomics Funct Integr Genomics. 2009 Feb 4.

ER - TY - JOUR T1 - MODBASE, a database of annotated comparative protein structure models and associated resources JF - Nucleic Acids Res Y1 - 2009 A1 - Pieper, U. A1 - Eswar, N. A1 - Webb, B. M. A1 - Eramian, D. A1 - Kelly, L. A1 - Barkan, D. T. A1 - Carter, H. A1 - Mankoo, P. A1 - Karchin, R. A1 - M. A. Marti-Renom A1 - Davis, F. P. A1 - Sali, A. KW - *Databases KW - Molecular Mutation Polymorphism KW - Protein Genomics Humans Ligands *Models KW - Protein User-Computer Interface KW - Single Nucleotide Protein Folding Protein Interaction Domains and Motifs *Protein Structure KW - Tertiary Proteins/genetics *Structural Homology AB - MODBASE (http://salilab.org/modbase) is a database of annotated comparative protein structure models. The models are calculated by MODPIPE, an automated modeling pipeline that relies primarily on MODELLER for fold assignment, sequence-structure alignment, model building and model assessment (http:/salilab.org/modeller). MODBASE currently contains 5,152,695 reliable models for domains in 1,593,209 unique protein sequences; only models based on statistically significant alignments and/or models assessed to have the correct fold are included. MODBASE also allows users to calculate comparative models on demand, through an interface to the MODWEB modeling server (http://salilab.org/modweb). Other resources integrated with MODBASE include databases of multiple protein structure alignments (DBAli), structurally defined ligand binding sites (LIGBASE), predicted ligand binding sites (AnnoLyze), structurally defined binary domain interfaces (PIBASE) and annotated single nucleotide polymorphisms and somatic mutations found in human proteins (LS-SNP, LS-Mut). MODBASE models are also available through the Protein Model Portal (http://www.proteinmodelportal.org/). VL - 37 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18948282 N1 - Pieper, Ursula Eswar, Narayanan Webb, Ben M Eramian, David Kelly, Libusha Barkan, David T Carter, Hannah Mankoo, Parminder Karchin, Rachel Marti-Renom, Marc A Davis, Fred P Sali, Andrej GM08284/GM/NIGMS NIH HHS/United States P01 GM71790/GM/NIGMS NIH HHS/United States R01 GM54762/GM/NIGMS NIH HHS/United States U01 GM61390/GM/NIGMS NIH HHS/United States U54 GM074929/GM/NIGMS NIH HHS/United States U54 GM074945/GM/NIGMS NIH HHS/United States Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov’t Research Support, U.S. Gov’t, Non-P.H.S. England Nucleic acids research Nucleic Acids Res. 2009 Jan;37(Database issue):D347-54. Epub 2008 Oct 23. ER - TY - JOUR T1 - Modeling and managing experimental data using FuGE. JF - OMICS Y1 - 2009 A1 - Andrew R Jones A1 - Allyson L Lister A1 - Leandro Hermida A1 - Peter Wilkinson A1 - Martin Eisenacher A1 - Khalid Belhajjame A1 - Frank Gibson A1 - Phil Lord A1 - Matthew Pocock A1 - Heiko Rosenfelder A1 - Santoyo-López, Javier A1 - Anil Wipat A1 - Norman W Paton VL - 13 ER - TY - JOUR T1 - ModLink+: Improving fold recognition by using protein-protein interactions JF - Bioinformatics Y1 - 2009 A1 - Fornes, O. A1 - Aragues, R. A1 - Espadaler, J. A1 - M. A. Marti-Renom A1 - Sali, A. A1 - Oliva, B. KW - protein folding AB -

MOTIVATION: Several strategies have been developed to predict the fold of a target protein sequence, most of which are based on aligning the target sequence to other sequences of known structure. Previously, we demonstrated that the consideration of protein-protein interactions significantly increases the accuracy of fold assignment compared to PSI-BLAST sequence comparisons. A drawback of our method was the low number of proteins to which a fold could be assigned. Here, we present an improved version of the method that addresses this limitation. We also compare our method to other state-of-the-art fold assignment methodologies. RESULTS: Our approach (ModLink+) has been tested on 3,716 proteins with domain folds classified in the Structural Classification Of Proteins (SCOP) as well as known interacting partners in the Database of Interacting Proteins (DIP). For this test set, the ratio of success (PPV) on fold assignment increases from 75% for PSI-BLAST, 83% for HHSearch and 81% for PRC to more than 90% for ModLink+ at the e-value cutoff of 10(-3). Under this e-value, ModLink+ can assign a fold to 30-45% of the proteins in the test set, while our previous method could cover less than 25%. When applied to 6,384 proteins with unknown fold in the yeast proteome, ModLink+ combined with PSI-BLAST assigns a fold for domains in 3,738 proteins, while PSI-BLAST alone only covers 2,122 proteins, HHSearch 2,969 and PRC 2,826 proteins, using a threshold e-value that would represent a PPV higher than 82% for each method in the test set. AVAILABILITY: The ModLink+ server is freely accessible in the World Wide Web at http://sbi.imim.es/modlink/. CONTACT: boliva@imim.es.

UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=19357100 N1 -

Journal article Bioinformatics (Oxford, England) Bioinformatics. 2009 Apr 8.

ER - TY - JOUR T1 - Parallel changes in gene expression in peripheral blood mononuclear cells and the brain after maternal separation in the mouse. JF - BMC Res Notes Y1 - 2009 A1 - Johan H van Heerden A1 - Ana Conesa A1 - Dan J Stein A1 - Montaner, David A1 - Vivienne Russell A1 - Nicola Illing VL - 2 ER - TY - CONF T1 - Peripheral blood cells transcriptome to study new biomarkers for myocardial infarction follow up Y1 - 2009 A1 - Silbiger, Vivian A1 - Luchessi, André A1 - Hirata, Rosario A1 - Carracedo, Ángel A1 - Brión, Maria A1 - Lima Neto, Lidio A1 - P. Pastorelli, C A1 - Dopazo, Joaquin A1 - Montaner, David A1 - Garcia, F A1 - P. Sampaio, M A1 - P. Pereira, M A1 - S. Santos, E A1 - Armaganijan, Dikran A1 - Hirata, Mario ER - TY - JOUR T1 - Statistical methods for analysis of high-throughput RNA interference screens JF - Nature Methods Y1 - 2009 A1 - Birmingham, Amanda A1 - Selfors, Laura M A1 - Forster, Thorsten A1 - Wrobel, David A1 - Kennedy, Caleb J A1 - Shanks, Emma A1 - Santoyo-López, Javier A1 - Dunican, Dara J A1 - Long, Aideen A1 - Kelleher, Dermot A1 - Smith, Queta A1 - Beijersbergen, Roderick L A1 - Ghazal, Peter A1 - Shamu, Caroline E KW - gene silencing KW - regulation KW - siRNA PB - Nature Publishing Group VL - 6 SN - 1548-7091 UR - http://dx.doi.org/10.1038/nmeth.1351 N1 -

10.1038/nmeth.1351

ER - TY - CHAP T1 - Structural Comparison and Alignment T2 - Structural Bioinformatics Y1 - 2009 A1 - M. A. Marti-Renom A1 - E. Capriotti A1 - Shindyalov, I. A1 - Bourne, P. KW - Structural Bioinformatics JF - Structural Bioinformatics PB - Wiley-Blackwell CY - New Jersey. USA UR - http://www.amazon.com/gp/product/0470181052/ ER - TY - JOUR T1 - CLEAR-test: combining inference for differential expression and variability in microarray data analysis JF - J Biomed Inform Y1 - 2008 A1 - Valls, J. A1 - Grau, M. A1 - Sole, X. A1 - Hernandez, P. A1 - Montaner, D. A1 - Dopazo, J. A1 - Peinado, M. A. A1 - Capella, G. A1 - Moreno, V. A1 - Pujana, M. A. KW - *Algorithms Artificial Intelligence *Data Interpretation KW - Statistical Gene Expression Profiling/*methods Gene Expression Regulation/*physiology Oligonucleotide Array Sequence Analysis/*methods Proteome/*metabolism Signal Transduction/*physiology AB -

A common goal of microarray experiments is to detect genes that are differentially expressed under distinct experimental conditions. Several statistical tests have been proposed to determine whether the observed changes in gene expression are significant. The t-test assigns a score to each gene on the basis of changes in its expression relative to its estimated variability, in such a way that genes with a higher score (in absolute values) are more likely to be significant. Most variants of the t-test use the complete set of genes to influence the variance estimate for each single gene. However, no inference is made in terms of the variability itself. Here, we highlight the problem of low observed variances in the t-test, when genes with relatively small changes are declared differentially expressed. Alternatively, the z-test could be used although, unlike the t-test, it can declare differentially expressed genes with high observed variances. To overcome this, we propose to combine the z-test, which focuses on large changes, with a chi(2) test to evaluate variability. We call this procedure CLEAR-test and we provide a combined p-value that offers a compromise between both aspects. Analysis of three publicly available microarray datasets reveals the greater performance of the CLEAR-test relative to the t-test and alternative methods. Finally, empirical and simulated data analyses demonstrate the greater reproducibility and statistical power of the CLEAR-test and z-test with respect to current alternative methods. In addition, the CLEAR-test improves the z-test by capturing reproducible genes with high variability.

VL - 41 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17597009 N1 -

Valls, Joan Grau, Monica Sole, Xavier Hernandez, Pilar Montaner, David Dopazo, Joaquin Peinado, Miguel A Capella, Gabriel Moreno, Victor Pujana, Miguel Angel Comparative Study Research Support, Non-U.S. Gov’t United States Journal of biomedical informatics J Biomed Inform. 2008 Feb;41(1):33-45. Epub 2007 May 17.

ER - TY - JOUR T1 - Controlled ovarian stimulation induces a functional genomic delay of the endometrium with potential clinical implications JF - J Clin Endocrinol Metab Y1 - 2008 A1 - Horcajadas, J. A. A1 - Minguez, P. A1 - Dopazo, J. A1 - Esteban, F. J. A1 - Dominguez, F. A1 - Giudice, L. C. A1 - Pellicer, A. A1 - Simon, C. KW - Algorithms Chorionic Gonadotropin/genetics Endometrium/cytology/pathology/*physiology/physiopathology Female Gene Expression Regulation Genome KW - Human Glutathione Peroxidase/genetics Humans Insulin-Like Growth Factor Binding Proteins/genetics Luteal Phase/physiology Luteinizing Hormone/genetics Menstrual Cycle Oligonucleotide Array Sequence Analysis Ovulation Induction/*methods RNA/genetics/isola AB -

CONTEXT: Controlled ovarian stimulation induces morphological, biochemical, and functional genomic modifications of the human endometrium during the window of implantation. OBJECTIVE: Our objective was to compare the gene expression profile of the human endometrium in natural vs. controlled ovarian stimulation cycles throughout the early-mid secretory transition using microarray technology. METHOD: Microarray data from 49 endometrial biopsies obtained from LH+1 to LH+9 (n=25) in natural cycles and from human chorionic gonadotropin (hCG) +1 to hCG+9 in controlled ovarian stimulation cycles (n=24) were analyzed using different methods, such as clustering, profiling of biological processes, and selection of differentially expressed genes, as implemented in Gene Expression Pattern Analysis Suite and Babelomics programs. RESULTS: Endometria from natural cycles followed different genomic patterns compared with controlled ovarian stimulation cycles in the transition from the pre-receptive (days LH/hCG+1 until LH/hCG+5) to the receptive phase (day LH+7/hCG+7). Specifically, we have demonstrated the existence of a 2-d delay in the activation/repression of two clusters composed by 218 and 133 genes, respectively, on day hCG+7 vs. LH+7. Many of these delayed genes belong to the class window of implantation genes affecting basic biological processes in the receptive endometrium. CONCLUSIONS: These results demonstrate that gene expression profiling of the endometrium is different between natural and controlled ovarian stimulation cycles in the receptive phase. Identification of these differentially regulated genes can be used to understand the different developmental profiles of receptive endometrium during controlled ovarian stimulation and to search for the best controlled ovarian stimulation treatment in terms of minimal endometrial impact.

VL - 93 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18697870 N1 -

Horcajadas, Jose A Minguez, Pablo Dopazo, Joaquin Esteban, Francisco J Dominguez, Francisco Giudice, Linda C Pellicer, Antonio Simon, Carlos Research Support, Non-U.S. Gov’t United States The Journal of clinical endocrinology and metabolism J Clin Endocrinol Metab. 2008 Nov;93(11):4500-10. Epub 2008 Aug 12.

ER - TY - JOUR T1 - Interoperability with Moby 1.0--it's better than sharing your toothbrush! JF - Brief Bioinform Y1 - 2008 A1 - Wilkinson, Mark D A1 - Senger, Martin A1 - Kawas, Edward A1 - Bruskiewich, Richard A1 - Gouzy, Jerome A1 - Noirot, Celine A1 - Bardou, Philippe A1 - Ng, Ambrose A1 - Haase, Dirk A1 - Saiz, Enrique de Andres A1 - Wang, Dennis A1 - Gibbons, Frank A1 - Gordon, Paul M K A1 - Sensen, Christoph W A1 - Carrasco, Jose Manuel Rodriguez A1 - Fernández, José M A1 - Shen, Lixin A1 - Links, Matthew A1 - Ng, Michael A1 - Opushneva, Nina A1 - Neerincx, Pieter B T A1 - Leunissen, Jack A M A1 - Ernst, Rebecca A1 - Twigger, Simon A1 - Usadel, Bjorn A1 - Good, Benjamin A1 - Wong, Yan A1 - Stein, Lincoln A1 - Crosby, William A1 - Karlsson, Johan A1 - Royo, Romina A1 - Párraga, Iván A1 - Ramírez, Sergio A1 - Gelpi, Josep Lluis A1 - Trelles, Oswaldo A1 - Pisano, David G A1 - Jimenez, Natalia A1 - Kerhornou, Arnaud A1 - Rosset, Roman A1 - Zamacola, Leire A1 - Tárraga, Joaquín A1 - Huerta-Cepas, Jaime A1 - Carazo, Jose María A1 - Dopazo, Joaquin A1 - Guigó, Roderic A1 - Navarro, Arcadi A1 - Orozco, Modesto A1 - Valencia, Alfonso A1 - Claros, M Gonzalo A1 - Pérez, Antonio J A1 - Aldana, Jose A1 - Rojano, M Mar A1 - Fernandez-Santa Cruz, Raul A1 - Navas, Ismael A1 - Schiltz, Gary A1 - Farmer, Andrew A1 - Gessler, Damian A1 - Schoof, Heiko A1 - Groscurth, Andreas KW - Computational Biology KW - Database Management Systems KW - Databases, Factual KW - Information Storage and Retrieval KW - Internet KW - Programming Languages KW - Systems Integration AB -

The BioMoby project was initiated in 2001 from within the model organism database community. It aimed to standardize methodologies to facilitate information exchange and access to analytical resources, using a consensus driven approach. Six years later, the BioMoby development community is pleased to announce the release of the 1.0 version of the interoperability framework, registry Application Programming Interface and supporting Perl and Java code-bases. Together, these provide interoperable access to over 1400 bioinformatics resources worldwide through the BioMoby platform, and this number continues to grow. Here we highlight and discuss the features of BioMoby that make it distinct from other Semantic Web Service and interoperability initiatives, and that have been instrumental to its deployment and use by a wide community of bioinformatics service providers. The standard, client software, and supporting code libraries are all freely available at http://www.biomoby.org/.

VL - 9 IS - 3 U1 - https://www.ncbi.nlm.nih.gov/pubmed/18238804?dopt=Abstract ER - TY - JOUR T1 - Interoperability with Moby 1.0–it’s better than sharing your toothbrush! JF - Brief Bioinform Y1 - 2008 A1 - Wilkinson, M. D. A1 - Senger, M. A1 - Kawas, E. A1 - Bruskiewich, R. A1 - Gouzy, J. A1 - Noirot, C. A1 - Bardou, P. A1 - Ng, A. A1 - Haase, D. A1 - Saiz Ede, A. A1 - Wang, D. A1 - Gibbons, F. A1 - Gordon, P. M. A1 - Sensen, C. W. A1 - Carrasco, J. M. A1 - Fernandez, J. M. A1 - Shen, L. A1 - Links, M. A1 - Ng, M. A1 - Opushneva, N. A1 - Neerincx, P. B. A1 - Leunissen, J. A. A1 - Ernst, R. A1 - Twigger, S. A1 - Usadel, B. A1 - Good, B. A1 - Wong, Y. A1 - Stein, L. A1 - Crosby, W. A1 - Karlsson, J. A1 - Royo, R. A1 - Parraga, I. A1 - Ramirez, S. A1 - Gelpi, J. L. A1 - Trelles, O. A1 - Pisano, D. G. A1 - Jimenez, N. A1 - Kerhornou, A. A1 - Rosset, R. A1 - Zamacola, L. A1 - Tarraga, J. A1 - Huerta-Cepas, J. A1 - Carazo, J. M. A1 - Dopazo, J. A1 - R. Guigo A1 - Navarro, A. A1 - Orozco, M. A1 - Valencia, A. A1 - Claros, M. G. A1 - Perez, A. J. A1 - Aldana, J. A1 - Rojano, M. M. A1 - Fernandez-Santa Cruz, R. A1 - Navas, I. A1 - Schiltz, G. A1 - Farmer, A. A1 - Gessler, D. A1 - Schoof, H. A1 - Groscurth, A. KW - Computational Biology/*methods *Database Management Systems *Databases KW - Factual Information Storage and Retrieval/*methods *Internet *Programming Languages Systems Integration AB -

The BioMoby project was initiated in 2001 from within the model organism database community. It aimed to standardize methodologies to facilitate information exchange and access to analytical resources, using a consensus driven approach. Six years later, the BioMoby development community is pleased to announce the release of the 1.0 version of the interoperability framework, registry Application Programming Interface and supporting Perl and Java code-bases. Together, these provide interoperable access to over 1400 bioinformatics resources worldwide through the BioMoby platform, and this number continues to grow. Here we highlight and discuss the features of BioMoby that make it distinct from other Semantic Web Service and interoperability initiatives, and that have been instrumental to its deployment and use by a wide community of bioinformatics service providers. The standard, client software, and supporting code libraries are all freely available at http://www.biomoby.org/.

VL - 9 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18238804 N1 -

BioMoby Consortium Wilkinson, Mark D Senger, Martin Kawas, Edward Bruskiewich, Richard Gouzy, Jerome Noirot, Celine Bardou, Philippe Ng, Ambrose Haase, Dirk Saiz, Enrique de Andres Wang, Dennis Gibbons, Frank Gordon, Paul M K Sensen, Christoph W Carrasco, Jose Manuel Rodriguez Fernandez, Jose M Shen, Lixin Links, Matthew Ng, Michael Opushneva, Nina Neerincx, Pieter B T Leunissen, Jack A M Ernst, Rebecca Twigger, Simon Usadel, Bjorn Good, Benjamin Wong, Yan Stein, Lincoln Crosby, William Karlsson, Johan Royo, Romina Parraga, Ivan Ramirez, Sergio Gelpi, Josep Lluis Trelles, Oswaldo Pisano, David G Jimenez, Natalia Kerhornou, Arnaud Rosset, Roman Zamacola, Leire Tarraga, Joaquin Huerta-Cepas, Jaime Carazo, Jose Maria Dopazo, Joaquin Guigo, Roderic Navarro, Arcadi Orozco, Modesto Valencia, Alfonso Claros, M Gonzalo Perez, Antonio J Aldana, Jose Rojano, M Mar Fernandez-Santa Cruz, Raul Navas, Ismael Schiltz, Gary Farmer, Andrew Gessler, Damian Schoof, Heiko Groscurth, Andreas Research Support, Non-U.S. Gov’t Review England Briefings in bioinformatics Brief Bioinform. 2008 May;9(3):220-31. Epub 2008 Jan 31.

ER - TY - JOUR T1 - Joint annotation of coding and non-coding single nucleotide polymorphisms and mutations in the SNPeffect and PupaSuite databases. JF - Nucleic Acids Res Y1 - 2008 A1 - Reumers, Joke A1 - Conde, Lucia A1 - Medina, Ignacio A1 - Maurer-Stroh, Sebastian A1 - Van Durme, Joost A1 - Dopazo, Joaquin A1 - Rousseau, Frederic A1 - Schymkowitz, Joost KW - Amino Acid Substitution KW - Animals KW - Databases, Genetic KW - Genetic Diseases, Inborn KW - HSP70 Heat-Shock Proteins KW - Humans KW - Internet KW - Mice KW - MicroRNAs KW - mutation KW - Polymorphism, Single Nucleotide KW - Proteins KW - Rats KW - RNA Splice Sites KW - Transcription Factors AB -

Single nucleotide polymorphisms (SNPs) are, together with copy number variation, the primary source of variation in the human genome. SNPs are associated with altered response to drug treatment, susceptibility to disease and other phenotypic variation. Furthermore, during genetic screens for disease-associated mutations in groups of patients and control individuals, the distinction between disease causing mutation and polymorphism is often unclear. Annotation of the functional and structural implications of single nucleotide changes thus provides valuable information to interpret and guide experiments. The SNPeffect and PupaSuite databases are now synchronized to deliver annotations for both non-coding and coding SNP, as well as annotations for the SwissProt set of human disease mutations. In addition, SNPeffect now contains predictions of Tango2: an improved aggregation detector, and Waltz: a novel predictor of amyloid-forming sequences, as well as improved predictors for regions that are recognized by the Hsp70 family of chaperones. The new PupaSuite version incorporates predictions for SNPs in silencers and miRNAs including their targets, as well as additional methods for predicting SNPs in TFBSs and splice sites. Also predictions for mouse and rat genomes have been added. In addition, a PupaSuite web service has been developed to enable data access, programmatically. The combined database holds annotations for 4,965,073 regulatory as well as 133,505 coding human SNPs and 14,935 disease mutations, and phenotypic descriptions of 43,797 human proteins and is accessible via http://snpeffect.vib.be and http://pupasuite.bioinfo.cipf.es/.

VL - 36 IS - Database issue U1 - https://www.ncbi.nlm.nih.gov/pubmed/18086700?dopt=Abstract ER - TY - JOUR T1 - Joint annotation of coding and non-coding single nucleotide polymorphisms and mutations in the SNPeffect and PupaSuite databases JF - Nucleic Acids Res Y1 - 2008 A1 - Reumers, J. A1 - L. Conde A1 - Medina, Ignacio A1 - Maurer-Stroh, S. A1 - Van Durme, J. A1 - Dopazo, J. A1 - Rousseau, F. A1 - Schymkowitz, J. KW - Amino Acid Substitution Animals *Databases KW - Genetic Genetic Diseases KW - Inborn/genetics HSP70 Heat-Shock Proteins/metabolism Humans Internet Mice MicroRNAs/metabolism *Mutation *Polymorphism KW - Single Nucleotide Proteins/chemistry/genetics RNA Splice Sites Rats Transcription Factors/metabolism AB -

Single nucleotide polymorphisms (SNPs) are, together with copy number variation, the primary source of variation in the human genome. SNPs are associated with altered response to drug treatment, susceptibility to disease and other phenotypic variation. Furthermore, during genetic screens for disease-associated mutations in groups of patients and control individuals, the distinction between disease causing mutation and polymorphism is often unclear. Annotation of the functional and structural implications of single nucleotide changes thus provides valuable information to interpret and guide experiments. The SNPeffect and PupaSuite databases are now synchronized to deliver annotations for both non-coding and coding SNP, as well as annotations for the SwissProt set of human disease mutations. In addition, SNPeffect now contains predictions of Tango2: an improved aggregation detector, and Waltz: a novel predictor of amyloid-forming sequences, as well as improved predictors for regions that are recognized by the Hsp70 family of chaperones. The new PupaSuite version incorporates predictions for SNPs in silencers and miRNAs including their targets, as well as additional methods for predicting SNPs in TFBSs and splice sites. Also predictions for mouse and rat genomes have been added. In addition, a PupaSuite web service has been developed to enable data access, programmatically. The combined database holds annotations for 4,965,073 regulatory as well as 133,505 coding human SNPs and 14,935 disease mutations, and phenotypic descriptions of 43,797 human proteins and is accessible via http://snpeffect.vib.be and http://pupasuite.bioinfo.cipf.es/.

VL - 36 UR - http://nar.oxfordjournals.org/cgi/content/full/36/suppl_1/D825 N1 -

Reumers, Joke Conde, Lucia Medina, Ignacio Maurer-Stroh, Sebastian Van Durme, Joost Dopazo, Joaquin Rousseau, Frederic Schymkowitz, Joost Research Support, Non-U.S. Gov’t England Nucleic acids research Nucleic Acids Res. 2008 Jan;36(Database issue):D825-9. Epub 2007 Dec 17.

ER - TY - JOUR T1 - Prediction of enzyme function by combining sequence similarity and protein interactions JF - BMC Bioinformatics Y1 - 2008 A1 - Espadaler, J. A1 - Eswar, N. A1 - Querol, E. A1 - Aviles, F. X. A1 - Sali, A. A1 - M. A. Marti-Renom A1 - Oliva, B. KW - Amino Acid *Software Structure-Activity Relationship Substrate Specificity/genetics KW - Amino Acid Sequence/physiology Databases KW - Automated Predictive Value of Tests Protein Interaction Mapping Proteins/analysis/metabolism Sequence Alignment Sequence Analysis KW - Protein *Sequence Homology KW - Protein Enzymes/analysis/*metabolism Fuzzy Logic Pattern Recognition AB - BACKGROUND: A number of studies have used protein interaction data alone for protein function prediction. Here, we introduce a computational approach for annotation of enzymes, based on the observation that similar protein sequences are more likely to perform the same function if they share similar interacting partners. RESULTS: The method has been tested against the PSI-BLAST program using a set of 3,890 protein sequences from which interaction data was available. For protein sequences that align with at least 40% sequence identity to a known enzyme, the specificity of our method in predicting the first three EC digits increased from 80% to 90% at 80% coverage when compared to PSI-BLAST. CONCLUSION: Our method can also be used in proteins for which homologous sequences with known interacting partners can be detected. Thus, our method could increase 10% the specificity of genome-wide enzyme predictions based on sequence matching by PSI-BLAST alone. VL - 9 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18505562 N1 - Espadaler, Jordi Eswar, Narayanan Querol, Enrique Aviles, Francesc X Sali, Andrej Marti-Renom, Marc A Oliva, Baldomero GM54762/GM/NIGMS NIH HHS/United States GM71790/GM/NIGMS NIH HHS/United States GM74929/GM/NIGMS NIH HHS/United States GM74945/GM/NIGMS NIH HHS/United States Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov’t England BMC bioinformatics BMC Bioinformatics. 2008 May 27;9:249. ER - TY - JOUR T1 - SNP and haplotype mapping for genetic analysis in the rat JF - Nat Genet Y1 - 2008 A1 - K. Saar A1 - A. Beck A1 - M. T. Bihoreau A1 - E. Birney A1 - D. Brocklebank A1 - Y. Chen A1 - E. Cuppen A1 - S. Demonchy A1 - Dopazo, J. A1 - P. Flicek A1 - M. Foglio A1 - A. Fujiyama A1 - I. G. Gut A1 - D. Gauguier A1 - R. Guigo A1 - V. Guryev A1 - M. Heinig A1 - O. Hummel A1 - N. Jahn A1 - S. Klages A1 - V. Kren A1 - M. Kube A1 - H. Kuhl A1 - Kuramoto, T. A1 - Kuroki, Y. A1 - Lechner, D. A1 - Lee, Y. A. A1 - Lopez-Bigas, N. A1 - Lathrop, G. M. A1 - Mashimo, T. A1 - Medina, Ignacio A1 - Mott, R. A1 - Patone, G. A1 - Perrier-Cornet, J. A. A1 - Platzer, M. A1 - Pravenec, M. A1 - Reinhardt, R. A1 - Sakaki, Y. A1 - Schilhabel, M. A1 - Schulz, H. A1 - Serikawa, T. A1 - Shikhagaie, M. A1 - Tatsumoto, S. A1 - Taudien, S. A1 - Toyoda, A. A1 - Voigt, B. A1 - Zelenika, D. A1 - Zimdahl, H. A1 - Hubner, N. KW - Animals Chromosome Mapping *Databases KW - Genetic KW - Genetic Genome *Haplotypes Linkage Disequilibrium Phylogeny *Polymorphism KW - Inbred Strains/*genetics Recombination KW - Single Nucleotide *Quantitative Trait Loci Rats/*genetics Rats AB -

The laboratory rat is one of the most extensively studied model organisms. Inbred laboratory rat strains originated from limited Rattus norvegicus founder populations, and the inherited genetic variation provides an excellent resource for the correlation of genotype to phenotype. Here, we report a survey of genetic variation based on almost 3 million newly identified SNPs. We obtained accurate and complete genotypes for a subset of 20,238 SNPs across 167 distinct inbred rat strains, two rat recombinant inbred panels and an F2 intercross. Using 81% of these SNPs, we constructed high-density genetic maps, creating a large dataset of fully characterized SNPs for disease gene mapping. Our data characterize the population structure and illustrate the degree of linkage disequilibrium. We provide a detailed SNP map and demonstrate its utility for mapping of quantitative trait loci. This community resource is openly available and augments the genetic tools for this workhorse of physiological studies.

VL - 40 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18443594 N1 -

STAR Consortium Saar, Kathrin Beck, Alfred Bihoreau, Marie-Therese Birney, Ewan Brocklebank, Denise Chen, Yuan Cuppen, Edwin Demonchy, Stephanie Dopazo, Joaquin Flicek, Paul Foglio, Mario Fujiyama, Asao Gut, Ivo G Gauguier, Dominique Guigo, Roderic Guryev, Victor Heinig, Matthias Hummel, Oliver Jahn, Niels Klages, Sven Kren, Vladimir Kube, Michael Kuhl, Heiner Kuramoto, Takashi Kuroki, Yoko Lechner, Doris Lee, Young-Ae Lopez-Bigas, Nuria Lathrop, G Mark Mashimo, Tomoji Medina, Ignacio Mott, Richard Patone, Giannino Perrier-Cornet, Jeanne-Antide Platzer, Matthias Pravenec, Michal Reinhardt, Richard Sakaki, Yoshiyuki Schilhabel, Markus Schulz, Herbert Serikawa, Tadao Shikhagaie, Medya Tatsumoto, Shouji Taudien, Stefan Toyoda, Atsushi Voigt, Birger Zelenika, Diana Zimdahl, Heike Hubner, Norbert 057733/Z/99/A/Wellcome Trust/United Kingdom 066780/Z/01/Z/Wellcome Trust/United Kingdom Research Support, Non-U.S. Gov’t Technical Report United States Nature genetics Nat Genet. 2008 May;40(5):560-6.

ER - TY - JOUR T1 - SNP and haplotype mapping for genetic analysis in the rat. JF - Nat Genet Y1 - 2008 A1 - Saar, Kathrin A1 - Beck, Alfred A1 - Bihoreau, Marie-Thérèse A1 - Birney, Ewan A1 - Brocklebank, Denise A1 - Chen, Yuan A1 - Cuppen, Edwin A1 - Demonchy, Stephanie A1 - Dopazo, Joaquin A1 - Flicek, Paul A1 - Foglio, Mario A1 - Fujiyama, Asao A1 - Gut, Ivo G A1 - Gauguier, Dominique A1 - Guigó, Roderic A1 - Guryev, Victor A1 - Heinig, Matthias A1 - Hummel, Oliver A1 - Jahn, Niels A1 - Klages, Sven A1 - Kren, Vladimir A1 - Kube, Michael A1 - Kuhl, Heiner A1 - Kuramoto, Takashi A1 - Kuroki, Yoko A1 - Lechner, Doris A1 - Lee, Young-Ae A1 - Lopez-Bigas, Nuria A1 - Lathrop, G Mark A1 - Mashimo, Tomoji A1 - Medina, Ignacio A1 - Mott, Richard A1 - Patone, Giannino A1 - Perrier-Cornet, Jeanne-Antide A1 - Platzer, Matthias A1 - Pravenec, Michal A1 - Reinhardt, Richard A1 - Sakaki, Yoshiyuki A1 - Schilhabel, Markus A1 - Schulz, Herbert A1 - Serikawa, Tadao A1 - Shikhagaie, Medya A1 - Tatsumoto, Shouji A1 - Taudien, Stefan A1 - Toyoda, Atsushi A1 - Voigt, Birger A1 - Zelenika, Diana A1 - Zimdahl, Heike A1 - Hubner, Norbert KW - Animals KW - Chromosome Mapping KW - Databases, Genetic KW - Genome KW - Haplotypes KW - Linkage Disequilibrium KW - Phylogeny KW - Polymorphism, Single Nucleotide KW - Quantitative Trait Loci KW - Rats KW - Rats, Inbred Strains KW - Recombination, Genetic AB -

The laboratory rat is one of the most extensively studied model organisms. Inbred laboratory rat strains originated from limited Rattus norvegicus founder populations, and the inherited genetic variation provides an excellent resource for the correlation of genotype to phenotype. Here, we report a survey of genetic variation based on almost 3 million newly identified SNPs. We obtained accurate and complete genotypes for a subset of 20,238 SNPs across 167 distinct inbred rat strains, two rat recombinant inbred panels and an F2 intercross. Using 81% of these SNPs, we constructed high-density genetic maps, creating a large dataset of fully characterized SNPs for disease gene mapping. Our data characterize the population structure and illustrate the degree of linkage disequilibrium. We provide a detailed SNP map and demonstrate its utility for mapping of quantitative trait loci. This community resource is openly available and augments the genetic tools for this workhorse of physiological studies.

VL - 40 IS - 5 U1 - https://www.ncbi.nlm.nih.gov/pubmed/18443594?dopt=Abstract ER - TY - JOUR T1 - Time course profiling of the retinal transcriptome after optic nerve transection and optic nerve crush JF - Mol Vis Y1 - 2008 A1 - Agudo, M. A1 - Perez-Marin, M. C. A1 - Lonngren, U. A1 - Sobrado, P. A1 - A. Conesa A1 - Canovas, I. A1 - Salinas-Navarro, M. A1 - Miralles-Imperial, J. A1 - Hallbook, F. A1 - Vidal-Sanz, M. KW - Animals Cell Death Cluster Analysis Female *Gene Expression Profiling Gene Expression Regulation *Nerve Crush Optic Nerve/*metabolism/*pathology Optic Nerve Injuries/*genetics Rats Rats KW - Sprague-Dawley Reproducibility of Results Retina/*metabolism/*pathology Time Factors AB - PURPOSE: A time-course analysis of gene regulation in the adult rat retina after intraorbital nerve crush (IONC) and intraorbital nerve transection (IONT). METHODS: RNA was extracted from adult rat retinas undergoing either IONT or IONC at increasing times post-lesion. Affymetrix RAE230.2 arrays were hybridized and analyzed. Statistically regulated genes were annotated and functionally clustered. Arrays were validated by means of quantative reverse transcription polymerase chain reaction (qRT-PCR) on ten regulated genes at two times post-lesion. Western blotting and immunohistofluorescence for four pro-apoptotic proteins were performed on naive and injured retinas. Finally, custom signaling maps for IONT- and IONC-induced death response were generated (MetaCore, Genego Inc.). RESULTS: Here we show that over time, 3,219 sequences were regulated after IONT and 1,996 after IONC. Out of the total of regulated sequences, 1,078 were commonly regulated by both injuries. Interestingly, while IONT mainly triggers a gene upregulation-sustained over time, IONC causes a transitory downregulation. Functional clustering identified the regulation of high interest biologic processes, most importantly cell death wherein apoptosis was the most significant cluster. Ten death-related genes upregulated by both injuries were used for array validation by means of qRT-PCR. In addition, western blotting and immunohistofluorescence of total and active Caspase 3 (Casp3), tumor necrosis factor receptor type 1 associated death domain (TRADD), tumor necrosis factor receptor superfamily member 1a (TNFR1a), and c-fos were performed to confirm their protein regulation and expression pattern in naive and injured retinas. These analyses demonstrated that for these genes, protein regulation followed transcriptional regulation and that these pro-apoptotic proteins were expressed by retinal ganglion cells (RGCs). MetaCore-based death-signaling maps show that several apoptotic cascades were regulated in the retina following optic nerve injury and highlight the similarities and differences between IONT and IONC in cell death profiling. CONCLUSIONS: This comprehensive time course retinal transcriptome study comparing IONT and IONC lesions provides a unique valuable tool to understand the molecular mechanisms underlying optic nerve injury and to design neuroprotective protocols. VL - 14 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18552980 N1 - Agudo, Marta Perez-Marin, Maria Cruz Lonngren, Ulrika Sobrado, Paloma Conesa, Ana Canovas, Isabel Salinas-Navarro, Manuel Miralles-Imperial, Jaime Hallbook, Finn Vidal-Sanz, Manuel Research Support, Non-U.S. Gov’t United States Molecular vision Mol Vis. 2008 Jun 3;14:1050-63. ER - TY - JOUR T1 - Transcriptional profiling of mRNA expression in the mouse distal colon JF - Gastroenterology Y1 - 2008 A1 - Hoogerwerf, W. A. A1 - Sinha, M. A1 - A. Conesa A1 - Luxon, B. A. A1 - Shahinian, V. B. A1 - Cornelissen, G. A1 - Halberg, F. A1 - Bostwick, J. A1 - Timm, J. A1 - Cassone, V. M. KW - Animals Blotting KW - Genetic KW - Inbred C57BL Microarray Analysis Proteins/*genetics/metabolism RNA KW - Messenger/biosynthesis/*genetics Reverse Transcriptase Polymerase Chain Reaction *Transcription KW - Western Cell Proliferation Circadian Rhythm/*genetics Colon/cytology/*metabolism Male Mice Mice AB - BACKGROUND & AIMS: Intestinal epithelial cells and the myenteric plexus of the mouse gastrointestinal tract contain a circadian clock-based intrinsic time-keeping system. Because disruption of the biological clock has been associated with increased susceptibility to colon cancer and gastrointestinal symptoms, we aimed to identify rhythmically expressed genes in the mouse distal colon. METHODS: Microarray analysis was used to identify genes that were rhythmically expressed over a 24-hour light/dark cycle. The transcripts were then classified according to expression pattern, function, and association with physiologic and pathophysiologic processes of the colon. RESULTS: A circadian gene expression pattern was detected in approximately 3.7% of distal colonic genes. A large percentage of these genes were involved in cell signaling, differentiation, and proliferation and cell death. Of all the rhythmically expressed genes in the mouse colon, approximately 7% (64/906) have been associated with colorectal cancer formation (eg, B-cell leukemia/lymphoma-2 [Bcl2]) and 1.8% (18/906) with various colonic functions such as motility and secretion (eg, vasoactive intestinal polypeptide, cystic fibrosis transmembrane conductance regulator). CONCLUSIONS: A subset of genes in the murine colon follows a rhythmic expression pattern. These findings may have significant implications for colonic physiology and pathophysiology. VL - 135 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18848557 N1 - Hoogerwerf, Willemijntje A Sinha, Mala Conesa, Ana Luxon, Bruce A Shahinian, Vahakn B Cornelissen, Germaine Halberg, Franz Bostwick, Jonathon Timm, John Cassone, Vincent M R21 DK074477-01A1/DK/NIDDK NIH HHS/United States Comparative Study Research Support, N.I.H., Extramural United States Gastroenterology Gastroenterology. 2008 Dec;135(6):2019-29. Epub 2008 Sep 3. ER - TY - JOUR T1 - Transcriptome analysis provides new insights into liver changes induced in the rat upon dietary administration of the food additives butylated hydroxytoluene, curcumin, propyl gallate and thiabendazole JF - Food Chem Toxicol Y1 - 2008 A1 - Stierum, R. A1 - A. Conesa A1 - Heijne, W. A1 - Ommen, B. A1 - Junker, K. A1 - Scott, M. P. A1 - Price, R. J. A1 - Meredith, C. A1 - Lake, B. G. A1 - Groten, J. KW - Animals Aryl Hydrocarbon Hydroxylases/metabolism Body Weight/drug effects Butylated Hydroxytoluene/toxicity Curcumin/toxicity Cytochrome P-450 CYP1A2/metabolism Cytochrome P-450 CYP2B1/metabolism DNA KW - Complementary/biosynthesis/genetics Data Interpretation KW - Sprague-Dawley Reverse Transcriptase Polymerase Chain Reaction Steroid Hydroxylases/metabolism Thiabendazole/toxicity KW - Statistical *Diet Food Additives/*toxicity Gene Expression/drug effects *Gene Expression Profiling Glutathione Transferase/metabolism Liver/*drug effects Male Organ Size/drug effects Oxidation-Reduction Palmitoyl Coenzyme A/metabolism Propyl Gallate/toxi AB - Transcriptomics was performed to gain insight into mechanisms of food additives butylated hydroxytoluene (BHT), curcumin (CC), propyl gallate (PG), and thiabendazole (TB), additives for which interactions in the liver can not be excluded. Additives were administered in diets for 28 days to Sprague-Dawley rats and cDNA microarray experiments were performed on hepatic RNA. BHT induced changes in the expression of 10 genes, including phase I (CYP2B1/2; CYP3A9; CYP2C6) and phase II metabolism (GST mu2). The CYP2B1/2 and GST expression findings were confirmed by real time RT-PCR, western blotting, and increased GST activity towards DCNB. CC altered the expression of 12 genes. Three out of these were related to peroxisomes (phytanoyl-CoA dioxygenase, enoyl-CoA hydratase; CYP4A3). Increased cyanide insensitive palmitoyl-CoA oxidation was observed, suggesting that CC is a weak peroxisome proliferator. TB changed the expression of 12 genes, including CYP1A2. In line, CYP1A2 protein expression was increased. The expression level of five genes, associated with p53 was found to change upon TB treatment, including p53 itself, GADD45alpha, DN-7, protein kinase C beta and serum albumin. These array experiments led to the novel finding that TB is capable of inducing p53 at the protein level, at least at the highest dose levels employed above the current NOAEL. The expression of eight genes changed upon PG administration. This study shows the value of gene expression profiling in food toxicology in terms of generating novel hypotheses on the mechanisms of action of food additives in relation to pathology. VL - 46 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18539377 N1 - Stierum, Rob Conesa, Ana Heijne, Wilbert Ommen, Ben van Junker, Karin Scott, Mary P Price, Roger J Meredith, Clive Lake, Brian G Groten, John Research Support, Non-U.S. Gov’t England Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association Food Chem Toxicol. 2008 Aug;46(8):2616-28. Epub 2008 Apr 25. ER - TY - JOUR T1 - Analysis of 13000 unique Citrus clusters associated with fruit quality, production and salinity tolerance JF - BMC Genomics Y1 - 2007 A1 - Terol, J. A1 - A. Conesa A1 - Colmenero, J. M. A1 - Cercos, M. A1 - Tadeo, F. A1 - Agusti, J. A1 - Alos, E. A1 - Andres, F. A1 - Soler, G. A1 - Brumos, J. A1 - Iglesias, D. J. A1 - Gotz, S. A1 - Legaz, F. A1 - Argout, X. A1 - Courtois, B. A1 - Ollitrault, P. A1 - Dossat, C. A1 - Wincker, P. A1 - Morillon, R. A1 - Talon, M. KW - Acclimatization/*genetics Amino Acid Motifs Citrus/*genetics Cluster Analysis Expressed Sequence Tags Fruit/genetics Gene Duplication *Gene Expression Regulation KW - Plant Gene Library Genes KW - Plant Genomics Molecular Sequence Data Multigene Family Phylogeny *Salts/adverse effects AB - BACKGROUND: Improvement of Citrus, the most economically important fruit crop in the world, is extremely slow and inherently costly because of the long-term nature of tree breeding and an unusual combination of reproductive characteristics. Aside from disease resistance, major commercial traits in Citrus are improved fruit quality, higher yield and tolerance to environmental stresses, especially salinity. RESULTS: A normalized full length and 9 standard cDNA libraries were generated, representing particular treatments and tissues from selected varieties (Citrus clementina and C. sinensis) and rootstocks (C. reshni, and C. sinenis x Poncirus trifoliata) differing in fruit quality, resistance to abscission, and tolerance to salinity. The goal of this work was to provide a large expressed sequence tag (EST) collection enriched with transcripts related to these well appreciated agronomical traits. Towards this end, more than 54000 ESTs derived from these libraries were analyzed and annotated. Assembly of 52626 useful sequences generated 15664 putative transcription units distributed in 7120 contigs, and 8544 singletons. BLAST annotation produced significant hits for more than 80% of the hypothetical transcription units and suggested that 647 of these might be Citrus specific unigenes. The unigene set, composed of 13000 putative different transcripts, including more than 5000 novel Citrus genes, was assigned with putative functions based on similarity, GO annotations and protein domains CONCLUSION: Comparative genomics with Arabidopsis revealed the presence of putative conserved orthologs and single copy genes in Citrus and also the occurrence of both gene duplication events and increased number of genes for specific pathways. In addition, phylogenetic analysis performed on the ammonium transporter family and glycosyl transferase family 20 suggested the existence of Citrus paralogs. Analysis of the Citrus gene space showed that the most important metabolic pathways known to affect fruit quality were represented in the unigene set. Overall, the similarity analyses indicated that the sequences of the genes belonging to these varieties and rootstocks were essentially identical, suggesting that the differential behaviour of these species cannot be attributed to major sequence divergences. This Citrus EST assembly contributes both crucial information to discover genes of agronomical interest and tools for genetic and genomic analyses, such as the development of new markers and microarrays. VL - 8 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17254327 N1 - Terol, Javier Conesa, Ana Colmenero, Jose M Cercos, Manuel Tadeo, Francisco Agusti, Javier Alos, Enriqueta Andres, Fernando Soler, Guillermo Brumos, Javier Iglesias, Domingo J Gotz, Stefan Legaz, Francisco Argout, Xavier Courtois, Brigitte Ollitrault, Patrick Dossat, Carole Wincker, Patrick Morillon, Raphael Talon, Manuel Comparative Study Research Support, Non-U.S. Gov’t England BMC genomics BMC Genomics. 2007 Jan 25;8:31. ER - TY - JOUR T1 - The AnnoLite and AnnoLyze programs for comparative annotation of protein structures JF - BMC Bioinformatics Y1 - 2007 A1 - M. A. Marti-Renom A1 - Rossi, A. A1 - Fatima Al-Shahrour A1 - Davis, F. P. A1 - Pieper, U. A1 - Dopazo, J. A1 - Sali, A. KW - *Algorithms Amino Acid Sequence Confidence Intervals Data Interpretation KW - Amino Acid *Software Structure-Activity Relationship KW - Protein Information Storage and Retrieval/methods Molecular Sequence Data Proteins/*chemistry/classification/*metabolism Sensitivity and Specificity Sequence Alignment/*methods Sequence Analysis KW - Protein/*methods Sequence Homology KW - Statistical *Databases AB - BACKGROUND: Advances in structural biology, including structural genomics, have resulted in a rapid increase in the number of experimentally determined protein structures. However, about half of the structures deposited by the structural genomics consortia have little or no information about their biological function. Therefore, there is a need for tools for automatically and comprehensively annotating the function of protein structures. We aim to provide such tools by applying comparative protein structure annotation that relies on detectable relationships between protein structures to transfer functional annotations. Here we introduce two programs, AnnoLite and AnnoLyze, which use the structural alignments deposited in the DBAli database. DESCRIPTION: AnnoLite predicts the SCOP, CATH, EC, InterPro, PfamA, and GO terms with an average sensitivity of 90% and average precision of 80%. AnnoLyze predicts ligand binding site and domain interaction patches with an average sensitivity of 70% and average precision of 30%, correctly localizing binding sites for small molecules in 95% of its predictions. CONCLUSION: The AnnoLite and AnnoLyze programs for comparative annotation of protein structures can reliably and automatically annotate new protein structures. The programs are fully accessible via the Internet as part of the DBAli suite of tools at http://salilab.org/DBAli/. VL - 8 Suppl 4 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17570147 N1 - Marti-Renom, Marc A Rossi, Andrea Al-Shahrour, Fatima Davis, Fred P Pieper, Ursula Dopazo, Joaquin Sali, Andrej Research Support, Non-U.S. Gov’t England BMC bioinformatics BMC Bioinformatics. 2007 May 22;8 Suppl 4:S4. ER - TY - JOUR T1 - Association study of 69 genes in the ret pathway identifies low-penetrance loci in sporadic medullary thyroid carcinoma JF - Cancer Res Y1 - 2007 A1 - Ruiz-Llorente, S. A1 - Montero-Conde, C. A1 - Milne, R. L. A1 - Moya, C. M. A1 - Cebrian, A. A1 - Leton, R. A1 - Cascon, A. A1 - Mercadillo, F. A1 - Landa, I. A1 - Borrego, S. A1 - Perez de Nanclares, G. A1 - Alvarez-Escola, C. A1 - Diaz-Perez, J. A. A1 - Carracedo, A. A1 - Urioste, M. A1 - Gonzalez-Neira, A. A1 - Benitez, J. A1 - Santisteban, P. A1 - Dopazo, J. A1 - Ponder, B. A. A1 - M. Robledo KW - 80 and over Carcinoma KW - Adolescent Adult Aged Aged KW - Genetic KW - Genetic Proto-Oncogene Proteins c-ret/*genetics/metabolism Signal Transduction Thyroid Neoplasms/*genetics/metabolism Transcription KW - Medullary/*genetics/metabolism Case-Control Studies Cyclin-Dependent Kinase Inhibitor p15/biosynthesis/genetics Female Genetic Predisposition to Disease Germ-Line Mutation Haplotypes Humans Male Middle Aged Penetrance Polymorphism KW - Single Nucleotide Promoter Regions AB - To date, few association studies have been done to better understand the genetic basis for the development of sporadic medullary thyroid carcinoma (sMTC). To identify additional low-penetrance genes, we have done a two-stage case-control study in two European populations using high-throughput genotyping. We selected 417 single nucleotide polymorphisms (SNP) belonging to 69 genes either related to RET signaling pathway/functions or involved in key processes for cancer development. TagSNPs and functional variants were included where possible. These SNPs were initially studied in the largest known series of sMTC cases (n = 266) and controls (n = 422), all of Spanish origin. In stage II, an independent British series of 155 sMTC patients and 531 controls was included to validate the previous results. Associations were assessed by an exhaustive analysis of individual SNPs but also considering gene- and linkage disequilibrium-based haplotypes. This strategy allowed us to identify seven low-penetrance genes, six of them (STAT1, AURKA, BCL2, CDKN2B, CDK6, and COMT) consistently associated with sMTC risk in the two case-control series and a seventh (HRAS) with individual SNPs and haplotypes associated with sMTC in the Spanish data set. The potential role of CDKN2B was confirmed by a functional assay showing a role of a SNP (rs7044859) in the promoter region in altering the binding of the transcription factor HNF1. These results highlight the utility of association studies using homogeneous series of cases for better understanding complex diseases. VL - 67 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17909067 N1 - Ruiz-Llorente, Sergio Montero-Conde, Cristina Milne, Roger L Moya, Christian M Cebrian, Arancha Leton, Rocio Cascon, Alberto Mercadillo, Fatima Landa, Inigo Borrego, Salud Perez de Nanclares, Guiomar Alvarez-Escola, Cristina Diaz-Perez, Jose Angel Carracedo, Angel Urioste, Miguel Gonzalez-Neira, Anna Benitez, Javier Santisteban, Pilar Dopazo, Joaquin Ponder, Bruce A Robledo, Mercedes Medullary Thyroid Carcinoma Clinical Group Research Support, Non-U.S. Gov’t United States Cancer research Cancer Res. 2007 Oct 1;67(19):9561-7. ER - TY - JOUR T1 - Characterization of protein hubs by inferring interacting motifs from protein interactions JF - PLoS Comput Biol Y1 - 2007 A1 - Aragues, R. A1 - Sali, A. A1 - Bonet, J. A1 - M. A. Marti-Renom A1 - Oliva, B. KW - Amino Acid Motifs Amino Acid Sequence Binding Sites Computer Simulation *Models KW - Chemical *Models KW - Molecular Molecular Sequence Data Protein Binding Protein Interaction Mapping/*methods Proteins/*chemistry Sequence Analysis KW - Protein/*methods AB - The characterization of protein interactions is essential for understanding biological systems. While genome-scale methods are available for identifying interacting proteins, they do not pinpoint the interacting motifs (e.g., a domain, sequence segments, a binding site, or a set of residues). Here, we develop and apply a method for delineating the interacting motifs of hub proteins (i.e., highly connected proteins). The method relies on the observation that proteins with common interaction partners tend to interact with these partners through a common interacting motif. The sole input for the method are binary protein interactions; neither sequence nor structure information is needed. The approach is evaluated by comparing the inferred interacting motifs with domain families defined for 368 proteins in the Structural Classification of Proteins (SCOP). The positive predictive value of the method for detecting proteins with common SCOP families is 75% at sensitivity of 10%. Most of the inferred interacting motifs were significantly associated with sequence patterns, which could be responsible for the common interactions. We find that yeast hubs with multiple interacting motifs are more likely to be essential than hubs with one or two interacting motifs, thus rationalizing the previously observed correlation between essentiality and the number of interacting partners of a protein. We also find that yeast hubs with multiple interacting motifs evolve slower than the average protein, contrary to the hubs with one or two interacting motifs. The proposed method will help us discover unknown interacting motifs and provide biological insights about protein hubs and their roles in interaction networks. VL - 3 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17941705 N1 - Aragues, Ramon Sali, Andrej Bonet, Jaume Marti-Renom, Marc A Oliva, Baldo PN2 EY016525,/EY/NEI NIH HHS/United States U54 RR022220/RR/NCRR NIH HHS/United States Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov’t United States PLoS computational biology PLoS Comput Biol. 2007 Sep;3(9):1761-71. Epub 2007 Jul 30. ER - TY - JOUR T1 - DBAli tools: mining the protein structure space JF - Nucleic Acids Res Y1 - 2007 A1 - M. A. Marti-Renom A1 - Pieper, U. A1 - Madhusudhan, M. S. A1 - Rossi, A. A1 - Eswar, N. A1 - Davis, F. P. A1 - Fatima Al-Shahrour A1 - Dopazo, J. A1 - Sali, A. KW - *Algorithms Amino Acid Sequence Computational Biology/*methods Data Interpretation KW - Amino Acid *Software Structure-Activity Relationship KW - Protein Internet Molecular Sequence Data Protein Conformation Proteins/*chemistry/classification/*metabolism Pseudomonas aeruginosa/*metabolism Sequence Alignment/*methods Sequence Analysis KW - Protein/*methods Sequence Homology KW - Statistical *Databases AB - The DBAli tools use a comprehensive set of structural alignments in the DBAli database to leverage the structural information deposited in the Protein Data Bank (PDB). These tools include (i) the DBAlit program that allows users to input the 3D coordinates of a protein structure for comparison by MAMMOTH against all chains in the PDB; (ii) the AnnoLite and AnnoLyze programs that annotate a target structure based on its stored relationships to other structures; (iii) the ModClus program that clusters structures by sequence and structure similarities; (iv) the ModDom program that identifies domains as recurrent structural fragments and (v) an implementation of the COMPARER method in the SALIGN command in MODELLER that creates a multiple structure alignment for a set of related protein structures. Thus, the DBAli tools, which are freely accessible via the World Wide Web at http://salilab.org/DBAli/, allow users to mine the protein structure space by establishing relationships between protein structures and their functions. VL - 35 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17478513 N1 - Marti-Renom, Marc A Pieper, Ursula Madhusudhan, M S Rossi, Andrea Eswar, Narayanan Davis, Fred P Al-Shahrour, Fatima Dopazo, Joaquin Sali, Andrej GM 62529/GM/NIGMS NIH HHS/United States GM074929/GM/NIGMS NIH HHS/United States GM54762/GM/NIGMS NIH HHS/United States GM71790/GM/NIGMS NIH HHS/United States Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov’t England Nucleic acids research Nucleic Acids Res. 2007 Jul;35(Web Server issue):W393-7. Epub 2007 May 3. ER - TY - JOUR T1 - DBAli tools: mining the protein structure space. JF - Nucleic Acids Res Y1 - 2007 A1 - Marti-Renom, Marc A A1 - Pieper, Ursula A1 - Madhusudhan, M S A1 - Rossi, Andrea A1 - Eswar, Narayanan A1 - Davis, Fred P A1 - Al-Shahrour, Fátima A1 - Dopazo, Joaquin A1 - Sali, Andrej KW - Algorithms KW - Amino Acid Sequence KW - Computational Biology KW - Data Interpretation, Statistical KW - Databases, Protein KW - Internet KW - Molecular Sequence Data KW - Protein Conformation KW - Proteins KW - Pseudomonas aeruginosa KW - Sequence Alignment KW - Sequence Analysis, Protein KW - Sequence Homology, Amino Acid KW - Software KW - Structure-Activity Relationship AB -

The DBAli tools use a comprehensive set of structural alignments in the DBAli database to leverage the structural information deposited in the Protein Data Bank (PDB). These tools include (i) the DBAlit program that allows users to input the 3D coordinates of a protein structure for comparison by MAMMOTH against all chains in the PDB; (ii) the AnnoLite and AnnoLyze programs that annotate a target structure based on its stored relationships to other structures; (iii) the ModClus program that clusters structures by sequence and structure similarities; (iv) the ModDom program that identifies domains as recurrent structural fragments and (v) an implementation of the COMPARER method in the SALIGN command in MODELLER that creates a multiple structure alignment for a set of related protein structures. Thus, the DBAli tools, which are freely accessible via the World Wide Web at http://salilab.org/DBAli/, allow users to mine the protein structure space by establishing relationships between protein structures and their functions.

VL - 35 IS - Web Server issue U1 - https://www.ncbi.nlm.nih.gov/pubmed/17478513?dopt=Abstract ER - TY - JOUR T1 - Discovering gene expression patterns in time course microarray experiments by ANOVA-SCA JF - Bioinformatics Y1 - 2007 A1 - Nueda, M. J. A1 - A. Conesa A1 - Westerhuis, J. A. A1 - Hoefsloot, H. C. A1 - Smilde, A. K. A1 - Talon, M. A1 - Ferrer, A. KW - Algorithms *Analysis of Variance Computational Biology/*methods Computer Simulation Data Interpretation KW - Genetic KW - Genetic Models KW - Statistical Gene Expression Profiling/*methods Models KW - Statistical Oligonucleotide Array Sequence Analysis/*methods Principal Component Analysis Time Factors Transcription AB - MOTIVATION: Designed microarray experiments are used to investigate the effects that controlled experimental factors have on gene expression and learn about the transcriptional responses associated with external variables. In these datasets, signals of interest coexist with varying sources of unwanted noise in a framework of (co)relation among the measured variables and with the different levels of the studied factors. Discovering experimentally relevant transcriptional changes require methodologies that take all these elements into account. RESULTS: In this work, we develop the application of the Analysis of variance-simultaneous component analysis (ANOVA-SCA) Smilde et al. Bioinformatics, (2005) to the analysis of multiple series time course microarray data as an example of multifactorial gene expression profiling experiments. We denoted this implementation as ASCA-genes. We show how the combination of ANOVA-modeling and a dimension reduction technique is effective in extracting targeted signals from data by-passing structural noise. The methodology is valuable for identifying main and secondary responses associated with the experimental factors and spotting relevant experimental conditions. We additionally propose a novel approach for gene selection in the context of the relation of individual transcriptional patterns to global gene expression signals. We demonstrate the methodology on both real and synthetic datasets. AVAILABILITY: ASCA-genes has been implemented in the statistical language R and is available at http://www.ivia.es/centrodegenomica/bioinformatics.htm. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. VL - 23 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17519250 N1 - Nueda, Maria Jose Conesa, Ana Westerhuis, Johan A Hoefsloot, Huub C J Smilde, Age K Talon, Manuel Ferrer, Alberto Research Support, Non-U.S. Gov’t England Bioinformatics (Oxford, England) Bioinformatics. 2007 Jul 15;23(14):1792-800. Epub 2007 May 22. ER - TY - JOUR T1 - PeroxisomeDB: a database for the peroxisomal proteome, functional genomics and disease JF - Nucleic Acids Res Y1 - 2007 A1 - Schluter, A. A1 - Fourcade, S. A1 - Domenech-Estevez, E. A1 - Gabaldón, T. A1 - Huerta-Cepas, J. A1 - Berthommier, G. A1 - Ripp, R. A1 - Wanders, R. J. A1 - Poch, O. A1 - Pujol, A. KW - Animals *Databases KW - Protein Genomics Humans Internet Mice Peroxisomal Disorders/*genetics Peroxisomes/*metabolism Protein Sorting Signals Proteome/chemistry/*genetics/*physiology Rats Saccharomyces cerevisiae Proteins/genetics/physiology Software User-Computer Interface AB - Peroxisomes are essential organelles of eukaryotic origin, ubiquitously distributed in cells and organisms, playing key roles in lipid and antioxidant metabolism. Loss or malfunction of peroxisomes causes more than 20 fatal inherited conditions. We have created a peroxisomal database (http://www.peroxisomeDB.org) that includes the complete peroxisomal proteome of Homo sapiens and Saccharomyces cerevisiae, by gathering, updating and integrating the available genetic and functional information on peroxisomal genes. PeroxisomeDB is structured in interrelated sections ’Genes’, ’Functions’, ’Metabolic pathways’ and ’Diseases’, that include hyperlinks to selected features of NCBI, ENSEMBL and UCSC databases. We have designed graphical depictions of the main peroxisomal metabolic routes and have included updated flow charts for diagnosis. Precomputed BLAST, PSI-BLAST, multiple sequence alignment (MUSCLE) and phylogenetic trees are provided to assist in direct multispecies comparison to study evolutionary conserved functions and pathways. Highlights of the PeroxisomeDB include new tools developed for facilitating (i) identification of novel peroxisomal proteins, by means of identifying proteins carrying peroxisome targeting signal (PTS) motifs, (ii) detection of peroxisomes in silico, particularly useful for screening the deluge of newly sequenced genomes. PeroxisomeDB should contribute to the systematic characterization of the peroxisomal proteome and facilitate system biology approaches on the organelle. VL - 35 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17135190 N1 - Schluter, Agatha Fourcade, Stephane Domenech-Estevez, Enric Gabaldon, Toni Huerta-Cepas, Jaime Berthommier, Guillaume Ripp, Raymond Wanders, Ronald J A Poch, Olivier Pujol, Aurora Research Support, Non-U.S. Gov’t England Nucleic acids research Nucleic Acids Res. 2007 Jan;35(Database issue):D815-22. Epub 2006 Nov 28. ER - TY - JOUR T1 - Protein translocation into peroxisomes by ring-shaped import receptors JF - FEBS Lett Y1 - 2007 A1 - Stanley, W. A. A1 - Fodor, K. A1 - M. A. Marti-Renom A1 - Schliebs, W. A1 - Wilmanns, M. KW - Amino Acid Sequence Binding Sites Humans Molecular Sequence Data Peroxisomes/*metabolism Protein Structure KW - Cytoplasmic and Nuclear/*chemistry KW - Tertiary Protein Transport Receptors AB - Folded and functional proteins destined for translocation from the cytosol into the peroxisomal matrix are recognized by two different peroxisomal import receptors, Pex5p and Pex7p. Both cargo-loaded receptors dock on the same translocon components, followed by cargo release and receptor recycling, as part of the complete translocation process. Recent structural and functional evidence on the Pex5p receptor has provided insight on the molecular requirements of specific cargo recognition, while the remaining processes still remain largely elusive. Comparison of experimental structures of Pex5p and a structural model of Pex7p reveal that both receptors are built by ring-like arrangements with cargo binding sites, central to the respective structures. Although, molecular insight into the complete peroxisomal translocon still remains to be determined, emerging data allow to deduce common molecular principles that may hold for other translocation systems as well. VL - 581 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17884042 N1 - Stanley, Will A Fodor, Krisztian Marti-Renom, Marc A Schliebs, Wolfgang Wilmanns, Matthias Review Netherlands FEBS letters FEBS Lett. 2007 Oct 16;581(25):4795-802. Epub 2007 Sep 11. ER - TY - JOUR T1 - Blast2GO goes grid: developing a grid-enabled prototype for functional genomics analysis JF - Stud Health Technol Inform Y1 - 2006 A1 - Aparicio, G. A1 - Gotz, S. A1 - A. Conesa A1 - Segrelles, D. A1 - Blanquer, I. A1 - Garcia, J. M. A1 - Hernandez, V. A1 - Robles, M. A1 - Talon, M. KW - babelomics AB -

The vast amount in complexity of data generated in Genomic Research implies that new dedicated and powerful computational tools need to be developed to meet their analysis requirements. Blast2GO (B2G) is a bioinformatics tool for Gene Ontology-based DNA or protein sequence annotation and function-based data mining. The application has been developed with the aim of affering an easy-to-use tool for functional genomics research. Typical B2G users are middle size genomics labs carrying out sequencing, ETS and microarray projects, handling datasets up to several thousand sequences. In the current version of B2G. The power and analytical potential of both annotation and function data-mining is somehow restricted to the computational power behind each particular installation. In order to be able to offer the possibility of an enhanced computational capacity within this bioinformatics application, a Grid component is being developed. A prototype has been conceived for the particular problem of speeding up the Blast searches to obtain fast results for large datasets. Many efforts have been done in the literature concerning the speeding up of Blast searches, but few of them deal with the use of large heterogeneous production Grid Infrastructures. These are the infrastructures that could reach the largest number of resources and the best load balancing for data access. The Grid Service under development will analyse requests based on the number of sequences, splitting them accordingly to the available resources. Lower-level computation will be performed through MPIBLAST. The software architecture is based on the WSRF standard.

VL - 120 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16823138 N1 -

Aparicio, G Gotz, S Conesa, A Segrelles, D Blanquer, I Garcia, J M Hernandez, V Robles, M Talon, M Netherlands Studies in health technology and informatics Stud Health Technol Inform. 2006;120:194-204.

ER - TY - JOUR T1 - Comparative protein structure modeling using Modeller JF - Curr Protoc Bioinformatics Y1 - 2006 A1 - Eswar, N. A1 - Webb, B. A1 - M. A. Marti-Renom A1 - Madhusudhan, M. S. A1 - Eramian, D. A1 - Shen, M. Y. A1 - Pieper, U. A1 - Sali, A. KW - Algorithms Amino Acid Sequence Computer Simulation Crystallography/*methods *Models KW - Chemical *Models KW - Molecular Molecular Sequence Data Protein Conformation Protein Folding Proteins/*chemistry/*ultrastructure Sequence Analysis KW - Protein/*methods *Software AB - Functional characterization of a protein sequence is one of the most frequent problems in biology. This task is usually facilitated by accurate three-dimensional (3-D) structure of the studied protein. In the absence of an experimentally determined structure, comparative or homology modeling can sometimes provide a useful 3-D model for a protein that is related to at least one known protein structure. Comparative modeling predicts the 3-D structure of a given protein sequence (target) based primarily on its alignment to one or more proteins of known structure (templates). The prediction process consists of fold assignment, target-template alignment, model building, and model evaluation. This unit describes how to calculate comparative models using the program MODELLER and discusses all four steps of comparative modeling, frequently observed errors, and some applications. Modeling lactate dehydrogenase from Trichomonas vaginalis (TvLDH) is described as an example. The download and installation of the MODELLER software is also described. VL - Chapter 5 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18428767 N1 - Eswar, Narayanan Webb, Ben Marti-Renom, Marc A Madhusudhan, M S Eramian, David Shen, Min-Yi Pieper, Ursula Sali, Andrej P01 A135707/PHS HHS/United States P01 GM71790/GM/NIGMS NIH HHS/United States R01 GM54762/GM/NIGMS NIH HHS/United States U54 GM62529/GM/NIGMS NIH HHS/United States Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov’t United States Current protocols in bioinformatics / editoral board, Andreas D. Baxevanis ... [et al.] Curr Protoc Bioinformatics. 2006 Oct;Chapter 5:Unit 5.6. ER - TY - JOUR T1 - A composite score for predicting errors in protein structure models JF - Protein Sci Y1 - 2006 A1 - Eramian, D. A1 - Shen, M. Y. A1 - Devos, D. A1 - Melo, F. A1 - Sali, A. A1 - M. A. Marti-Renom KW - *Models KW - Molecular Models KW - Theoretical Proteins/*chemistry AB - Reliable prediction of model accuracy is an important unsolved problem in protein structure modeling. To address this problem, we studied 24 individual assessment scores, including physics-based energy functions, statistical potentials, and machine learning-based scoring functions. Individual scores were also used to construct approximately 85,000 composite scoring functions using support vector machine (SVM) regression. The scores were tested for their abilities to identify the most native-like models from a set of 6000 comparative models of 20 representative protein structures. Each of the 20 targets was modeled using a template of <30% sequence identity, corresponding to challenging comparative modeling cases. The best SVM score outperformed all individual scores by decreasing the average RMSD difference between the model identified as the best of the set and the model with the lowest RMSD (DeltaRMSD) from 0.63 A to 0.45 A, while having a higher Pearson correlation coefficient to RMSD (r=0.87) than any other tested score. The most accurate score is based on a combination of the DOPE non-hydrogen atom statistical potential; surface, contact, and combined statistical potentials from MODPIPE; and two PSIPRED/DSSP scores. It was implemented in the SVMod program, which can now be applied to select the final model in various modeling problems, including fold assignment, target-template alignment, and loop modeling. VL - 15 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16751606 N1 - Eramian, David Shen, Min-yi Devos, Damien Melo, Francisco Sali, Andrej Marti-Renom, Marc A GM 08284/GM/NIGMS NIH HHS/United States R01 GM54762/GM/NIGMS NIH HHS/United States Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov’t Research Support, U.S. Gov’t, Non-P.H.S. United States Protein science : a publication of the Protein Society Protein Sci. 2006 Jul;15(7):1653-66. Epub 2006 Jun 2. ER - TY - JOUR T1 - Development of the GENIPOL European flounder (Platichthys flesus) microarray and determination of temporal transcriptional responses to cadmium at low dose JF - Environ Sci Technol Y1 - 2006 A1 - Williams, T. D. A1 - Diab, A. M. A1 - George, S. G. A1 - Godfrey, R. E. A1 - Sabine, V. A1 - A. Conesa A1 - Minchin, S. D. A1 - Watts, P. C. A1 - Chipman, J. K. KW - Animals Cadmium Chloride/administration & dosage/*pharmacology Dose-Response Relationship KW - Developmental/drug effects Liver/drug effects/growth & development/metabolism Oligonucleotide Array Sequence Analysis/*methods Reverse Transcriptase Polymerase Chain Reaction Transcription KW - Drug Environmental Monitoring/methods Flounder/*genetics/growth & development Gene Expression Profiling Gene Expression Regulation KW - Genetic/*drug effects AB - We have constructed a high density, 13 270-clone cDNA array for the sentinel fish species European flounder (Platichthys flesus), combining clones from suppressive subtractive hybridization and a liver cDNA library; DNA sequences of 5211 clones were determined. Fish were treated by single intraperitoneal injection with 50 micrograms cadmium chloride per kilogram body weight, a dose relevant to environmental exposures, and hepatic gene expression changes were determined at 1, 2, 4, 8, and 16 days postinjection in comparison to saline-treated controls. Gene expression responses were confirmed by real-time reverse transcription polymerase chain reaction (RT-PCR). Blast2GO gene ontology analysis highlighted a general induction of the unfolded protein response, response to oxidative stress, protein synthesis, transport, and degradation pathways, while apoptosis, cell cycle, cytoskeleton, and cytokine genes were also affected. Transcript levels of cytochrome P450 1A (CYP1A) were repressed and vitellogenin altered, real-time PCR showed induction of metallothionein. We thus describe the establishment of a useful resource for ecotoxicogenomics and the determination of the temporal molecular responses to cadmium, a prototypical heavy metal pollutant. VL - 40 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17120584 N1 - Williams, Tim D Diab, Amer M George, Stephen G Godfrey, Rita E Sabine, Victoria Conesa, Ana Minchin, Steven D Watts, Phil C Chipman, James K Research Support, Non-U.S. Gov’t United States Environmental science & technology Environ Sci Technol. 2006 Oct 15;40(20):6479-88. ER - TY - JOUR T1 - ERCC4 associated with breast cancer risk: a two-stage case-control study using high-throughput genotyping JF - Cancer Res Y1 - 2006 A1 - Milne, R. L. A1 - Ribas, G. A1 - Gonzalez-Neira, A. A1 - Fagerholm, R. A1 - Salas, A. A1 - Gonzalez, E. A1 - Dopazo, J. A1 - Nevanlinna, H. A1 - M. Robledo A1 - Benitez, J. KW - 80 and over Breast Neoplasms/epidemiology/*genetics/pathology Case-Control Studies DNA-Binding Proteins/genetics/*physiology Female Finland/epidemiology Genes KW - Adult Aged Aged KW - Recessive Genetic Predisposition to Disease Genotype Humans Introns/genetics Linkage Disequilibrium Middle Aged Neoplasm Proteins/genetics/*physiology Neoplasm Staging *Polymorphism KW - Single Nucleotide Risk Spain/epidemiology AB - The failure of linkage studies to identify further high-penetrance susceptibility genes for breast cancer points to a polygenic model, with more common variants having modest effects on risk, as the most likely candidate. We have carried out a two-stage case-control study in two European populations to identify low-penetrance genes for breast cancer using high-throughput genotyping. Single-nucleotide polymorphisms (SNPs) were selected across preselected cancer-related genes, choosing tagSNPs and functional variants where possible. In stage 1, genotype frequencies for 640 SNPs in 111 genes were compared between 864 breast cancer cases and 845 controls from the Spanish population. In stage 2, candidate SNPs identified in stage 1 (nominal P < 0.01) were tested in a Finnish series of 884 cases and 1,104 controls. Of the 10 candidate SNPs in seven genes identified in stage 1, one (rs744154) on intron 1 of ERCC4, a gene belonging to the nucleotide excision repair pathway, was associated with recessive protection from breast cancer after adjustment for multiple testing in stage 2 (odds ratio, 0.57; Bonferroni-adjusted P = 0.04). After considering potential functional SNPs in the region of high linkage disequilibrium that extends across the entire gene and upstream into the promoter region, we concluded that rs744154 itself could be causal. Although intronic, it is located on the first intron, in a region that is highly conserved across species, and could therefore be functionally important. This study suggests that common intronic variation in ERCC4 is associated with protection from breast cancer. VL - 66 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17018596 N1 - Milne, Roger Laughlin Ribas, Gloria Gonzalez-Neira, Anna Fagerholm, Rainer Salas, Antonio Gonzalez, Emilio Dopazo, Joaquin Nevanlinna, Heli Robledo, Mercedes Benitez, Javier Comparative Study Multicenter Study Research Support, Non-U.S. Gov’t United States Cancer research Cancer Res. 2006 Oct 1;66(19):9420-7. ER - TY - JOUR T1 - Identification of overexpressed genes in frequently gained/amplified chromosome regions in multiple myeloma JF - Haematologica Y1 - 2006 A1 - Largo, C. A1 - Alvarez, S. A1 - Saez, B. A1 - Blesa, D. A1 - Martin-Subero, J. I. A1 - Gonzalez-Garcia, I. A1 - Brieva, J. A. A1 - Dopazo, J. A1 - Siebert, R. A1 - Calasanz, M. J. A1 - Cigudosa, J. C. KW - B-Cell KW - Caspases Cell Line KW - Human *Gene Amplification Gene Dosage Gene Expression Profiling *Gene Expression Regulation KW - Marginal Zone/genetics Multiple Myeloma/*genetics Neoplasm Proteins/genetics Proto-Oncogene Proteins c-bcl-2/genetics KW - Neoplasm Humans Immunoglobulin Heavy Chains/genetics Lymphoma KW - Neoplastic Gene Rearrangement *Genes KW - Tumor *Chromosomes AB - BACKGROUND AND OBJECTIVES: Multiple myeloma (MM) is a malignancy characterized by clonal expansion of plasma cells. In 50% of the cases, the neoplastic transformation begins with a chromosomal translocation that juxtaposes the IGH gene locus to an oncogene. Gene copy number changes are also frequent in MM but less characterized than in other neoplasias. We aimed to characterize genes that are amplified and overexpressed in human myeloma cell lines (HMCL) to provide putative molecular targets for MM therapy. DESIGN AND METHODS: Nine HMCL were characterized by fluorescent in situ hybridization, comparative genomic hybridization (CGH) and cDNA microarrays for gene expression profiling and copy number changes. RESULTS: After defining the IGH-translocations present in the cell lines, we conducted expression-profiling analysis. Supervised analysis identified 166 genes with significantly different expression among the cell lines harboring MMSET/FGFR3 (4p16), MAF (16q) and CCND1 (11q13) rearrangements. Array-CGH was then performed. Five chromosomes recurrently affected by gains/amplifications in primary samples and cell lines were analyzed in detail. Sixty amplified and overexpressed genes were found and 25 (42%) of them were only overexpressed when amplified; moreover, six showed a significant association between overexpression and gain/amplification. We also found co-amplification and overexpression for genes located within the same amplicons, such as MALT1 and BCL2. INTERPRETATION AND CONCLUSIONS: Parallel analysis of gene copy numbers and expression levels by cDNA microarray in MM allowed efficient identification of genes whose expression levels are elevated because of increased copy number. This is the first time that MALT1 and BCL2 have been shown to be overexpressed and amplified in MM. VL - 91 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16461302 N1 - Largo, Cristina Alvarez, Sara Saez, Borja Blesa, David Martin-Subero, Jose I Gonzalez-Garcia, Ines Brieva, Jose A Dopazo, Joaquin Siebert, Reiner Calasanz, Maria J Cigudosa, Juan C Research Support, Non-U.S. Gov’t Italy Haematologica Haematologica. 2006 Feb;91(2):184-91. ER - TY - JOUR T1 - Localization of binding sites in protein structures by optimization of a composite scoring function JF - Protein Sci Y1 - 2006 A1 - Rossi, A. A1 - M. A. Marti-Renom A1 - Sali, A. KW - Amino Acid Sequence Binding Sites Biomechanics Hydrophobicity Ligands *Monte Carlo Method Protein Conformation Proteins/*chemistry Static Electricity AB - The rise in the number of functionally uncharacterized protein structures is increasing the demand for structure-based methods for functional annotation. Here, we describe a method for predicting the location of a binding site of a given type on a target protein structure. The method begins by constructing a scoring function, followed by a Monte Carlo optimization, to find a good scoring patch on the protein surface. The scoring function is a weighted linear combination of the z-scores of various properties of protein structure and sequence, including amino acid residue conservation, compactness, protrusion, convexity, rigidity, hydrophobicity, and charge density; the weights are calculated from a set of previously identified instances of the binding-site type on known protein structures. The scoring function can easily incorporate different types of information useful in localization, thus increasing the applicability and accuracy of the approach. To test the method, 1008 known protein structures were split into 20 different groups according to the type of the bound ligand. For nonsugar ligands, such as various nucleotides, binding sites were correctly identified in 55%-73% of the cases. The method is completely automated (http://salilab.org/patcher) and can be applied on a large scale in a structural genomics setting. VL - 15 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16963645 N1 - Rossi, Andrea Marti-Renom, Marc A Sali, Andrej P01 AI035707/AI/NIAID NIH HHS/United States R01 GM54762/GM/NIGMS NIH HHS/United States Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov’t United States Protein science : a publication of the Protein Society Protein Sci. 2006 Oct;15(10):2366-80. Epub 2006 Sep 8. ER - TY - JOUR T1 - MODBASE: a database of annotated comparative protein structure models and associated resources JF - Nucleic Acids Res Y1 - 2006 A1 - Pieper, U. A1 - Eswar, N. A1 - Davis, F. P. A1 - Braberg, H. A1 - Madhusudhan, M. S. A1 - Rossi, A. A1 - M. A. Marti-Renom A1 - Karchin, R. A1 - Webb, B. M. A1 - Eramian, D. A1 - Shen, M. Y. A1 - Kelly, L. A1 - Melo, F. A1 - Sali, A. KW - Binding Sites *Databases KW - Molecular Polymorphism KW - Protein Humans Internet Ligands *Models KW - Protein Systems Integration User-Computer Interface KW - Single Nucleotide Protein Structure KW - Tertiary Proteins/*chemistry/genetics/metabolism Software *Structural Homology AB - MODBASE (http://salilab.org/modbase) is a database of annotated comparative protein structure models for all available protein sequences that can be matched to at least one known protein structure. The models are calculated by MODPIPE, an automated modeling pipeline that relies on MODELLER for fold assignment, sequence-structure alignment, model building and model assessment (http:/salilab.org/modeller). MODBASE is updated regularly to reflect the growth in protein sequence and structure databases, and improvements in the software for calculating the models. MODBASE currently contains 3 094 524 reliable models for domains in 1 094 750 out of 1 817 889 unique protein sequences in the UniProt database (July 5, 2005); only models based on statistically significant alignments and models assessed to have the correct fold despite insignificant alignments are included. MODBASE also allows users to generate comparative models for proteins of interest with the automated modeling server MODWEB (http://salilab.org/modweb). Our other resources integrated with MODBASE include comprehensive databases of multiple protein structure alignments (DBAli, http://salilab.org/dbali), structurally defined ligand binding sites and structurally defined binary domain interfaces (PIBASE, http://salilab.org/pibase) as well as predictions of ligand binding sites, interactions between yeast proteins, and functional consequences of human nsSNPs (LS-SNP, http://salilab.org/LS-SNP). VL - 34 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16381869 N1 - Pieper, Ursula Eswar, Narayanan Davis, Fred P Braberg, Hannes Madhusudhan, M S Rossi, Andrea Marti-Renom, Marc Karchin, Rachel Webb, Ben M Eramian, David Shen, Min-Yi Kelly, Libusha Melo, Francisco Sali, Andrej GM 08284/GM/NIGMS NIH HHS/United States P50 GM62529/GM/NIGMS NIH HHS/United States R01 GM 54762/GM/NIGMS NIH HHS/United States R33 CA84699/CA/NCI NIH HHS/United States U54 GM074945/GM/NIGMS NIH HHS/United States Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov’t England Nucleic acids research Nucleic Acids Res. 2006 Jan 1;34(Database issue):D291-5. ER - TY - JOUR T1 - Origin and evolution of the peroxisomal proteome JF - Biol Direct Y1 - 2006 A1 - Gabaldón, T. A1 - B. Snel A1 - van Zimmeren, F. A1 - Hemrika, W. A1 - Tabak, H. A1 - M. A. Huynen AB - BACKGROUND: Peroxisomes are ubiquitous eukaryotic organelles involved in various oxidative reactions. Their enzymatic content varies between species, but the presence of common protein import and organelle biogenesis systems support a single evolutionary origin. The precise scenario for this origin remains however to be established. The ability of peroxisomes to divide and import proteins post-translationally, just like mitochondria and chloroplasts, supports an endosymbiotic origin. However, this view has been challenged by recent discoveries that mutant, peroxisome-less cells restore peroxisomes upon introduction of the wild-type gene, and that peroxisomes are formed from the Endoplasmic Reticulum. The lack of a peroxisomal genome precludes the use of classical analyses, as those performed with mitochondria or chloroplasts, to settle the debate. We therefore conducted large-scale phylogenetic analyses of the yeast and rat peroxisomal proteomes. RESULTS : Our results show that most peroxisomal proteins (39-58%) are of eukaryotic origin, comprising all proteins involved in organelle biogenesis or maintenance. A significant fraction (13-18%), consisting mainly of enzymes, has an alpha-proteobacterial origin and appears to be the result of the recruitment of proteins originally targeted to mitochondria. Consistent with the findings that peroxisomes are formed in the Endoplasmic Reticulum, we find that the most universally conserved Peroxisome biogenesis and maintenance proteins are homologous to proteins from the Endoplasmic Reticulum Assisted Decay pathway. CONCLUSION: Altogether our results indicate that the peroxisome does not have an endosymbiotic origin and that its proteins were recruited from pools existing within the primitive eukaryote. Moreover the reconstruction of primitive peroxisomal proteomes suggests that ontogenetically as well as phylogenetically, peroxisomes stem from the Endoplasmic Reticulum. REVIEWERS: This article was reviewed by Arcady Mushegian, Gaspar Jekely and John Logsdon. OPEN PEER REVIEW: Reviewed by Arcady Mushegian, Gaspar Jekely and John Logsdon. For the full reviews, please go to the Reviewers’ comments section. VL - 1 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16556314 N1 - Gabaldon, Toni Snel, Berend van Zimmeren, Frank Hemrika, Wieger Tabak, Henk Huynen, Martijn A England Biology direct Biol Direct. 2006 Mar 23;1:8. ER - TY - JOUR T1 - PupaSuite: finding functional single nucleotide polymorphisms for large-scale genotyping purposes JF - Nucleic Acids Res Y1 - 2006 A1 - L. Conde A1 - Vaquerizas, J. M. A1 - H. Dopazo A1 - Arbiza, L. A1 - Reumers, J. A1 - Rousseau, F. A1 - Schymkowitz, J. A1 - Dopazo, J. KW - Algorithms Computer Graphics Databases KW - Molecular Genotype Haplotypes Internet Linkage Disequilibrium *Polymorphism KW - Nucleic Acid Evolution KW - Single Nucleotide *Software User-Computer Interface AB -

We have developed a web tool, PupaSuite, for the selection of single nucleotide polymorphisms (SNPs) with potential phenotypic effect, specifically oriented to help in the design of large-scale genotyping projects. PupaSuite uses a collection of data on SNPs from heterogeneous sources and a large number of pre-calculated predictions to offer a flexible and intuitive interface for selecting an optimal set of SNPs. It improves the functionality of PupaSNP and PupasView programs and implements new facilities such as the analysis of user’s data to derive haplotypes with functional information. A new estimator of putative effect of polymorphisms has been included that uses evolutionary information. Also SNPeffect database predictions have been included. The PupaSuite web interface is accessible through http://pupasuite.bioinfo.cipf.es and through http://www.pupasnp.org.

VL - 34 UR - http://nar.oxfordjournals.org/cgi/content/full/34/suppl_2/W621 N1 -

Conde, Lucia Vaquerizas, Juan M Dopazo, Hernan Arbiza, Leonardo Reumers, Joke Rousseau, Frederic Schymkowitz, Joost Dopazo, Joaquin Research Support, Non-U.S. Gov’t England Nucleic acids research Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W621-5.

ER - TY - JOUR T1 - Refinement of protein structures by iterative comparative modeling and CryoEM density fitting JF - J Mol Biol Y1 - 2006 A1 - Topf, M. A1 - Baker, M. L. A1 - M. A. Marti-Renom A1 - Chiu, W. A1 - Sali, A. KW - Amino Acid Sequence Cryoelectron Microscopy *Models KW - Molecular Molecular Sequence Data Plant Viruses/chemistry *Protein Conformation Software Viral Proteins/*chemistry/genetics AB - We developed a method for structure characterization of assembly components by iterative comparative protein structure modeling and fitting into cryo-electron microscopy (cryoEM) density maps. Specifically, we calculate a comparative model of a given component by considering many alternative alignments between the target sequence and a related template structure while optimizing the fit of a model into the corresponding density map. The method relies on the previously developed Moulder protocol that iterates over alignment, model building, and model assessment. The protocol was benchmarked using 20 varied target-template pairs of known structures with less than 30% sequence identity and corresponding simulated density maps at resolutions from 5A to 25A. Relative to the models based on the best existing sequence profile alignment methods, the percentage of C(alpha) atoms that are within 5A of the corresponding C(alpha) atoms in the superposed native structure increases on average from 52% to 66%, which is half-way between the starting models and the models from the best possible alignments (82%). The test also reveals that despite the improvements in the accuracy of the fitness function, this function is still the bottleneck in reducing the remaining errors. To demonstrate the usefulness of the protocol, we applied it to the upper domain of the P8 capsid protein of rice dwarf virus that has been studied by cryoEM at 6.8A. The C(alpha) root-mean-square deviation of the model based on the remotely related template, bluetongue virus VP7, improved from 8.7A to 6.0A, while the best possible model has a C(alpha) RMSD value of 5.3A. Moreover, the resulting model fits better into the cryoEM density map than the initial template structure. The method is being implemented in our program MODELLER for protein structure modeling by satisfaction of spatial restraints and will be applicable to the rapidly increasing number of cryoEM density maps of macromolecular assemblies. VL - 357 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16490207 N1 - Topf, Maya Baker, Matthew L Marti-Renom, Marc A Chiu, Wah Sali, Andrej 2 PN2 EY016525-02/EY/NEI NIH HHS/United States P20RR020647/RR/NCRR NIH HHS/United States P41RR02250/RR/NCRR NIH HHS/United States R01 GM54762/GM/NIGMS NIH HHS/United States Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov’t Research Support, U.S. Gov’t, Non-P.H.S. England Journal of molecular biology J Mol Biol. 2006 Apr 14;357(5):1655-68. Epub 2006 Feb 2. ER - TY - CHAP T1 - Reliable and specific protein function prediction by combining homology with genomic(s) context T2 - Discovery of biomolecular mechanisms with theoretical data analyses Y1 - 2006 A1 - M. A. Huynen A1 - B. Snel A1 - Gabaldón T JF - Discovery of biomolecular mechanisms with theoretical data analyses PB - F. Eisenhaber, Landes Bioscience UR - http://www.landesbioscience.com/iu/output.php?id=479 ER - TY - JOUR T1 - Variable gap penalty for protein sequence-structure alignment JF - Protein Eng Des Sel Y1 - 2006 A1 - Madhusudhan, M. S. A1 - M. A. Marti-Renom A1 - Sanchez, R. A1 - Sali, A. KW - Algorithms Amino Acid Sequence Models KW - Amino Acid *Software KW - Molecular Molecular Sequence Data Proteins/*chemistry Sequence Alignment/*methods Sequence Analysis KW - Protein/*methods *Sequence Homology AB - The penalty for inserting gaps into an alignment between two protein sequences is a major determinant of the alignment accuracy. Here, we present an algorithm for finding a globally optimal alignment by dynamic programming that can use a variable gap penalty (VGP) function of any form. We also describe a specific function that depends on the structural context of an insertion or deletion. It penalizes gaps that are introduced within regions of regular secondary structure, buried regions, straight segments and also between two spatially distant residues. The parameters of the penalty function were optimized on a set of 240 sequence pairs of known structure, spanning the sequence identity range of 20-40%. We then tested the algorithm on another set of 238 sequence pairs of known structures. The use of the VGP function increases the number of correctly aligned residues from 81.0 to 84.5% in comparison with the optimized affine gap penalty function; this difference is statistically significant according to Student’s t-test. We estimate that the new algorithm allows us to produce comparative models with an additional approximately 7 million accurately modeled residues in the approximately 1.1 million proteins that are detectably related to a known structure. VL - 19 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16423846 N1 - Madhusudhan, M S Marti-Renom, Marc A Sanchez, Roberto Sali, Andrej DE016274/DE/NIDCR NIH HHS/United States GM54762/GM/NIGMS NIH HHS/United States GM62529/GM/NIGMS NIH HHS/United States Comparative Study Research Support, N.I.H., Extramural England Protein engineering, design & selection : PEDS Protein Eng Des Sel. 2006 Mar;19(3):129-33. Epub 2006 Jan 19. ER - TY - JOUR T1 - Combining data from genomes, Y2H and 3D structure indicates that BolA is a reductase interacting with a glutaredoxin JF - FEBS Lett Y1 - 2005 A1 - M. A. Huynen A1 - Spronk, C. A. A1 - Gabaldón, T. A1 - B. Snel KW - *Genome Glutaredoxins Models KW - Molecular Oxidoreductases/chemistry/*metabolism Phylogeny Protein Conformation AB - Genomes, functional genomics data and 3D structure reflect different aspects of protein function. Here, we combine these data to predict that BolA, a widely distributed protein family with unknown function, is a reductase that interacts with a glutaredoxin. Comparisons at the 3D structure level as well as at the sequence profile level indicate homology between BolA and OsmC, an enzyme that reduces organic peroxides. Complementary to this, comparative analyses of genomes and genomics data provide strong evidence of an interaction between BolA and the mono-thiol glutaredoxin family. The interaction between BolA and a mono-thiol glutaredoxin is of particular interest because BolA does not, in contrast to its homolog OsmC, have evolutionarily conserved cysteines to provide it with reducing equivalents. We propose that BolA uses the mono-thiol glutaredoxin as the source for these. VL - 579 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15670813 N1 - Huynen, Martijn A Spronk, Chris A E M Gabaldon, Toni Snel, Berend Research Support, Non-U.S. Gov’t Netherlands FEBS letters FEBS Lett. 2005 Jan 31;579(3):591-6. ER - TY - JOUR T1 - The C-type lectin fold as an evolutionary solution for massive sequence variation JF - Nat Struct Mol Biol Y1 - 2005 A1 - McMahon, S. A. A1 - Miller, J. L. A1 - Lawton, J. A. A1 - Kerkow, D. E. A1 - Hodes, A. A1 - M. A. Marti-Renom A1 - Doulatov, S. A1 - Narayanan, E. A1 - Sali, A. A1 - Miller, J. F. A1 - Ghosh, P. KW - Amino Acid Sequence Bacterial Outer Membrane Proteins/*chemistry Bacteriophages/*metabolism Bordetella/*virology Evolution KW - Bordetella/*chemistry KW - C-Type/*chemistry Molecular Sequence Data Protein Conformation Protein Folding Viral Proteins/*chemistry/*genetics Virulence Factors KW - Molecular Genetic Variation Genome KW - Viral Lectins AB - Only few instances are known of protein folds that tolerate massive sequence variation for the sake of binding diversity. The most extensively characterized is the immunoglobulin fold. We now add to this the C-type lectin (CLec) fold, as found in the major tropism determinant (Mtd), a retroelement-encoded receptor-binding protein of Bordetella bacteriophage. Variation in Mtd, with its approximately 10(13) possible sequences, enables phage adaptation to Bordetella spp. Mtd is an intertwined, pyramid-shaped trimer, with variable residues organized by its CLec fold into discrete receptor-binding sites. The CLec fold provides a highly static scaffold for combinatorial display of variable residues, probably reflecting a different evolutionary solution for balancing diversity against stability from that in the immunoglobulin fold. Mtd variants are biased toward the receptor pertactin, and there is evidence that the CLec fold is used broadly for sequence variation by related retroelements. VL - 12 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16170324 N1 - McMahon, Stephen A Miller, Jason L Lawton, Jeffrey A Kerkow, Donald E Hodes, Asher Marti-Renom, Marc A Doulatov, Sergei Narayanan, Eswar Sali, Andrej Miller, Jeff F Ghosh, Partho F31AI061840/AI/NIAID NIH HHS/United States F32AI49695/AI/NIAID NIH HHS/United States T32GM008326/GM/NIGMS NIH HHS/United States Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov’t Research Support, U.S. Gov’t, P.H.S. United States Nature structural & molecular biology Nat Struct Mol Biol. 2005 Oct;12(10):886-92. Epub 2005 Sep 18. ER - TY - JOUR T1 - Detecting remotely related proteins by their interactions and sequence similarity JF - Proc Natl Acad Sci U S A Y1 - 2005 A1 - Espadaler, J. A1 - Aragues, R. A1 - Eswar, N. A1 - M. A. Marti-Renom A1 - Querol, E. A1 - Aviles, F. X. A1 - Sali, A. A1 - Oliva, B. KW - Amino Acid KW - Computational Biology Databases KW - Molecular Protein Conformation Protein Folding Proteins/*genetics/*metabolism Proteomics/*methods *Sequence Homology KW - Protein *Evolution AB - The function of an uncharacterized protein is usually inferred either from its homology to, or its interactions with, characterized proteins. Here, we use both sequence similarity and protein interactions to identify relationships between remotely related protein sequences. We rely on the fact that homologous sequences share similar interactions, and, therefore, the set of interacting partners of the partners of a given protein is enriched by its homologs. The approach was bench-marked by assigning the fold and functional family to test sequences of known structure. Specifically, we relied on 1,434 proteins with known folds, as defined in the Structural Classification of Proteins (SCOP) database, and with known interacting partners, as defined in the Database of Interacting Proteins (DIP). For this subset, the specificity of fold assignment was increased from 54% for position-specific iterative BLAST to 75% for our approach, with a concomitant increase in sensitivity for a few percentage points. Similarly, the specificity of family assignment at the e-value threshold of 10(-8) was increased from 70% to 87%. The proposed method would be a useful tool for large-scale automated discovery of remote relationships between protein sequences, given its unique reliance on sequence similarity and protein-protein interactions. VL - 102 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15883372 N1 - Espadaler, Jordi Aragues, Ramon Eswar, Narayanan Marti-Renom, Marc A Querol, Enrique Aviles, Francesc X Sali, Andrej Oliva, Baldomero R01 GM54762/GM/NIGMS NIH HHS/United States Comparative Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov’t Research Support, U.S. Gov’t, P.H.S. United States Proceedings of the National Academy of Sciences of the United States of America Proc Natl Acad Sci U S A. 2005 May 17;102(20):7151-6. Epub 2005 May 9. ER - TY - JOUR T1 - Development of a citrus genome-wide EST collection and cDNA microarray as resources for genomic studies JF - Plant Mol Biol Y1 - 2005 A1 - J. Forment A1 - J. Gadea A1 - Huerta, L. A1 - Abizanda, L. A1 - Agusti, J. A1 - Alamar, S. A1 - Alos, E. A1 - Andres, F. A1 - Arribas, R. A1 - Beltran, J. P. A1 - Berbel, A. A1 - Blazquez, M. A. A1 - Brumos, J. A1 - Canas, L. A. A1 - Cercos, M. A1 - Colmenero-Flores, J. M. A1 - A. Conesa A1 - Estables, B. A1 - Gandia, M. A1 - Garcia-Martinez, J. L. A1 - Gimeno, J. A1 - Gisbert, A. A1 - Gomez, G. A1 - Gonzalez-Candelas, L. A1 - Granell, A. A1 - Guerri, J. A1 - Lafuente, M. T. A1 - Madueno, F. A1 - Marcos, J. F. A1 - Marques, M. C. A1 - Martinez, F. A1 - Martinez-Godoy, M. A. A1 - Miralles, S. A1 - Moreno, P. A1 - Navarro, L. A1 - Pallas, V. A1 - Perez-Amador, M. A. A1 - Perez-Valle, J. A1 - Pons, C. A1 - Rodrigo, I. A1 - Rodriguez, P. L. A1 - Royo, C. A1 - Serrano, R. A1 - Soler, G. A1 - Tadeo, F. A1 - Talon, M. A1 - Terol, J. A1 - Trenor, M. A1 - Vaello, L. A1 - Vicente, O. A1 - Vidal, Ch A1 - Zacarias, L. A1 - Conejero, V. KW - Citrus/*genetics DNA KW - Complementary/chemistry/genetics *Expressed Sequence Tags Gene Expression Profiling Gene Library *Genome KW - DNA KW - Plant Genomics/*methods Molecular Sequence Data Oligonucleotide Array Sequence Analysis/*methods RNA KW - Plant/genetics/metabolism Reproducibility of Results Sequence Analysis AB - A functional genomics project has been initiated to approach the molecular characterization of the main biological and agronomical traits of citrus. As a key part of this project, a citrus EST collection has been generated from 25 cDNA libraries covering different tissues, developmental stages and stress conditions. The collection includes a total of 22,635 high-quality ESTs, grouped in 11,836 putative unigenes, which represent at least one third of the estimated number of genes in the citrus genome. Functional annotation of unigenes which have Arabidopsis orthologues (68% of all unigenes) revealed gene representation in every major functional category, suggesting that a genome-wide EST collection was obtained. A Citrus clementina Hort. ex Tan. cv. Clemenules genomic library, that will contribute to further characterization of relevant genes, has also been constructed. To initiate the analysis of citrus transcriptome, we have developed a cDNA microarray containing 12,672 probes corresponding to 6875 putative unigenes of the collection. Technical characterization of the microarray showed high intra- and inter-array reproducibility, as well as a good range of sensitivity. We have also validated gene expression data achieved with this microarray through an independent technique such as RNA gel blot analysis. VL - 57 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15830128 N1 - Forment, J Gadea, J Huerta, L Abizanda, L Agusti, J Alamar, S Alos, E Andres, F Arribas, R Beltran, J P Berbel, A Blazquez, M A Brumos, J Canas, L A Cercos, M Colmenero-Flores, J M Conesa, A Estables, B Gandia, M Garcia-Martinez, J L Gimeno, J Gisbert, A Gomez, G Gonzalez-Candelas, L Granell, A Guerri, J Lafuente, M T Madueno, F Marcos, J F Marques, M C Martinez, F Martinez-Godoy, M A Miralles, S Moreno, P Navarro, L Pallas, V Perez-Amador, M A Perez-Valle, J Pons, C Rodrigo, I Rodriguez, P L Royo, C Serrano, R Soler, G Tadeo, F Talon, M Terol, J Trenor, M Vaello, L Vicente, O Vidal, Ch Zacarias, L Conejero, V Comparative Study Research Support, U.S. Gov’t, Non-P.H.S. Netherlands Plant molecular biology Plant Mol Biol. 2005 Feb;57(3):375-91. ER - TY - JOUR T1 - Highly specific and accurate selection of siRNAs for high-throughput functional assays JF - Bioinformatics Y1 - 2005 A1 - J. Santoyo A1 - Vaquerizas, J. M. A1 - Dopazo, J. KW - *Algorithms Base Sequence *Gene Silencing Molecular Sequence Data RNA KW - RNA/*methods *Software *User-Computer Interface KW - Small Interfering/*genetics Sequence Alignment/*methods Sequence Analysis AB - MOTIVATION: Small interfering RNA (siRNA) is widely used in functional genomics to silence genes by decreasing their expression to study the resulting phenotypes. The possibility of performing large-scale functional assays by gene silencing accentuates the necessity of a software capable of the high-throughput design of highly specific siRNA. The main objective sought was the design of a large number of siRNAs with appropriate thermodynamic properties and, especially, high specificity. Since all the available procedures require, to some extent, manual processing of the results to guarantee specific results, specificity constitutes to date, the major obstacle to the complete automation of all the steps necessary for the selection of optimal candidate siRNAs. RESULT: Here, we present a program that for the first time completely automates the search for siRNAs. In SiDE, the most complete set of rules for the selection of siRNA candidates (including G+C content, nucleotides at determined positions, thermodynamic properties, propensity to form internal hairpins, etc.) is implemented and moreover, specificity is achieved by a conceptually new method. After selecting possible siRNA candidates with the optimal functional properties, putative unspecific matches, which can cause cross-hybridization, are checked in databases containing a unique entry for each gene. These truly non-redundant databases are constructed from the genome annotations (Ensembl). Also intron/exon boundaries, presence of polymorphisms (single nucleotide polymorphisms) specificity for either gene or transcript, and other features can be selected to be considered in the design of siRNAs. AVAILABILITY: The program is available as a web server at http://side.bioinfo.cnio.es. The program was written under the GPL license. CONTACT: jdopazo@cnio.es. VL - 21 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15591357 N1 - Santoyo, Javier Vaquerizas, Juan M Dopazo, Joaquin Comparative Study Evaluation Studies Research Support, Non-U.S. Gov’t England Bioinformatics (Oxford, England) Bioinformatics. 2005 Apr 15;21(8):1376-82. Epub 2004 Dec 10. ER - TY - JOUR T1 - Phenotypic characterization of BRCA1 and BRCA2 tumors based in a tissue microarray study with 37 immunohistochemical markers JF - Breast Cancer Res Treat Y1 - 2005 A1 - Palacios, J. A1 - Honrado, E. A1 - Osorio, A. A1 - Cazorla, A. A1 - Sarrio, D. A1 - Barroso, A. A1 - Rodriguez, S. A1 - Cigudosa, J. C. A1 - Diez, O. A1 - Alonso, C. A1 - Lerma, E. A1 - Dopazo, J. A1 - Rivas, C. A1 - Benitez, J. KW - Adult Apoptosis Breast Neoplasms/*genetics/*pathology Cell Cycle Proteins Cluster Analysis Female *Genes KW - Biological/genetics/metabolism KW - BRCA1 *Genes KW - BRCA2 Humans Immunohistochemistry In Situ Hybridization KW - Fluorescence Phenotype Spain *Tissue Array Analysis *Tumor Markers AB - Familial breast cancers that are associated with BRCA1 or BRCA2 germline mutations differ in both their morphological and immunohistochemical characteristics. To further characterize the molecular difference between genotypes, the authors evaluated the expression of 37 immunohistochemical markers in a tissue microarray (TMA) containing cores from 20 BRCA1, 14 BRCA2, and 59 sporadic age-matched breast carcinomas. Markers analyzed included, amog others, common markers in breast cancer, such as hormone receptors, p53 and HER2, along with 15 molecules involved in cell cycle regulation, such as cyclins, cyclin dependent kinases (CDK) and CDK inhibitors (CDKI), apoptosis markers, such as BCL2 and active caspase 3, and two basal/myoepithelial markers (CK 5/6 and P-cadherin). In addition, we analyzed the amplification of CCND1, CCNE, HER2 and MYC by FISH.Unsupervised cluster data analysis of both hereditary and sporadic cases using the complete set of immunohistochemical markers demonstrated that most BRCA1-associated carcinomas grouped in a branch of ER-, HER2-negative tumors that expressed basal cell markers and/or p53 and had higher expression of activated caspase 3. The cell cycle proteins associated with these tumors were E2F6, cyclins A, B1 and E, SKP2 and Topo IIalpha. In contrast, most BRCA2-associated carcinomas grouped in a branch composed by ER/PR/BCL2-positive tumors with a higher expression of the cell cycle proteins cyclin D1, cyclin D3, p27, p16, p21, CDK4, CDK2 and CDK1. In conclusion, our study in hereditary breast cancer tumors analyzing 37 immunohistochemical markers, define the molecular differences between BRCA1 and BRCA2 tumors with respect to hormonal receptors, cell cycle, apoptosis and basal cell markers. VL - 90 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15770521 N1 - Palacios, Jose Honrado, Emiliano Osorio, Ana Cazorla, Alicia Sarrio, David Barroso, Alicia Rodriguez, Sandra Cigudosa, Juan C Diez, Orland Alonso, Carmen Lerma, Enrique Dopazo, Joaquin Rivas, Carmen Benitez, Javier Research Support, Non-U.S. Gov’t Netherlands Breast cancer research and treatment Breast Cancer Res Treat. 2005 Mar;90(1):5-14. ER - TY - CHAP T1 - Salinibacter ruber: genomics and biogeography T2 - Adaptation to life in high salt concentrations in Archaea, Bacteria and Eukarya Y1 - 2005 A1 - Antón, J A1 - Peña, A A1 - Valens, M A1 - Santos, F A1 - Glöckner, F.O A1 - Bauer, M A1 - Dopazo, J. A1 - Herrero, J. A1 - Rosselló-Mora, R A1 - Amann, R JF - Adaptation to life in high salt concentrations in Archaea, Bacteria and Eukarya PB - Nina Gunde-Cimerman, Ana Plemenitas, and Aharon Oren. Kluwer Academic Publishers CY - Dordrecht, Netherlands VL - 9 ER - TY - JOUR T1 - Variation and evolution of biomolecular systems: searching for functional relevance JF - FEBS Lett Y1 - 2005 A1 - M. A. Huynen A1 - Gabaldón, T. A1 - B. Snel KW - *Evolution KW - Molecular Genetic Variation Multiprotein Complexes/*genetics Phylogeny Protein Binding/genetics AB - The availability of genome sequences and functional genomics data from multiple species enables us to compare the composition of biomolecular systems like biochemical pathways and protein complexes between species. Here, we review small- and large-scale, "genomics-based" approaches to biomolecular systems variation. In general, caution is required when comparing the results of bioinformatics analyses of genomes or of functional genomics data between species. Limitations to the sensitivity of sequence analysis tools and the noisy nature of genomics data tend to lead to systematic overestimates of the amount of variation. Nevertheless, the results from detailed manual analyses, and of large-scale analyses that filter out systematic biases, point to a large amount of variation in the composition of biomolecular systems. Such observations challenge our understanding of the function of the systems and their individual components and can potentially facilitate the identification and functional characterization of sub-systems within a system. Mapping the inter-species variation of complex biomolecular systems on a phylogenetic species tree allows one to reconstruct their evolution. VL - 579 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15763561 N1 - Huynen, Martijn A Gabaldon, Toni Snel, Berend Review Netherlands FEBS letters FEBS Lett. 2005 Mar 21;579(8):1839-45. ER - TY - JOUR T1 - Alignment of protein sequences by their profiles JF - Protein Sci Y1 - 2004 A1 - M. A. Marti-Renom A1 - Madhusudhan, M. S. A1 - Sali, A. KW - *Algorithms Amino Acid Sequence Computational Biology Databases KW - Protein Markov Chains Molecular Sequence Data *Protein Folding Protein Structure KW - Tertiary Proteins/*chemistry *Sequence Alignment Sequence Homology *Software AB - The accuracy of an alignment between two protein sequences can be improved by including other detectably related sequences in the comparison. We optimize and benchmark such an approach that relies on aligning two multiple sequence alignments, each one including one of the two protein sequences. Thirteen different protocols for creating and comparing profiles corresponding to the multiple sequence alignments are implemented in the SALIGN command of MODELLER. A test set of 200 pairwise, structure-based alignments with sequence identities below 40% is used to benchmark the 13 protocols as well as a number of previously described sequence alignment methods, including heuristic pairwise sequence alignment by BLAST, pairwise sequence alignment by global dynamic programming with an affine gap penalty function by the ALIGN command of MODELLER, sequence-profile alignment by PSI-BLAST, Hidden Markov Model methods implemented in SAM and LOBSTER, pairwise sequence alignment relying on predicted local structure by SEA, and multiple sequence alignment by CLUSTALW and COMPASS. The alignment accuracies of the best new protocols were significantly better than those of the other tested methods. For example, the fraction of the correctly aligned residues relative to the structure-based alignment by the best protocol is 56%, which can be compared with the accuracies of 26%, 42%, 43%, 48%, 50%, 49%, 43%, and 43% for the other methods, respectively. The new method is currently applied to large-scale comparative protein structure modeling of all known sequences. VL - 13 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15044736 N1 - Marti-Renom, Marc A Madhusudhan, M S Sali, Andrej P50 GM62529/GM/NIGMS NIH HHS/United States R01 GM54762/GM/NIGMS NIH HHS/United States Research Support, Non-U.S. Gov’t Research Support, U.S. Gov’t, P.H.S. United States Protein science : a publication of the Protein Society Protein Sci. 2004 Apr;13(4):1071-87. ER - TY - JOUR T1 - MODBASE, a database of annotated comparative protein structure models, and associated resources JF - Nucleic Acids Res Y1 - 2004 A1 - Pieper, U. A1 - Eswar, N. A1 - Braberg, H. A1 - Madhusudhan, M. S. A1 - Davis, F. P. A1 - Stuart, A. C. A1 - Mirkovic, N. A1 - Rossi, A. A1 - M. A. Marti-Renom A1 - Fiser, A. A1 - Webb, B. A1 - Greenblatt, D. A1 - Huang, C. C. A1 - Ferrin, T. E. A1 - Sali, A. KW - Amino Acid Sequence Animals Binding Sites *Computational Biology *Databases KW - Molecular Molecular Sequence Data Polymorphism KW - Protein Genomics Humans Internet Ligands Models KW - Single Nucleotide Protein Binding Protein Conformation Proteins/*chemistry/genetics Sequence Alignment Software User-Computer Interface AB - MODBASE (http://salilab.org/modbase) is a relational database of annotated comparative protein structure models for all available protein sequences matched to at least one known protein structure. The models are calculated by MODPIPE, an automated modeling pipeline that relies on the MODELLER package for fold assignment, sequence-structure alignment, model building and model assessment (http:/salilab.org/modeller). MODBASE uses the MySQL relational database management system for flexible querying and CHIMERA for viewing the sequences and structures (http://www.cgl.ucsf.edu/chimera/). MODBASE is updated regularly to reflect the growth in protein sequence and structure databases, as well as improvements in the software for calculating the models. For ease of access, MODBASE is organized into different data sets. The largest data set contains 1,26,629 models for domains in 659,495 out of 1,182,126 unique protein sequences in the complete Swiss-Prot/TrEMBL database (August 25, 2003); only models based on alignments with significant similarity scores and models assessed to have the correct fold despite insignificant alignments are included. Another model data set supports target selection and structure-based annotation by the New York Structural Genomics Research Consortium; e.g. the 53 new structures produced by the consortium allowed us to characterize structurally 24,113 sequences. MODBASE also contains binding site predictions for small ligands and a set of predicted interactions between pairs of modeled sequences from the same genome. Our other resources associated with MODBASE include a comprehensive database of multiple protein structure alignments (DBALI, http://salilab.org/dbali) as well as web servers for automated comparative modeling with MODPIPE (MODWEB, http://salilab. org/modweb), modeling of loops in protein structures (MODLOOP, http://salilab.org/modloop) and predicting functional consequences of single nucleotide polymorphisms (SNPWEB, http://salilab. org/snpweb). VL - 32 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=14681398 N1 - Pieper, Ursula Eswar, Narayanan Braberg, Hannes Madhusudhan, M S Davis, Fred P Stuart, Ashley C Mirkovic, Nebojsa Rossi, Andrea Marti-Renom, Marc A Fiser, Andras Webb, Ben Greenblatt, Daniel Huang, Conrad C Ferrin, Thomas E Sali, Andrej P41 RR01081/RR/NCRR NIH HHS/United States P50 GM62529/GM/NIGMS NIH HHS/United States R01 GM 54762/GM/NIGMS NIH HHS/United States R33 CA84699/CA/NCI NIH HHS/United States Research Support, Non-U.S. Gov’t Research Support, U.S. Gov’t, P.H.S. England Nucleic acids research Nucleic Acids Res. 2004 Jan 1;32(Database issue):D217-22. ER - TY - JOUR T1 - Phylogenomics and the number of characters required for obtaining an accurate phylogeny of eukaryote model species JF - Bioinformatics Y1 - 2004 A1 - H. Dopazo A1 - J. Santoyo A1 - Dopazo, J. AB -

MOTIVATION: Through the most extensive phylogenomic analysis carried out to date, complete genomes of 11 eukaryotic species have been examined in order to find the homologous of more than 25,000 amino acid sequences. These sequences correspond to the exons of more than 3000 genes and were used as presence/absence characters to test one of the most controversial hypotheses concerning animal evolution, namely the Ecdysozoa hypothesis. Distance, maximum parsimony and Bayesian methods of phylogenetic reconstruction were used to test the hypothesis. RESULTS: The reliability of the ecdysozoa, grouping arthropods and nematodes in a single clade was unequivocally rejected in all the consensus trees. The Coelomata clade, grouping arthropods and chordates, was supported by the highest statistical confidence in all the reconstructions. The study of the dependence of the genomes’ tree accuracy on the number of exons used, demonstrated that an unexpectedly larger number of characters are necessary to obtain robust phylogenies. Previous studies supporting ecdysozoa, could not guarantee an accurate phylogeny because the number of characters used was clearly below the minimum required.

VL - 20 Suppl 1 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15262789 N1 -

Dopazo, Hernan Santoyo, Javier Dopazo, Joaquin Research Support, Non-U.S. Gov’t England Bioinformatics (Oxford, England) Bioinformatics. 2004 Aug 4;20 Suppl 1:i116-21.

ER - TY - JOUR T1 - PupaSNP Finder: a web tool for finding SNPs with putative effect at transcriptional level JF - Nucleic Acids Res Y1 - 2004 A1 - L. Conde A1 - Vaquerizas, J. M. A1 - J. Santoyo A1 - Fatima Al-Shahrour A1 - Ruiz-Llorente, S. A1 - M. Robledo A1 - Dopazo, J. KW - Amino Acid Substitution Binding Sites Humans Internet Phenotype *Polymorphism KW - Genetic KW - Single Nucleotide RNA Splicing *Software Transcription Factors/metabolism *Transcription AB - We have developed a web tool, PupaSNP Finder (PupaSNP for short), for high-throughput searching for single nucleotide polymorphisms (SNPs) with potential phenotypic effect. PupaSNP takes as its input lists of genes (or generates them from chromosomal coordinates) and retrieves SNPs that could affect the conserved regions that the cellular machinery uses for the correct processing of genes (intron/exon boundaries or exonic splicing enhancers), predicted transcription factor binding sites (TFBS) and changes in amino acids in the proteins. The program uses the mapping of SNPs in the genome provided by Ensembl. Additionally, user-defined SNPs (not yet mapped in the genome) can be easily provided to the program. Also, additional functional information from Gene Ontology, OMIM and homologies in other model organisms is provided. In contrast to other programs already available, which focus only on SNPs with possible effect in the protein, PupaSNP includes SNPs with possible transcriptional effect. PupaSNP will be of significant help in studies of multifactorial disorders, where the use of functional SNPs will increase the sensitivity of identification of the genes responsible for the disease. The PupaSNP web interface is accessible through http://pupasnp.bioinfo.cnio.es. VL - 32 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15215388 N1 - Conde, Lucia Vaquerizas, Juan M Santoyo, Javier Al-Shahrour, Fatima Ruiz-Llorente, Sergio Robledo, Mercedes Dopazo, Joaquin England Nucleic acids research Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W242-8. ER - TY - JOUR T1 - Structure-based assessment of missense mutations in human BRCA1: implications for breast and ovarian cancer predisposition JF - Cancer Res Y1 - 2004 A1 - Mirkovic, N. A1 - M. A. Marti-Renom A1 - Weber, B. L. A1 - Sali, A. A1 - Monteiro, A. N. KW - BRCA1 Genetic Predisposition to Disease Humans *Mutation KW - BRCA1 Protein/*chemistry/genetics Breast Neoplasms/*genetics Female *Genes KW - Missense Ovarian Neoplasms/*genetics Pedigree Protein Conformation Structure-Activity Relationship Transcriptional Activation AB - The BRCA1 gene from individuals at risk of breast and ovarian cancers can be screened for the presence of mutations. However, the cancer association of most alleles carrying missense mutations is unknown, thus creating significant problems for genetic counseling. To increase our ability to identify cancer-associated mutations in BRCA1, we set out to use the principles of protein three-dimensional structure as well as the correlation between the cancer-associated mutations and those that abolish transcriptional activation. Thirty-one of 37 missense mutations of known impact on the transcriptional activation function of BRCA1 are readily rationalized in structural terms. Loss-of-function mutations involve nonconservative changes in the core of the BRCA1 C-terminus (BRCT) fold or are localized in a groove that presumably forms a binding site involved in the transcriptional activation by BRCA1; mutations that do not abolish transcriptional activation are either conservative changes in the core or are on the surface outside of the putative binding site. Next, structure-based rules for predicting functional consequences of a given missense mutation were applied to 57 germ-line BRCA1 variants of unknown cancer association. Such a structure-based approach may be helpful in an integrated effort to identify mutations that predispose individuals to cancer. VL - 64 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15172985 N1 - Mirkovic, Nebojsa Marti-Renom, Marc A Weber, Barbara L Sali, Andrej Monteiro, Alvaro N A CA92309/CA/NCI NIH HHS/United States GM54762/GM/NIGMS NIH HHS/United States GM61390/GM/NIGMS NIH HHS/United States Research Support, Non-U.S. Gov’t Research Support, U.S. Gov’t, Non-P.H.S. Research Support, U.S. Gov’t, P.H.S. United States Cancer research Cancer Res. 2004 Jun 1;64(11):3790-7. ER - TY - JOUR T1 - EVA: Evaluation of protein structure prediction servers JF - Nucleic Acids Res Y1 - 2003 A1 - Koh, I. Y. A1 - Eyrich, V. A. A1 - M. A. Marti-Renom A1 - Przybylski, D. A1 - Madhusudhan, M. S. A1 - Eswar, N. A1 - Grana, O. A1 - Pazos, F. A1 - Valencia, A. A1 - Sali, A. A1 - Rost, B. KW - Automation Databases KW - Protein KW - Protein Internet *Protein Conformation Protein Folding Protein Structure KW - Protein Structural Homology KW - Secondary Proteins/chemistry Reproducibility of Results *Sequence Analysis AB - EVA (http://cubic.bioc.columbia.edu/eva/) is a web server for evaluation of the accuracy of automated protein structure prediction methods. The evaluation is updated automatically each week, to cope with the large number of existing prediction servers and the constant changes in the prediction methods. EVA currently assesses servers for secondary structure prediction, contact prediction, comparative protein structure modelling and threading/fold recognition. Every day, sequences of newly available protein structures in the Protein Data Bank (PDB) are sent to the servers and their predictions are collected. The predictions are then compared to the experimental structures once a week; the results are published on the EVA web pages. Over time, EVA has accumulated prediction results for a large number of proteins, ranging from hundreds to thousands, depending on the prediction method. This large sample assures that methods are compared reliably. As a result, EVA provides useful information to developers as well as users of prediction methods. VL - 31 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12824315 N1 - Koh, Ingrid Y Y Eyrich, Volker A Marti-Renom, Marc A Przybylski, Dariusz Madhusudhan, Mallur S Eswar, Narayanan Grana, Osvaldo Pazos, Florencio Valencia, Alfonso Sali, Andrej Rost, Burkhard 1-P50-GM62413-01/GM/NIGMS NIH HHS/United States 5-P20-LM7276/LM/NLM NIH HHS/United States P50 GM62529/GM/NIGMS NIH HHS/United States R01 GM54762/GM/NIGMS NIH HHS/United States R01-GM63029-01/GM/NIGMS NIH HHS/United States Research Support, Non-U.S. Gov’t Research Support, U.S. Gov’t, Non-P.H.S. Research Support, U.S. Gov’t, P.H.S. England Nucleic acids research Nucleic Acids Res. 2003 Jul 1;31(13):3311-5. ER - TY - JOUR T1 - GEPAS: A web-based resource for microarray gene expression data analysis JF - Nucleic Acids Res Y1 - 2003 A1 - Herrero, J. A1 - Fatima Al-Shahrour A1 - Diaz-Uriarte, R. A1 - A. Mateos A1 - Vaquerizas, J. M. A1 - J. Santoyo A1 - Dopazo, J. KW - gepas KW - microarray data analysis AB -

We present a web-based pipeline for microarray gene expression profile analysis, GEPAS, which stands for Gene Expression Profile Analysis Suite (http://gepas.bioinfo.cnio.es). GEPAS is composed of different interconnected modules which include tools for data pre-processing, two-conditions comparison, unsupervised and supervised clustering (which include some of the most popular methods as well as home made algorithms) and several tests for differential gene expression among different classes, continuous variables or survival analysis. A multiple purpose tool for data mining, based on Gene Ontology, is also linked to the tools, which constitutes a very convenient way of analysing clustering results. On-line tutorials are available from our main web server (http://bioinfo.cnio.es).

VL - 31 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12824345 N1 -

Herrero, Javier Al-Shahrour, Fatima Diaz-Uriarte, Ramon Mateos, Alvaro Vaquerizas, Juan M Santoyo, Javier Dopazo, Joaquin Research Support, Non-U.S. Gov’t England Nucleic acids research Nucleic Acids Res. 2003 Jul 1;31(13):3461-7.

ER - TY - JOUR T1 - ModView, visualization of multiple protein sequences and structures JF - Bioinformatics Y1 - 2003 A1 - Ilyin, V. A. A1 - Pieper, U. A1 - Stuart, A. C. A1 - M. A. Marti-Renom A1 - McMahan, L. A1 - Sali, A. KW - *Database Management Systems Documentation/methods Imaging KW - Protein/*methods *User-Computer Interface KW - Three-Dimensional/methods Protein Conformation Proteins/*chemistry/genetics Sequence Alignment/*methods Sequence Analysis AB - SUMMARY: We describe ModView, a web application for visualization of multiple protein sequences and structures. ModView integrates a multiple structure viewer, a multiple sequence alignment editor, and a database querying engine. It is possible to interactively manipulate hundreds of proteins, to visualize conservative and variable residues, active and binding sites, fragments, and domains in protein families, as well as to display large macromolecular complexes such as ribosomes or viruses. As a Netscape plug-in, ModView can be included in HTML pages along with text and figures, which makes it useful for teaching and presentations. ModView is also suitable as a graphical interface to various databases because it can be controlled through JavaScript commands and called from CGI scripts. AVAILABILITY: ModView is available at http://guitar.rockefeller.edu/modview. VL - 19 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12499313 N1 - Ilyin, Valentin A Pieper, Ursula Stuart, Ashley C Marti-Renom, Marc A McMahan, Linda Sali, Andrej P50-GM62529/GM/NIGMS NIH HHS/United States Research Support, Non-U.S. Gov’t Research Support, U.S. Gov’t, P.H.S. England Bioinformatics (Oxford, England) Bioinformatics. 2003 Jan;19(1):165-6. ER - TY - JOUR T1 - Tools for comparative protein structure modeling and analysis JF - Nucleic Acids Res Y1 - 2003 A1 - Eswar, N. A1 - John, B. A1 - Mirkovic, N. A1 - Fiser, A. A1 - Ilyin, V. A. A1 - Pieper, U. A1 - Stuart, A. C. A1 - M. A. Marti-Renom A1 - Madhusudhan, M. S. A1 - Yerkovich, B. A1 - Sali, A. KW - Amino Acid *Software *Structural Homology KW - Internet Models KW - Molecular Protein Folding Proteins/chemistry Reproducibility of Results Sequence Alignment Sequence Homology KW - Protein Systems Integration AB - The following resources for comparative protein structure modeling and analysis are described (http://salilab.org): MODELLER, a program for comparative modeling by satisfaction of spatial restraints; MODWEB, a web server for automated comparative modeling that relies on PSI-BLAST, IMPALA and MODELLER; MODLOOP, a web server for automated loop modeling that relies on MODELLER; MOULDER, a CPU intensive protocol of MODWEB for building comparative models based on distant known structures; MODBASE, a comprehensive database of annotated comparative models for all sequences detectably related to a known structure; MODVIEW, a Netscape plugin for Linux that integrates viewing of multiple sequences and structures; and SNPWEB, a web server for structure-based prediction of the functional impact of a single amino acid substitution. VL - 31 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12824331 N1 - Eswar, Narayanan John, Bino Mirkovic, Nebojsa Fiser, Andras Ilyin, Valentin A Pieper, Ursula Stuart, Ashley C Marti-Renom, Marc A Madhusudhan, M S Yerkovich, Bozidar Sali, Andrej P50 GM62529/GM/NIGMS NIH HHS/United States R01 GM 54762/GM/NIGMS NIH HHS/United States R33 CA84699/CA/NCI NIH HHS/United States Research Support, Non-U.S. Gov’t Research Support, U.S. Gov’t, P.H.S. England Nucleic acids research Nucleic Acids Res. 2003 Jul 1;31(13):3375-80. ER - TY - CHAP T1 - Using Gene Ontology on genome-scale studies to find significant associations of biologically relevant terms to group of genes T2 - Neural Networks for Signal Processing XIII Y1 - 2003 A1 - Fatima Al-Shahrour A1 - Herrero, J. A1 - A. Mateos A1 - J. Santoyo A1 - Díaz-Uriarte, R A1 - Dopazo, J. KW - babelomics JF - Neural Networks for Signal Processing XIII PB - IEEE Press CY - New York, USA ER - TY - JOUR T1 - Identification of genes involved in resistance to interferon-alpha in cutaneous T-cell lymphoma JF - Am J Pathol Y1 - 2002 A1 - Tracey, L. A1 - Villuendas, R. A1 - Ortiz, P. A1 - Dopazo, A. A1 - Spiteri, I. A1 - Lombardia, L. A1 - Rodriguez-Peralto, J. L. A1 - Fernandez-Herrera, J. A1 - Hernandez, A. A1 - Fraga, J. A1 - Dominguez, O. A1 - Herrero, J. A1 - Alonso, M. A. A1 - Dopazo, J. A1 - Piris, M. A. KW - Antineoplastic Agents/*pharmacology/therapeutic use Carrier Proteins/biosynthesis/genetics DNA-Binding Proteins/biosynthesis/genetics Drug Resistance KW - Biological Oligonucleotide Array Sequence Analysis RNA KW - Cultured KW - Cutaneous/diagnosis/drug therapy/*genetics/metabolism *Membrane Glycoproteins Models KW - Interleukin-1 Reproducibility of Results STAT1 Transcription Factor STAT3 Transcription Factor Trans-Activators/biosynthesis/genetics Tumor Cells KW - Neoplasm Gene Expression Profiling *Gene Expression Regulation KW - Neoplasm/biosynthesis *Receptors KW - Neoplastic Humans Interferon-alpha/*pharmacology/therapeutic use Kinetics Lymphoma KW - T-Cell AB - Interferon-alpha therapy has been shown to be active in the treatment of mycosis fungoides although the individual response to this therapy is unpredictable and dependent on essentially unknown factors. In an effort to better understand the molecular mechanisms of interferon-alpha resistance we have developed an interferon-alpha resistant variant from a sensitive cutaneous T-cell lymphoma cell line. We have performed expression analysis to detect genes differentially expressed between both variants using a cDNA microarray including 6386 cancer-implicated genes. The experiments showed that resistance to interferon-alpha is consistently associated with changes in the expression of a set of 39 genes, involved in signal transduction, apoptosis, transcription regulation, and cell growth. Additional studies performed confirm that STAT1 and STAT3 expression and interferon-alpha induction and activation are not altered between both variants. The gene MAL, highly overexpressed by resistant cells, was also found to be expressed by tumoral cells in a series of cutaneous T-cell lymphoma patients treated with interferon-alpha and/or photochemotherapy. MAL expression was associated with longer time to complete remission. Time-course experiments of the sensitive and resistant cells showed a differential expression of a subset of genes involved in interferon-response (1 to 4 hours), cell growth and apoptosis (24 to 48 hours.), and signal transduction. VL - 161 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12414529 N1 - Tracey, Lorraine Villuendas, Raquel Ortiz, Pablo Dopazo, Ana Spiteri, Inmaculada Lombardia, Luis Rodriguez-Peralto, Jose L Fernandez-Herrera, Jesus Hernandez, Almudena Fraga, Javier Dominguez, Orlando Herrero, Javier Alonso, Miguel A Dopazo, Joaquin Piris, Miguel A Research Support, Non-U.S. Gov’t United States The American journal of pathology Am J Pathol. 2002 Nov;161(5):1825-37. ER - TY - JOUR T1 - Reliability of assessment of protein structure prediction methods JF - Structure Y1 - 2002 A1 - M. A. Marti-Renom A1 - Madhusudhan, M. S. A1 - Fiser, A. A1 - Rost, B. A1 - Sali, A. KW - *Computer Simulation Humans *Models KW - Molecular *Protein Conformation Proteins/*chemistry Reproducibility of Results AB -

The reliability of ranking of protein structure modeling methods is assessed. The assessment is based on the parametric Student’s t test and the nonparametric Wilcox signed rank test of statistical significance of the difference between paired samples. The approach is applied to the ranking of the comparative modeling methods tested at the fourth meeting on Critical Assessment of Techniques for Protein Structure Prediction (CASP). It is shown that the 14 CASP4 test sequences may not be sufficient to reliably distinguish between the top eight methods, given the model quality differences and their standard deviations. We suggest that CASP needs to be supplemented by an assessment of protein structure prediction methods that is automated, continuous in time, based on several criteria applied to a large number of models, and with quantitative statistical reliability assigned to each characterization.

VL - 10 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12005441 N1 -

Marti-Renom, Marc A Madhusudhan, M S Fiser, Andras Rost, Burkhard Sali, Andrej GM 54762/GM/NIGMS NIH HHS/United States GM62413/GM/NIGMS NIH HHS/United States Comparative Study Research Support, Non-U.S. Gov’t Research Support, U.S. Gov’t, P.H.S. United States Structure (London, England : 1993) Structure. 2002 Mar;10(3):435-40.

ER - TY - JOUR T1 - Systematic learning of gene functional classes from DNA array expression data by using multilayer perceptrons JF - Genome Res Y1 - 2002 A1 - A. Mateos A1 - Dopazo, J. A1 - Jansen, R. A1 - Tu, Y. A1 - Gerstein, M. A1 - Stolovitzky, G. KW - Algorithms Artificial Intelligence Citric Acid Cycle/genetics Cluster Analysis Computational Biology/methods Gene Expression Profiling/*methods/statistics & numerical data Genes/*physiology Genetic Heterogeneity Neural Networks (Computer) Oligonucleotide AB - Recent advances in microarray technology have opened new ways for functional annotation of previously uncharacterised genes on a genomic scale. This has been demonstrated by unsupervised clustering of co-expressed genes and, more importantly, by supervised learning algorithms. Using prior knowledge, these algorithms can assign functional annotations based on more complex expression signatures found in existing functional classes. Previously, support vector machines (SVMs) and other machine-learning methods have been applied to a limited number of functional classes for this purpose. Here we present, for the first time, the comprehensive application of supervised neural networks (SNNs) for functional annotation. Our study is novel in that we report systematic results for 100 classes in the Munich Information Center for Protein Sequences (MIPS) functional catalog. We found that only 10% of these are learnable (based on the rate of false negatives). A closer analysis reveals that false positives (and negatives) in a machine-learning context are not necessarily "false" in a biological sense. We show that the high degree of interconnections among functional classes confounds the signatures that ought to be learned for a unique class. We term this the "Borges effect" and introduce two new numerical indices for its quantification. Our analysis indicates that classification systems with a lower Borges effect are better suitable for machine learning. Furthermore, we introduce a learning procedure for combining false positives with the original class. We show that in a few iterations this process converges to a gene set that is learnable with considerably low rates of false positives and negatives and contains genes that are biologically related to the original class, allowing for a coarse reconstruction of the interactions between associated biological pathways. We exemplify this methodology using the well-studied tricarboxylic acid cycle. VL - 12 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12421757 N1 - Mateos, Alvaro Dopazo, Joaquin Jansen, Ronald Tu, Yuhai Gerstein, Mark Stolovitzky, Gustavo Research Support, Non-U.S. Gov’t Validation Studies United States Genome research Genome Res. 2002 Nov;12(11):1703-15. ER - TY - JOUR T1 - Use of single point mutations in domain I of beta 2-glycoprotein I to determine fine antigenic specificity of antiphospholipid autoantibodies JF - J Immunol Y1 - 2002 A1 - Iverson, G. M. A1 - Reddel, S. A1 - Victoria, E. J. A1 - Cockerill, K. A. A1 - Wang, Y. X. A1 - M. A. Marti-Renom A1 - Sali, A. A1 - Marquis, D. M. A1 - Krilis, S. A. A1 - Linnik, M. D. KW - Amino Acid Substitution/genetics Antibodies KW - Antibody/genetics Binding KW - Antiphospholipid/blood/*metabolism Antibodies KW - Competitive/genetics/immunology Enzyme-Linked Immunosorbent Assay/methods Epitopes/analysis/*immunology/metabolism Glycine/genetics Glycoproteins/biosynthesis/*genetics/*immunology/isolation & purification/metabolism Humans Models KW - Molecular Peptide Fragments/genetics/immunology/isolation & purification/metabolism *Point Mutation Protein Structure KW - Monoclonal/blood/metabolism Antiphospholipid Syndrome/immunology Arginine/genetics *Binding Sites KW - Tertiary/genetics Recombinant Proteins/biosynthesis/immunology/isolation & purification/metabolism Static Electricity beta 2-Glycoprotein I AB - Autoantibodies against beta(2)-glycoprotein I (beta(2)GPI) appear to be a critical feature of the antiphospholipid syndrome (APS). As determined using domain deletion mutants, human autoantibodies bind to the first of five domains present in beta(2)GPI. In this study the fine detail of the domain I epitope has been examined using 10 selected mutants of whole beta(2)GPI containing single point mutations in the first domain. The binding to beta(2)GPI was significantly affected by a number of single point mutations in domain I, particularly by mutations in the region of aa 40-43. Molecular modeling predicted these mutations to affect the surface shape and electrostatic charge of a facet of domain I. Mutation K19E also had an effect, albeit one less severe and involving fewer patients. Similar results were obtained in two different laboratories using affinity-purified anti-beta(2)GPI in a competitive inhibition ELISA and with whole serum in a direct binding ELISA. This study confirms that anti-beta(2)GPI autoantibodies bind to domain I, and that the charged surface patch defined by residues 40-43 contributes to a dominant target epitope. VL - 169 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12471146 N1 - Iverson, G Michael Reddel, Stephen Victoria, Edward J Cockerill, Keith A Wang, Ying-Xia Marti-Renom, Marc A Sali, Andrej Marquis, David M Krilis, Steven A Linnik, Matthew D GM54762/GM/NIGMS NIH HHS/United States Research Support, Non-U.S. Gov’t Research Support, U.S. Gov’t, P.H.S. United States Journal of immunology (Baltimore, Md. : 1950) J Immunol. 2002 Dec 15;169(12):7097-103. ER - TY - JOUR T1 - DBAli: a database of protein structure alignments JF - Bioinformatics Y1 - 2001 A1 - M. A. Marti-Renom A1 - Ilyin, V. A. A1 - Sali, A. KW - Computational Biology *Databases KW - Protein Proteins/*chemistry/*genetics Sequence Alignment/*statistics & numerical data Software Software Design AB - SUMMARY: The DBAli database includes approximately 35000 alignments of pairs of protein structures from SCOP (Lo Conte et al., Nucleic Acids Res., 28, 257-259, 2000) and CE (Shindyalov and Bourne, Protein Eng., 11, 739-747, 1998). DBAli is linked to several resources, including Compare3D (Shindyalov and Bourne, http://www.sdsc.edu/pb/software.htm, 1999) and ModView (Ilyin and Sali, http://guitar.rockefeller.edu/ModView/, 2001) for visualizing sequence alignments and structure superpositions. A flexible search of DBAli by protein sequence and structure properties allows construction of subsets of alignments suitable for a number of applications, such as benchmarking of sequence-sequence and sequence-structure alignment methods under a variety of conditions. AVAILABILITY: http://guitar.rockefeller.edu/DBAli/ VL - 17 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11524379 N1 - Marti-Renom, M A Ilyin, V A Sali, A Research Support, Non-U.S. Gov’t Research Support, U.S. Gov’t, P.H.S. England Bioinformatics (Oxford, England) Bioinformatics. 2001 Aug;17(8):746-7. ER - TY - JOUR T1 - EVA: continuous automatic evaluation of protein structure prediction servers JF - Bioinformatics Y1 - 2001 A1 - Eyrich, V. A. A1 - M. A. Marti-Renom A1 - Przybylski, D. A1 - Madhusudhan, M. S. A1 - Fiser, A. A1 - Pazos, F. A1 - Valencia, A. A1 - Sali, A. A1 - Rost, B. KW - Automation Internet *Protein Conformation Proteins/*analysis *Software AB - Evaluation of protein structure prediction methods is difficult and time-consuming. Here, we describe EVA, a web server for assessing protein structure prediction methods, in an automated, continuous and large-scale fashion. Currently, EVA evaluates the performance of a variety of prediction methods available through the internet. Every week, the sequences of the latest experimentally determined protein structures are sent to prediction servers, results are collected, performance is evaluated, and a summary is published on the web. EVA has so far collected data for more than 3000 protein chains. These results may provide valuable insight to both developers and users of prediction methods. AVAILABILITY: http://cubic.bioc.columbia.edu/eva. CONTACT: eva@cubic.bioc.columbia.edu VL - 17 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11751240 N1 - Eyrich, V A Marti-Renom, M A Przybylski, D Madhusudhan, M S Fiser, A Pazos, F Valencia, A Sali, A Rost, B England Bioinformatics (Oxford, England) Bioinformatics. 2001 Dec;17(12):1242-3. ER - TY - JOUR T1 - Expression of the Caldariomyces fumago chloroperoxidase in Aspergillus niger and characterization of the recombinant enzyme JF - J Biol Chem Y1 - 2001 A1 - A. Conesa A1 - van De Velde, F. A1 - van Rantwijk, F. A1 - Sheldon, R. A. A1 - van den Hondel, C. A. A1 - Punt, P. J. KW - Aspergillus niger/enzymology/genetics Catalysis Chloride Peroxidase/biosynthesis/*genetics Fungal Proteins/biosynthesis/*genetics Recombinant Proteins/biosynthesis/genetics Substrate Specificity AB - The Caldariomyces fumago chloroperoxidase was successfully expressed in Aspergillus niger. The recombinant enzyme was produced in the culture medium as an active protein and could be purified by a three-step purification procedure. The catalytic behavior of recombinant chloroperoxidase (rCPO) was studied and compared with that of native CPO. The specific chlorination activity (47 units/nmol) of rCPO and its pH optimum (pH 2.75) were very similar to those of native CPO. rCPO catalyzes the oxidation of various substrates in comparable yields and selectivities to native CPO. Indole was oxidized to 2-oxindole with 99% selectivity and thioanisole to the corresponding R-sulfoxide (enantiomeric excess >98%). Incorporation of (18)O from labeled H(2)18O(2) into the oxidized products was 100% in both cases. VL - 276 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11278701 N1 - Conesa, A van De Velde, F van Rantwijk, F Sheldon, R A van Den Hondel, C A Punt, P J Research Support, Non-U.S. Gov’t United States The Journal of biological chemistry J Biol Chem. 2001 May 25;276(21):17635-40. Epub 2001 Feb 22. ER - TY - JOUR T1 - Identification of optimal regions for phylogenetic studies on VP1 gene of foot-and-mouth disease virus: analysis of types A and O Argentinean viruses JF - Vet Res Y1 - 2001 A1 - Nunez, J. I. A1 - Martin, M. J. A1 - Piccone, M. E. A1 - Carrillo, E. A1 - Palma, E. L. A1 - Dopazo, J. A1 - Sobrino, F. KW - Amino Acid Sequence Animals Aphthovirus/classification/*genetics Base Sequence Capsid/chemistry/*genetics Capsid Proteins DNA KW - Complementary/chemistry Molecular Sequence Data *Phylogeny Polymerase Chain Reaction RNA KW - Viral/chemistry/genetics Serotyping Viral Proteins/analysis/*genetics AB - An analysis of the informative content of sequence stretches on the foot-and-mouth disease virus (FMDV) VPI gene was applied to two important viral serotypes: A and O. Several sequence regions were identified to allow the reconstruction of phylogenetic trees equivalent to those derived from the whole VPI gene. The optimal informative regions for sequence windows of 150 to 250 nt were predicted between positions 250 and 550 of the gene. The sequences spanning the 250 nt of the 3’ end (positions 400 to 650), extensively used for FMDV phylogenetic analyses, showed a lower informative content. In spite of this, the use of sequences from this region allowed the derivation of phylogenetic trees for type A and type O FMDVs which showed topologies similar to those previously reported for the whole VP1 gene. When the sequences determined for viruses isolated in Argentina, between 1990 and 1993, were included in these analyses, the results obtained revealed features of the circulation of type A and type O viruses in the field, in the months that preceded the eradication of the disease in this country. Type A viruses were closely related to an Argentinean vaccine strain, and defined an independent cluster within this serotype. Among the type O viruses analysed, two groups were distinguished; one was closely related to the South American vaccine strains, while the other was grouped with viruses of the O3 subtype. In addition, a detailed phylogeny for type A FMDV is presented. VL - 32 UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11254175 N1 - Nunez, J I Martin, M J Piccone, M E Carrillo, E Palma, E L Dopazo, J Sobrino, F Research Support, Non-U.S. Gov’t France Veterinary research Vet Res. 2001 Jan-Feb;32(1):31-45. ER -