Sergi Beltran
Pompeu Fabra University
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Publication
Featured researches published by Sergi Beltran.
Nature | 2013
Tuuli Lappalainen; Michael Sammeth; Marc R. Friedländer; Peter A. C. 't Hoen; Jean Monlong; Manuel A. Rivas; Mar Gonzàlez-Porta; Natalja Kurbatova; Thasso Griebel; Pedro G. Ferreira; Matthias Barann; Thomas Wieland; Liliana Greger; M. van Iterson; Jonas Carlsson Almlöf; Paolo Ribeca; Irina Pulyakhina; Daniela Esser; Thomas Giger; Andrew Tikhonov; Marc Sultan; G. Bertier; Daniel G. MacArthur; Monkol Lek; Esther Lizano; Henk P. J. Buermans; Ismael Padioleau; Thomas Schwarzmayr; Olof Karlberg; Halit Ongen
Genome sequencing projects are discovering millions of genetic variants in humans, and interpretation of their functional effects is essential for understanding the genetic basis of variation in human traits. Here we report sequencing and deep analysis of messenger RNA and microRNA from lymphoblastoid cell lines of 462 individuals from the 1000 Genomes Project—the first uniformly processed high-throughput RNA-sequencing data from multiple human populations with high-quality genome sequences. We discover extremely widespread genetic variation affecting the regulation of most genes, with transcript structure and expression level variation being equally common but genetically largely independent. Our characterization of causal regulatory variation sheds light on the cellular mechanisms of regulatory and loss-of-function variation, and allows us to infer putative causal variants for dozens of disease-associated loci. Altogether, this study provides a deep understanding of the cellular mechanisms of transcriptome variation and of the landscape of functional variants in the human genome.
Human Mutation | 2015
Anthony A. Philippakis; Danielle R. Azzariti; Sergi Beltran; Anthony J. Brookes; Catherine A. Brownstein; Michael Brudno; Han G. Brunner; Orion J. Buske; Knox Carey; Cassie Doll; Sergiu Dumitriu; Stephanie O.M. Dyke; Johan T. den Dunnen; Helen V. Firth; Richard A. Gibbs; Marta Girdea; Michael Gonzalez; Melissa Haendel; Ada Hamosh; Ingrid A. Holm; Lijia Huang; Ben Hutton; Joel B. Krier; Andriy Misyura; Christopher J. Mungall; Justin Paschall; Benedict Paten; Peter N. Robinson; François Schiettecatte; Nara Sobreira
There are few better examples of the need for data sharing than in the rare disease community, where patients, physicians, and researchers must search for “the needle in a haystack” to uncover rare, novel causes of disease within the genome. Impeding the pace of discovery has been the existence of many small siloed datasets within individual research or clinical laboratory databases and/or disease‐specific organizations, hoping for serendipitous occasions when two distant investigators happen to learn they have a rare phenotype in common and can “match” these cases to build evidence for causality. However, serendipity has never proven to be a reliable or scalable approach in science. As such, the Matchmaker Exchange (MME) was launched to provide a robust and systematic approach to rare disease gene discovery through the creation of a federated network connecting databases of genotypes and rare phenotypes using a common application programming interface (API). The core building blocks of the MME have been defined and assembled. Three MME services have now been connected through the API and are available for community use. Additional databases that support internal matching are anticipated to join the MME network as it continues to grow.
Nature Genetics | 2013
Cristina Balbás-Martínez; Ana Sagrera; Enrique Carrillo-de-Santa-Pau; Julie Earl; Mirari Marquez; Miguel Vazquez; Eleonora Lapi; Francesc Castro-Giner; Sergi Beltran; Mònica Bayés; Alfredo Carrato; Juan C. Cigudosa; Orlando Domínguez; Marta Gut; Jesús Herranz; Nuria Juanpere; Manolis Kogevinas; Xavier Langa; Elena Lopez-Knowles; José A. Lorente; Josep Lloreta; David G. Pisano; Laia Richart; Daniel Rico; Rocío Salgado; Adonina Tardón; Stephen J. Chanock; Simon Heath; Alfonso Valencia; Ana Losada
Urothelial bladder cancer (UBC) is heterogeneous at the clinical, pathological and genetic levels. Tumor invasiveness (T) and grade (G) are the main factors associated with outcome and determine patient management. A discovery exome sequencing screen (n = 17), followed by a prevalence screen (n = 60), identified new genes mutated in this tumor coding for proteins involved in chromatin modification (MLL2, ASXL2 and BPTF), cell division (STAG2, SMC1A and SMC1B) and DNA repair (ATM, ERCC2 and FANCA). STAG2, a subunit of cohesin, was significantly and commonly mutated or lost in UBC, mainly in tumors of low stage or grade, and its loss was associated with improved outcome. Loss of expression was often observed in chromosomally stable tumors, and STAG2 knockdown in bladder cancer cells did not increase aneuploidy. STAG2 reintroduction in non-expressing cells led to reduced colony formation. Our findings indicate that STAG2 is a new UBC tumor suppressor acting through mechanisms that are different from its role in preventing aneuploidy.
Nature Communications | 2015
Tyler Alioto; Ivo Buchhalter; Sophia Derdak; Barbara Hutter; Matthew Eldridge; Eivind Hovig; Lawrence E. Heisler; Timothy Beck; Jared T. Simpson; Laurie Tonon; Anne Sophie Sertier; Ann Marie Patch; Natalie Jäger; Philip Ginsbach; Ruben M. Drews; Nagarajan Paramasivam; Rolf Kabbe; Sasithorn Chotewutmontri; Nicolle Diessl; Christopher Previti; Sabine Schmidt; Benedikt Brors; Lars Feuerbach; Michael Heinold; Susanne Gröbner; Andrey Korshunov; Patrick Tarpey; Adam Butler; Jonathan Hinton; David Jones
As whole-genome sequencing for cancer genome analysis becomes a clinical tool, a full understanding of the variables affecting sequencing analysis output is required. Here using tumour-normal sample pairs from two different types of cancer, chronic lymphocytic leukaemia and medulloblastoma, we conduct a benchmarking exercise within the context of the International Cancer Genome Consortium. We compare sequencing methods, analysis pipelines and validation methods. We show that using PCR-free methods and increasing sequencing depth to ∼100 × shows benefits, as long as the tumour:control coverage ratio remains balanced. We observe widely varying mutation call rates and low concordance among analysis pipelines, reflecting the artefact-prone nature of the raw data and lack of standards for dealing with the artefacts. However, we show that, using the benchmark mutation set we have created, many issues are in fact easy to remedy and have an immediate positive impact on mutation detection accuracy.
PLOS ONE | 2012
Patricia Pereiro; Pablo Balseiro; Alejandro Romero; Sonia Dios; Gabriel Forn-Cuní; Berta Fuste; Josep V. Planas; Sergi Beltran; Beatriz Novoa; Antonio Figueras
Background Turbot (Scophthalmus maximus L.) is an important aquacultural resource both in Europe and Asia. However, there is little information on gene sequences available in public databases. Currently, one of the main problems affecting the culture of this flatfish is mortality due to several pathogens, especially viral diseases which are not treatable. In order to identify new genes involved in immune defense, we conducted 454-pyrosequencing of the turbot transcriptome after different immune stimulations. Methodology/Principal Findings Turbot were injected with viral stimuli to increase the expression level of immune-related genes. High-throughput deep sequencing using 454-pyrosequencing technology yielded 915,256 high-quality reads. These sequences were assembled into 55,404 contigs that were subjected to annotation steps. Intriguingly, 55.16% of the deduced protein was not significantly similar to any sequences in the databases used for the annotation and only 0.85% of the BLASTx top-hits matched S. maximus protein sequences. This relatively low level of annotation is possibly due to the limited information for this specie and other flatfish in the database. These results suggest the identification of a large number of new genes in turbot and in fish in general. A more detailed analysis showed the presence of putative members of several innate and specific immune pathways. Conclusions/Significance To our knowledge, this study is the first transcriptome analysis using 454-pyrosequencing for turbot. Previously, there were only 12,471 EST and less of 1,500 nucleotide sequences for S. maximus in NCBI database. Our results provide a rich source of data (55,404 contigs and 181,845 singletons) for discovering and identifying new genes, which will serve as a basis for microarray construction, gene expression characterization and for identification of genetic markers to be used in several applications. Immune stimulation in turbot was very effective, obtaining an enormous variety of sequences belonging to genes involved in the defense mechanisms.
PLOS ONE | 2012
Rebeca Moreira; Pablo Balseiro; Josep V. Planas; Berta Fuste; Sergi Beltran; Beatriz Novoa; Antonio Figueras
Background The Manila clam (Ruditapes philippinarum) is a worldwide cultured bivalve species with important commercial value. Diseases affecting this species can result in large economic losses. Because knowledge of the molecular mechanisms of the immune response in bivalves, especially clams, is scarce and fragmentary, we sequenced RNA from immune-stimulated R. philippinarum hemocytes by 454-pyrosequencing to identify genes involved in their immune defense against infectious diseases. Methodology and Principal Findings High-throughput deep sequencing of R. philippinarum using 454 pyrosequencing technology yielded 974,976 high-quality reads with an average read length of 250 bp. The reads were assembled into 51,265 contigs and the 44.7% of the translated nucleotide sequences into protein were annotated successfully. The 35 most frequently found contigs included a large number of immune-related genes, and a more detailed analysis showed the presence of putative members of several immune pathways and processes like the apoptosis, the toll like signaling pathway and the complement cascade. We have found sequences from molecules never described in bivalves before, especially in the complement pathway where almost all the components are present. Conclusions This study represents the first transcriptome analysis using 454-pyrosequencing conducted on R. philippinarum focused on its immune system. Our results will provide a rich source of data to discover and identify new genes, which will serve as a basis for microarray construction and the study of gene expression as well as for the identification of genetic markers. The discovery of new immune sequences was very productive and resulted in a large variety of contigs that may play a role in the defense mechanisms of Ruditapes philippinarum.
Leukemia | 2014
Nerea Martínez; Carmen Almaraz; José P. Vaqué; Ignacio Varela; Sophia Derdak; Sergi Beltran; Manuela Mollejo; Y Campos-Martin; L Agueda; Andrea Rinaldi; I. Kwee; Marta Gut; J Blanc; David Oscier; Jonathan C. Strefford; J Martinez-Lopez; A Salar; Francesc Solé; José Luis Rodríguez-Peralto; C Diez-Tascón; J F García; Mario F. Fraga; Elena Sebastián; J Alvés; J Menárguez; J González-Carreró; L F Casado; Mònica Bayés; Francesco Bertoni; Ivo Gut
Splenic marginal zone lymphoma (SMZL) is a B-cell neoplasm whose molecular pathogenesis remains fundamentally unexplained, requiring more precise diagnostic markers. Previous molecular studies have revealed 7q loss and mutations of nuclear factor κB (NF-κB), B-cell receptor (BCR) and Notch signalling genes. We performed whole-exome sequencing in a series of SMZL cases. Results confirmed that SMZL is an entity distinct from other low-grade B-cell lymphomas, and identified mutations in multiple genes involved in marginal zone development, and others involved in NF-κB, BCR, chromatin remodelling and the cytoskeleton.
Development | 2012
Conchi Estarás; Naiara Akizu; Alejandra García; Sergi Beltran; Xavier de la Cruz; Marian A. Martínez-Balbás
Neural development requires crosstalk between signaling pathways and chromatin. In this study, we demonstrate that neurogenesis is promoted by an interplay between the TGFβ pathway and the H3K27me3 histone demethylase (HDM) JMJD3. Genome-wide analysis showed that JMJD3 is targeted to gene promoters by Smad3 in neural stem cells (NSCs) and is essential to activate TGFβ-responsive genes. In vivo experiments in chick spinal cord revealed that the generation of neurons promoted by Smad3 is dependent on JMJD3 HDM activity. Overall, these findings indicate that JMJD3 function is required for the TGFβ developmental program to proceed.
PLOS ONE | 2013
Arjan P. Palstra; Sergi Beltran; Erik Burgerhout; Sebastiaan A. Brittijn; Leonardo J. Magnoni; Christiaan V. Henkel; Hans J. Jansen; Guido van den Thillart; Herman P. Spaink; Josep V. Planas
Deep RNA sequencing (RNA-seq) was performed to provide an in-depth view of the transcriptome of red and white skeletal muscle of exercised and non-exercised rainbow trout (Oncorhynchus mykiss) with the specific objective to identify expressed genes and quantify the transcriptomic effects of swimming-induced exercise. Pubertal autumn-spawning seawater-raised female rainbow trout were rested (n = 10) or swum (n = 10) for 1176 km at 0.75 body-lengths per second in a 6,000-L swim-flume under reproductive conditions for 40 days. Red and white muscle RNA of exercised and non-exercised fish (4 lanes) was sequenced and resulted in 15–17 million reads per lane that, after de novo assembly, yielded 149,159 red and 118,572 white muscle contigs. Most contigs were annotated using an iterative homology search strategy against salmonid ESTs, the zebrafish Danio rerio genome and general Metazoan genes. When selecting for large contigs (>500 nucleotides), a number of novel rainbow trout gene sequences were identified in this study: 1,085 and 1,228 novel gene sequences for red and white muscle, respectively, which included a number of important molecules for skeletal muscle function. Transcriptomic analysis revealed that sustained swimming increased transcriptional activity in skeletal muscle and specifically an up-regulation of genes involved in muscle growth and developmental processes in white muscle. The unique collection of transcripts will contribute to our understanding of red and white muscle physiology, specifically during the long-term reproductive migration of salmonids.
BMC Developmental Biology | 2010
Enrique Blanco; Marina Ruiz-Romero; Sergi Beltran; Manel Bosch; Adrià Punset; Florenci Serras; Montserrat Corominas
BackgroundRegeneration is the ability of an organism to rebuild a body part that has been damaged or amputated, and can be studied at the molecular level using model organisms. Drosophila imaginal discs, which are the larval primordia of adult cuticular structures, are capable of undergoing regenerative growth after transplantation and in vivo culture into the adult abdomen.ResultsUsing expression profile analyses, we studied the regenerative behaviour of wing discs at 0, 24 and 72 hours after fragmentation and implantation into adult females. Based on expression level, we generated a catalogue of genes with putative role in wing disc regeneration, identifying four classes: 1) genes with differential expression within the first 24 hours; 2) genes with differential expression between 24 and 72 hours; 3) genes that changed significantly in expression levels between the two time periods; 4) genes with a sustained increase or decrease in their expression levels throughout regeneration. Among these genes, we identified members of the JNK and Notch signalling pathways and chromatin regulators. Through computational analysis, we recognized putative binding sites for transcription factors downstream of these pathways that are conserved in multiple Drosophilids, indicating a potential relationship between members of the different gene classes. Experimental data from genetic mutants provide evidence of a requirement of selected genes in wing disc regeneration.ConclusionsWe have been able to distinguish various classes of genes involved in early and late steps of the regeneration process. Our data suggests the integration of signalling pathways in the promoters of regulated genes.