Olivier Collin
French Institute for Research in Computer Science and Automation
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Publication
Featured researches published by Olivier Collin.
Insect Molecular Biology | 2010
Fabrice Legeai; Shuji Shigenobu; Jean-Pierre Gauthier; John K. Colbourne; Claude Rispe; Olivier Collin; Stephen Richards; Alex C. C. Wilson; Terence Murphy; Denis Tagu
AphidBase is a centralized bioinformatic resource that was developed to facilitate community annotation of the pea aphid genome by the International Aphid Genomics Consortium (IAGC). The AphidBase Information System designed to organize and distribute genomic data and annotations for a large international community was constructed using open source software tools from the Generic Model Organism Database (GMOD). The system includes Apollo and GBrowse utilities as well as a wiki, blast search capabilities and a full text search engine. AphidBase strongly supported community cooperation and coordination in the curation of gene models during community annotation of the pea aphid genome. AphidBase can be accessed at http://www.aphidbase.com.
Genome Biology | 2017
Thomas C. Mathers; Yazhou Chen; Gemy Kaithakottil; Fabrice Legeai; Sam T. Mugford; Patrice Baa-Puyoulet; Anthony Bretaudeau; Bernardo Clavijo; Stefano Colella; Olivier Collin; Tamas Dalmay; Thomas Derrien; Honglin Feng; Toni Gabaldón; Anna Jordan; Irene Julca; Graeme J. Kettles; Krissana Kowitwanich; Dominique Lavenier; Paolo Lenzi; Sara Lopez-Gomollon; Damian Loska; Daniel Mapleson; Florian Maumus; Simon Moxon; Daniel R.G. Price; Akiko Sugio; Manuella van Munster; Marilyne Uzest; Darren Waite
BackgroundThe prevailing paradigm of host-parasite evolution is that arms races lead to increasing specialisation via genetic adaptation. Insect herbivores are no exception and the majority have evolved to colonise a small number of closely related host species. Remarkably, the green peach aphid, Myzus persicae, colonises plant species across 40 families and single M. persicae clonal lineages can colonise distantly related plants. This remarkable ability makes M. persicae a highly destructive pest of many important crop species.ResultsTo investigate the exceptional phenotypic plasticity of M. persicae, we sequenced the M. persicae genome and assessed how one clonal lineage responds to host plant species of different families. We show that genetically identical individuals are able to colonise distantly related host species through the differential regulation of genes belonging to aphid-expanded gene families. Multigene clusters collectively upregulate in single aphids within two days upon host switch. Furthermore, we demonstrate the functional significance of this rapid transcriptional change using RNA interference (RNAi)-mediated knock-down of genes belonging to the cathepsin B gene family. Knock-down of cathepsin B genes reduced aphid fitness, but only on the host that induced upregulation of these genes.ConclusionsPrevious research has focused on the role of genetic adaptation of parasites to their hosts. Here we show that the generalist aphid pest M. persicae is able to colonise diverse host plant species in the absence of genetic specialisation. This is achieved through rapid transcriptional plasticity of genes that have duplicated during aphid evolution.
Biology of Reproduction | 2014
Frédéric Chalmel; Aurélie Lardenois; Bertrand Evrard; Antoine Rolland; Olivier Sallou; Marie Charlotte Dumargne; Isabelle Coiffec; Olivier Collin; Michael Primig; Bernard Jégou
ABSTRACT Mammalian spermatogenesis is a complex and highly orchestrated combination of processes in which male germline proliferation and differentiation result in the production of mature spermatozoa. If recent genome-wide studies have contributed to the in-depth analysis of the male germline protein-encoding transcriptome, little effort has yet been devoted to the systematic identification of novel unannotated transcribed regions expressed during mammalian spermatogenesis. We report high-resolution expression profiling of male germ cells in rat, using next-generation sequencing technology and highly enriched testicular cell populations. Among 20 424 high-confidence transcripts reconstructed, we defined a stringent set of 1419 long multi-exonic unannotated transcripts expressed in the testis (testis-expressed unannotated transcripts [TUTs]). TUTs were divided into 7 groups with different expression patterns. Most TUTs share many of the characteristics of vertebrate long noncoding RNAs (lncRNAs). We also markedly reinforced the finding that TUTs and known lncRNAs accumulate during the meiotic and postmeiotic stages of spermatogenesis in mammals and that X-linked meiotic TUTs do not escape the silencing effects of meiotic sex chromosome inactivation. Importantly, we discovered that TUTs and known lncRNAs with a peak expression during meiosis define a distinct class of noncoding transcripts that exhibit exons twice as long as those of other transcripts. Our study provides new insights in transcriptional profiling of the male germline and represents a high-quality resource for novel loci expressed during spermatogenesis that significantly contributes to rat genome annotation.
Nucleic Acids Research | 2012
Ramona Britto; Olivier Sallou; Olivier Collin; Grégoire Michaux; Michael Primig; Frédéric Chalmel
We present gene prioritization system (GPSy), a cross-species gene prioritization system that facilitates the arduous but critical task of prioritizing genes for follow-up functional analyses. GPSy’s modular design with regard to species, data sets and scoring strategies enables users to formulate queries in a highly flexible manner. Currently, the system encompasses 20 topics related to conserved biological processes including male gamete development discussed in this article. The web server-based tool is freely available at http://gpsy.genouest.org.
Bioinformatics | 2008
Olivier Filangi; Yoann Beausse; Anthony Assi; Ludovic Legrand; Jean-Marc Larré; Véronique Martin; Olivier Collin; Christophe Caron; Hugues Leroy; David Allouche
Large- and medium-scale computational molecular biology projects require accurate bioinformatics software and numerous heterogeneous biological databanks, which are distributed around the world. BioMAJ provides a flexible, robust, fully automated environment for managing such massive amounts of data. The JAVA application enables automation of the data update cycle process and supervision of the locally mirrored data repository. We have developed workflows that handle some of the most commonly used bioinformatics databases. A set of scripts is also available for post-synchronization data treatment consisting of indexation or format conversion (for NCBI blast, SRS, EMBOSS, GCG, etc.). BioMAJ can be easily extended by personal homemade processing scripts. Source history can be kept via html reports containing statements of locally managed databanks. Availability: http://biomaj.genouest.org. BioMAJ is free open software. It is freely available under the CECILL version 2 license. Contact: [email protected]
Nucleic Acids Research | 2015
Thomas A. Darde; Olivier Sallou; Emmanuelle Becker; Bertrand Evrard; Cyril Monjeaud; Yvan Le Bras; Bernard Jégou; Olivier Collin; Antoine Rolland; Frédéric Chalmel
We report the development of the ReproGenomics Viewer (RGV), a multi- and cross-species working environment for the visualization, mining and comparison of published omics data sets for the reproductive science community. The system currently embeds 15 published data sets related to gametogenesis from nine model organisms. Data sets have been curated and conveniently organized into broad categories including biological topics, technologies, species and publications. RGVs modular design for both organisms and genomic tools enables users to upload and compare their data with that from the data sets embedded in the system in a cross-species manner. The RGV is freely available at http://rgv.genouest.org.
PLOS ONE | 2014
Laëtitia Le Texier; Justine Durand; Amélie Lavault; Philippe Hulin; Olivier Collin; Yvan Le Bras; Maria-Cristina Cuturi; Elise Chiffoleau
Dendritic cells are sentinels of the immune system distributed throughout the body, that following danger signals will migrate to secondary lymphoid organs to induce effector T cell responses. We have identified, in a rodent model of graft rejection, a new molecule expressed by dendritic cells that we have named LIMLE (RGD1310371). To characterize this new molecule, we analyzed its regulation of expression and its function. We observed that LIMLE mRNAs were rapidly and strongly up regulated in dendritic cells following inflammatory stimulation. We demonstrated that LIMLE inhibition does not alter dendritic cell maturation or cytokine production following Toll-like-receptor stimulation. However, it reduces their ability to stimulate effector T cells in a mixed leukocyte reaction or T cell receptor transgenic system. Interestingly, we observed that LIMLE protein localized with actin at some areas under the plasma membrane. Moreover, LIMLE is highly expressed in testis, trachea, lung and ciliated cells and it has been shown that cilia formation bears similarities to formation of the immunological synapse which is required for the T cell activation by dendritic cells. Taken together, these data suggest a role for LIMLE in specialized structures of the cytoskeleton that are important for dynamic cellular events such as immune synapse formation. In the future, LIMLE may represent a new target to reduce the capacity of dendritic cells to stimulate T cells and to regulate an immune response.
bioRxiv | 2016
Thomas C. Mathers; Yazhou Chen; Gemy Kaithakottil; Fabrice Legeai; Sam T. Mugford; Patrice Baa-Puyoulet; Anthony Bretaudeau; Bernardo Clavijo; Stefano Colella; Olivier Collin; Tamas Dalmay; Thomas Derrien; Honglin Feng; Toni Gabaldón; Anna Jordan; Irene Julca; Graeme J. Kettles; Krissana Kowitwanich; Dominique Lavenier; Paolo Lenzi; Sara Lopez-Gomollon; Damian Loska; Daniel Mapleson; Florian Maumus; Simon Moxon; Daniel R.G. Price; Akiko Sugio; Manuella van Munster; Marilyne Uzest; Darren Waite
Background The prevailing paradigm of host-parasite evolution is that arms races lead to increasing specialisation via genetic adaptation. Insect herbivores are no exception, and the majority have evolved to colonise a small number of closely related host species. Remarkably, the green peach aphid, Myzus persicae, colonises plant species across 40 families and single M. persicae clonal lineages can colonise distantly related plants. This remarkable ability makes M. persicae a highly destructive pest of many important crop species. Results To investigate the exceptional phenotypic plasticity of M. persicae, we sequenced the M. persicae genome and assessed how one clonal lineage responds to host plant species of different families. We show that genetically identical individuals are able to colonise distantly related host species through the differential regulation of genes belonging to aphid-expanded gene families. Multigene clusters collectively up-regulate in single aphids within two days upon host switch. Furthermore, we demonstrate the functional significance of this rapid transcriptional change using RNA interference (RNAi)-mediated knock-down of genes belonging to the cathepsin B gene family. Knock-down of cathepsin B genes reduced aphid fitness, but only on the host that induced up-regulation of these genes. Conclusions Previous research has focused on the role of genetic adaptation of parasites to their hosts. Here we show that the generalist aphid pest M. persicae is able to colonise diverse host plant species in the absence of genetic specialisation. This is achieved through rapid transcriptional plasticity of genes that have duplicated during aphid evolution.
Bioinformatics | 2018
Thomas A Darde; Pierre Gaudriault; Rémi Béranger; Clement Lancien; Annaelle Caillarec-Joly; Olivier Sallou; Nathalie Bonvallot; Cécile Chevrier; Séverine Mazaud-Guittot; Bernard Jégou; Olivier Collin; Emmanuelle Becker; Antoine Rolland; Frédéric Chalmel
Motivation: At the same time that toxicologists express increasing concern about reproducibility in this field, the development of dedicated databases has already smoothed the path toward improving the storage and exchange of raw toxicogenomic data. Nevertheless, none provides access to analyzed and interpreted data as originally reported in scientific publications. Given the increasing demand for access to this information, we developed TOXsIgN, a repository for TOXicogenomic sIgNatures. Results: The TOXsIgN repository provides a flexible environment that facilitates online submission, storage and retrieval of toxicogenomic signatures by the scientific community. It currently hosts 754 projects that describe more than 450 distinct chemicals and their 8491 associated signatures. It also provides users with a working environment containing a powerful search engine as well as bioinformatics/biostatistics modules that enable signature comparisons or enrichment analyses. Availability and implementation: The TOXsIgN repository is freely accessible at http://toxsign.genouest.org. Website implemented in Python, JavaScript and MongoDB, with all major browsers supported. Supplementary information: Supplementary data are available at Bioinformatics online.
GigaScience | 2015
Anthony Bretaudeau; Cyril Monjeaud; Yvan Le Bras; Fabrice Legeai; Olivier Collin
BackgroundMany bioinformatics tools use reference data, such as genome assemblies or sequence databanks. Galaxy offers multiple ways to give access to this data through its web interface. However, the process of adding new reference data was customarily manual and time consuming, even more so when this data needed to be indexed in a variety of formats (e.g. Blast, Bowtie, BWA, or 2bit).BioMAJ is a widely used and stable software that is designed to automate the download and transformation of data from various sources. This data can be used directly from the command line, in more complex systems, such as Mobyle, or by using a REST API.FindingsTo ease the process of giving access to reference data in Galaxy, we have developed the BioMAJ2Galaxy module, which enables the gap between BioMAJ and Galaxy to be bridged. With this module, it is now possible to configure BioMAJ to automatically download some reference data, to then convert and/or index it in various formats, and then make this data available in a Galaxy server using data libraries or data managers.ConclusionsThe developments presented in this paper allow us to integrate the reference data in Galaxy in an automatic, reliable, and diskspace-saving way. The code is freely available on the GenOuest GitHub account (https://github.com/genouest/biomaj2galaxy).
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Institut de Recherche en Informatique et Systèmes Aléatoires
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