Hub members Have many expertise, covering most of the fields in bioinformatics and biostatistics. You'll find below a non-exhaustive list of these expertise
Searched keyword : ChIP-seq
Related people (4)
After a Master degree in Genetics at Magistère Européen de Génétique, Paris Diderot, I did a second Master in bioinformatics at University of Nantes where I focused my work on the study of mapping strategy for allele specific analysis at the bioinformatics platform of Institut Curie. I then joined Institut Pasteur to work on an ELIXIR project related to the bio.tools registry through the development of a dedicated tool and the participation of several workshops and hackathons. As an engineer of the bioinformatics and Biostatistics Hub, I am involved in several projects from Differential Analysis of RNA-seq data to Metagenomics. I am also in charge of the maintenance of the Galaxy Pasteur instance.
ChIP-seqEpigenomicsGenomicsSequence analysisProgram developmentDatabases and ontologiesSofware development and engineeringGeneticsData integrationRead mappingWorkflow and pipeline developmentConfocal Microscopy
- Impact of gut microbiota on lipid metabolism(Grégoire CHEVALIER - Microenvironment and Immunity) - Closed
- Analysis of IFITM RNA levels in vraious cell types and tissues(Olivier SCHWARTZ - Virus and Immunity) - Closed
- Channels in metagenomics data(Delarue MARC - Structural Dynamics of Macromolecules) - Closed + 1 project
Bernd Jagla received his PhD in bioinformatics (department of Biology, Chemistry, and Parmacy) from the Free University in Berlin, Germany in 1999. Before joining the Institut Pasteur, he worked for almost ten years in New York City, including as an associate research scientist in the Joint Centers for System Biology (Columbia University) and at the Columbia University Screening Center led by Dr J.E. Rothman. He joined the Institut Pasteur in 2009 to take charge of the bioinformatic needs at the Transcriptome et Epigenome platform, focusing on Next Generation Sequencing. As of 2016 he is member of the C3BI – HUB Team detached to the Human immunology center (CIH) and provides support for cytometry, next generation sequencing, and microarray data analysis. His areas of interest include the quality assurance and data analysis and visualization at the facility. He also has strong expertise in developing algorithms for function prediction from sequence data, image analysis, analysis of mass spectrometry data, workflow management systems. While at Pasteur he developed: KNIME extensions for Next Generation Sequencing (Link) Post Alignment Visualization and Characterization of High-Throughput Sequencing Experiments (Link) Post Alignment statistics of Illumina reads (Link)
AlgorithmicsChIP-seqData managementData VisualizationImage analysisMachine learningSequence analysisDatabaseGenome analysisBiostatisticsProgram developmentScientific computingData and text miningIllumina HiSeqGraphics and Image ProcessingIllumina MiSeqHigh Throughput ScreeningFlow cytometry/cell sortingPac Bio
Rachel Legendre is a bioinformatics engineer. She completed her master degree in apprenticeship for two years at INRA in Jouy-en-Josas in the Genetic Animal department. She was involved in a project aiming at the detection and the expression analysis of micro-RNA involved in an equine disease. In 2012, she joined the Genomic, Structure and Translation Team at Paris-Sud (Paris XI) university. She worked principally on Ribosome Profiling data analysis, a new technique that allows to identify the position of the ribosome on the mRNA at the nucleotide level. Since November 2015, she joined the Bioinformatics and Biostatistics HUB at Pasteur Institute and she’s detached to the Biomics Pole in C2RT, where she is in charge of the bioinformatics analyses for transcriptomics and epigenomics projects. She’s also involved in Long Reads (PacBio and Nanopore) developments with other bioinformaticians of Biomics Pole.
AlgorithmicsChIP-seqEpigenomicsNon coding RNATranscriptomicsGenome analysisProgram developmentScientific computingSofware development and engineeringIllumina HiSeqRead mappingSequencingWorkflow and pipeline developmentChromatin accessibility assaysPac BioRibosome profiling
BacteriaFungiParasiteHumanInsect or arthropodOther animal
- Finding SNPs associated with Dengue infection in the mosquito Aedes aegypti(Merkling SARAH - Insect-Virus Interactions) - Pending
- Identification d’une mémoire épigénomique à Streptococcus pneumoniae(Christine CHEVALIER - Chromatin and Infection) - In Progress
- Genome-wide interactions between HP1g and RNA.(Christophe RACHEZ - Epigenetic Regulation) - Closed
After graduating from Paris VI University with a PhD in Genetics on the “Role of histone protein post-translational modifications in splicing regulation” that I performed in the Epigenetic Regulation unit at the Institut Pasteur, I carried out two post-doctoral experiences. I first worked for three years as a postdoctoral associate of the Whitehead Institute for Biomedical Research/MIT in Cambridge (USA). My main project consisted in the integration of genomic and epigenomic data in order to predict the transcription factors that are potentially at the core of the regulation of the cell-type specific gene expression programs. I then joined the Institut Curie where I deepened my experience in multi-omics data analyses and integration to identify non-coding RNAs involved in cancer progression. I have recently joined the HUB-C3BI of the Institut Pasteur where I am performing high-throughput data integration to better understand biological complexity and contribute to precision medicine development.
ATAC-seqChIP-seqEpigenomicsNon coding RNAPathway AnalysisRNA-seqSingle CellSystems BiologyTool DevelopmentTranscriptomicsData integrationGraph theory and analysisCell biology and developmental biology
Related projects (12)
Analysis of host epitranscriptional modifications upon colonisation with commensals and infection by bacterial pathogens
The colonisation of the murine gut by commensal bacteria has been shown to profoundly influence the host physiology. We would like to investigate if these effects are in part mediated by changes in epitranscriptomics, i.e. mRNA modifications influencing the stability and degradation of mRNA (Dominissini et al. Cell 2012, Meyer et al. Nature 2012). To this end, we aim to investigate the levels of the m6A modification of mRNA and differentially methylated targets in organs derived from mice with a conventional flora, germ-free mice and gnotobiotic mice colonized with a specific commensal, Akkermansia muciniphila, known for benificial effects on host metabolism (Everard et al. PNAS 2012, Shin et al. Gut 2014). Since also pathogenic bacteria have been shown to influence the host cells on many levels, including the dysregulation of transcription in the host, we would like to extend our study of host mRNA methylation patterns to mice that have been intra-gastrically infected with Listeria monocytogenes in the presence or absence of commensal bacteria.
The post-translational modification by SUMO is an essential regulatory mechanism of protein function that is involved in most challenges faced by eukaryotic cells. Gene expression is particularly regulated by sumoylation as many SUMO substrates are transcription factors and chromatin-associated proteins, including histones. The emerging paradigm for the proposed work is that sumoylation controls multiple aspects of chromatin structure and function in response to external cues. According to this view, sumoylation is expected to impact both global and specific transcriptional programs thereby affecting constitutive and inducible expression of both coding and non coding genes. Recently, we found SUMO as an integral and instructive component of chromatin in cell growth and senescence, thus establishing sumoylation as a new and paradigmatic chromatin modification. This work now paves the way for detailed understanding of the contribution of SUMO as a multifaceted modifier of chromatin.
Mise a disposition d'un(e) bioinformaticien(ne) du hub pour les analyses bioinformatiques du transcriptome et de l epigenome
La PF Transcriptome et Epigenome développe des projets de séquençage à haut débit (collaboration et service) avec des équipes du Campus. Ceux-ci couvrent l'ensemble des thématiques du campus ainsi qu'une large gamme d'organismes (des virus aux mammifères). La plate-forme exerce des activités de biologie humide (construction des librairies et séquençage) et de biologie sèche (analyse bioinformatiques et statistiques). La personne mise a disposition interagira étroitement avec les autres bioinformaticiens du pôle BioMics et du Hub. Ses activités concerneront notamment: - La participation à la conception et à la mise en place des projets avec les équipes demandeuses, la prise en charge des analyses et le reporting aux utilisateurs - La mise en place d'un workflow d'analyse bioinformatique des données de transcriptome /épigénome en étroite collaboration avec le C3BI, la DSI et les autres bioinformaticiens du pole. Ce workflow permettra le contrôle qualité des données, leur prétraitement, le mapping des séquences sur les génomes/transcriptomes de réference, et le comptage des reads pour les différents éléments de l'annotation - L'adaptation du workflow d'analyse aux questions biologiques et aux organismes étudiés dans le cadre des activités de la PF - L'activité de veille technologique et bibliographique (test et validation de nouveaux outils d'analyse, updates d'outils existants...) - La mise en place et le développement d'outils d'analyse adaptés aux futurs projets de la PF: single cell RNAseq, métatranscriptome, ChIPseq, analyse des isoformes de splicing.. Ceci se fera notamment via la réalisation d'analyses dédiées avec certains utilisateurs. Les outils mis en place et validés dans ce cadre seront ensuite utilisés pour l'ensemble des projets. - L'activité de communication et de formation (participation aux réunions du consortium France Génomique,formation permanente à l' Institut Pasteur… - la participation a d autres projets du Pole BioMics (selon disponibilité) Bernd Jagla, qui était le bioinformaticien de la plateforme a rejoint le Hub au 1er janvier 2016. Rachel Legendre est mise a disposition depuis le 2 novembre 2015 et remplace Bernd Jagla. Je souhaite que Rachel Legendre soit mise à disposition de la plateforme pour une durée d'au moins 2 ans.
The Transcriptome and EpiGenome platform has a strong expertise in the bioinformatical and statistical analysis of RNA seq data. Nevertheless, we have more and more demands for the use of NGS to characterize the epigenome (using ChIPseq approach) or chromatine accessibility (by ATAC-seq) .We thus need to further develop and validate analysis workflows for these types of data. This project aims at developing and formalizing collaboration between the platform and some experts in this field at the hub. This would include: joint project kic-off meetings, development and validation of ChIPseq and ATACseq analysis pipelines (notably including data preprocessing, reads mapping, peak calling...).
One of the best models for the study of bacteria-host interactions is Listeria monocytogenes. One interesting facet of this bacterium is its ability to modify host chromatin. Recently, we have shown that Listeria causes a drastic deacetylation of histone H3 on lysine 18 (H3K18dc). Interestingly, to impose this modification, Listeria highjacks previously undescribed host machinery: the host protein sirtuin 2 (SIRT2) is relocalized to the nucleus where it causes genes repression during infection. SIRT2 is a NAD-dependent deacetylase that has been implicated in the regulation of complex processes such as aging and cancer. This protein had been mainly studied in the cytoplasm, and although SIRT2 had been show to shuttle between the cytoplasm and the nucleus, the mechanism and its biological role remained unknown. In order to further characterize the role of SIRT2 during infection and identify all the genes at which it is recruited, we are performing ChIP-seq analysis. These studies are expected to bring new insights into the function and regulation of SIRT2 by characterizing this new phosphorylation site.
Identification of Ago2-bound nuclear transcripts and genomic loci in adult zebrafish neural stem cells
Adult neurogenesis is the process by which adult neural stem cells (NSCs) produce new neuronal and glial cells throughout an animal life. Studies in vertebrates have unveiled the crucial importance of this phenomenon for neural tissue homeostasis and proper brain function. Fundamentally, this process is a balance between maintaining a quiescent NSC pool and recruiting them into the neurogenesis cascade. Using the adult zebrafish anterior brain (telencephalon) as a model, we aim at deciphering the molecular mechanisms governing this balance. We identified a microRNA, miR-9, as a prominent quiescence enforcer. Unexpectedly, miR-9 concentrates into the nucleus of quiescent adult NSCs, together with Argonaute proteins (notably Ago2), effector proteins of microRNAs. This nuclear enrichment of Ago/miR-9 is not observed in embryonic or juvenile fish, being thus a signature of deep adult NSC quiescence. It is also observed in mouse NSCs. We wish to use nuclear miR-9/Ago2 as molecular entry points into the molecular mechanisms controlling this adult-specific deep NSC quiescence state. Within this frame, the present project aims to identify Ago2-bound nuclear targets. Through fractionation experiments, we could detect Ago proteins both in the nuclear soluble and in the chromatin-associated fractions of adult zebrafish NSCs. Thus, we built genetic tools to recover the nuclear Ago2-bound transcripts and genomic loci, ie. using CLIP-seq and DamID approaches, respectively. The enriched transcript sequences will be screened for potential miRNA-binding motifs. Putative genomic targets will be screened, in addition, for specific motifs and for their coincidence with defined functional regions (eg. coding or regulatory). The data will be cross-matched with the transcriptome and proteome of miR-9-positive versus –negative adult NSCs. Together, these data should help elaborate hypotheses on the molecular mode(s) of action of nuclear miR-9/AgAgo2 when controlling adult NSC quiescence.
Streptococcus agalactiae (GBS) is a gram positive-bacteria which asymptomatically colonize the genital and intestinal tract of healthy women, although the leading cause of bacterial invasive infection
Cellular senescence is a complex stress response that durable (yet not irreversibly) arrests cell proliferation and is accompanied by widespread changes in chromatin structure, metabolism and gene exp
During infection with bacteria, secretion of toxin induces histone modifications in the host cell. One such modification is dephosphorylation of histone H3 on serine 10. We have characterized this mod
The three HP1 proteins (Heterochromatin Protein 1 alpha, -beta, -gamma) are epigenetic markers of heterochromatin, the condensed, repressed form of chromatin. They are typically known to associate to
Streptococcus agalactiae (GBS) is a commensal gram-positive bacteria which asymptomatically colonize the genital and intestinal tract of healthy women. However, GBS is the leading cause of bacterial i
Les modifications de la chromatine, au niveau de l’ADN ou des histones, jouent un rôle fondamental dans la régulation de l’expression des gènes chez les eucaryotes, en contrôlant l’accès de la machine