Research experience
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Jan 2011
Research: Subject 1: Epigenetic Effects of Maternal Depression / Subject 2: Pre-, peri- and postnatal Stress in human and non-human off-spring: a translational approach to study Epigenetic Impact on Depression
McGill University, Faculty of Medicine · Department of Pharmacology and Therapeutics · McGill University, Faculty of MedicineMontrealEpigenetic / DNA methylation / Stress / Depression / Immune system / Brain / Genome-wide analysis -
Jan 2010–
Dec 2010Research: Identification of genes regulated in GR-impaired mice
INSERM · Pathophysiology of mood disorders and addiction · INSERMPsychiatry and Neurosciences Center / Pitié-Salpétrière Faculty of Medicine · ParisDepression / Stress / Epigenetic / Circadian rhythm -
Sep 2005–
Sep 2010Research: Characterization of the orphan GPCR, GPR88
INSERM / Pierre Fabre Research center · Psychiatry and Neurosciences Center · INSERM / Pierre Fabre Research centerParisBrain / Dopaminergic system / Epigenetic
Education
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Sep 2005–
Sep 2010Pierre et Marie Curie University
PhD in NeuroscienceFrance · Paris -
Sep 2004–
Sep 2005Ecole Normale Supérieure / Paris Diderot University
Master in NeuropsychopharmacologyFrance · Paris
Questions and Answers (3) View all
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Answer added in Epigenetics6 Software for next generation sequencing data, microarray data.By Renaud Massart · McGill UniversityRenaud Massart · McGill UniversityThank you for your replies. In our lab., we're starting having a really large amount of data from MeDIP-arrays, mRNA microarrays, RNAseq and DNAseq ex... [more]Thank you for your replies. In our lab., we're starting having a really large amount of data from MeDIP-arrays, mRNA microarrays, RNAseq and DNAseq experiments (bisulfite -or not- converted DNA). Most of the people of the lab are not bioinformaticians and as the bioinformatician is overloaded, we're facing problems when it comes to analyze the data (basic statistical analyzes for ex.) but also when it comes to manage the big files generated by the analyzes. Thus, we're learning how to use R environment... However, I would like to know if good friendly softwares (or suites) could be recommended to analyze or integrate data from various "whole-genome" experiments.Following
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Question asked in Epigenetics6 Software for next generation sequencing data, microarray data.Could anyone recommend "friendly" softwares or software suites (genomatix... ?) to analyze and integrate whole genome sequencing and/or microarrays da... [more]Could anyone recommend "friendly" softwares or software suites (genomatix... ?) to analyze and integrate whole genome sequencing and/or microarrays data?By Renaud Massart · McGill UniversityFollowing
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Answer added in DNA Sequencing16 Epigenetics and DNA sequencing?By Ralph Scheicher · Uppsala UniversityRenaud Massart · McGill UniversityBe careful with pyrosequencing (or bisulfite sequencing) methylated and non-methylated DNA sequences are amplified differently (after or not bisulfite... [more]Be careful with pyrosequencing (or bisulfite sequencing) methylated and non-methylated DNA sequences are amplified differently (after or not bisulfite conversion). This could induces biases during PCR amplifications and the biases are sequences specific. Therefore, controls are necessary to be sure of the levels of methylation that are measured. For instance, you need to generate a mixture of the DNA sequence that you want to analyze with a methylation level of 50% and be sure that you are able to measure a methylation level of 50%... This is not straight forward... Furthermore, pyrosequencing is not really convenient to detect non CG methylation. This kind of biases are not really known when using next generation sequencing technics...Following