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Team 1 – Signaling in environmental and drug toxicology

The Team 1 Signaling in environmental and drug toxicology is composed by 2 groups with their own specificities.

Meet Our Specialised Teams

METATOX

Experimental Toxicology

GEMS

Genomic Epidemiology of Multifactorial DiseaseS

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METATOX (Experimental toxicology)

Our team identifies the mechanisms of action activated by a variety of environmental pollutants, alone or in combination, to understand their influence on the incidence of various pathologies (cancer, liver diseases, neurodegenerative diseases) in order to identify biomarkers. We use and develop cellular, animal and computational models over several main lines of research:

1) Contextual studies to study the sensitizing effects of persistent organic pollutants such as Seveso dioxin on the development of liver fibrosis or demyelination in the central nervous system. We use rodent models and more recently the nematode C. elegans.

2) We are also developing innovative cell models to study, for example, the influence of adipocytes on tumor metabolic phenotype or the effect of inflammatory cells on hepatocyte function.

3) We leverage our data produced in vivo and in vitro to develop computational models of system toxicology. We develop network biology and predictive toxicology models by integrating these data (into European or national projects) providing potential links between the exposure to environmental chemicals and adverse health outcomes.

4) We host METATOX-HUB PARIS, a technical platform dedicated to the multi-scale study of the toxicity mechanisms of environmental pollutants and drugs.

Keywords: persistent organic pollutants; AhR; metabolic disruption; cancer; chronic liver diseases; computational models

 

Permanent researchers

  • Karine Andréau, lecturer, MetaTox
    karine.andreau@-Code to remove to avoid SPAM-u-paris.fr, +33 1 76 53 43 62, room P434
  • Etienne Blanc, Associate professor, MCU Paris Descartes, MetaTox
    etienne.blanc@-Code to remove to avoid SPAM-u-paris.fr, +33 1 76 53 43 57, room P434
  • Sylvie Bortoli, University researcher, IR, MetaTox
    sylvie.bortoli@-Code to remove to avoid SPAM-u-paris.fr, +33 1 76 53 43 75, room P461
  • Caroline Chauvet, Associate Professor, MetaTox
    caroline.chauvet@-Code to remove to avoid SPAM-u-paris.fr, +33 1 76 53 43 76, room P433
  • Xavier Coumoul, University Professor, Genetic Epidemiology and functional Genomics of Multifactorial Diseases, MetaTox
    xavier.coumoul@-Code to remove to avoid SPAM-u-paris.fr, +33 1 76 53 43 56, room P433
  • Jules IMLER, Engineer Université Paris Cité, MetaTox
  • Meriem Koual, Associate professor, MCU-PH, MetaTox
  • Marie-Aude Le Frere-Belda, University Professor, MetaTox
    marie-aude.le-frere-belda@-Code to remove to avoid SPAM-aphp.fr
  • Fabrice Lecuru, University Professor, MetaTox
    fabrice.lecuru@-Code to remove to avoid SPAM-egp.aphp.fr
  • Philippe Noirez, Associate professor, MCU Paris Descartes, MetaTox
    philippe.noirez@-Code to remove to avoid SPAM-u-paris.fr
  • Evelyne Segal, INSERM researcher, DR-INSERM, Cellular homeostasis and cancer, MetaTox
    evelyne.segal-bendirdjian@-Code to remove to avoid SPAM-inserm.fr
  • Kajanan SIVAKUMAR, INSERM Engineer, MetaTox
  • Nadia Soussi-Yanicostas, PhD Directrice de Recherche (DR1) au CNRS, MetaTox
  • Nicolas Stadler, INSERM Engineer, Cellular homeostasis and cancer, MetaTox
    nicolas.stadler@-Code to remove to avoid SPAM-inserm.fr
  • Jacqueline Varennes, Technician, , MetaTox
    jacqueline.varennes@-Code to remove to avoid SPAM-inserm.fr

Support staff

  • Estelle Lecat, Assistant Engineer, MetaTox, Systox
  • Sylvia Sanquer, AP-HP, MetaTox
  • Arnaud Tête, Senior Engineer, METATOX-HUB PARIS, MetaTox
    arnaud.tete@-Code to remove to avoid SPAM-u-paris.fr
  • Céline Tomkiewicz-Raulet, INSERM Engineer, MetaTox
    Celine.Tomkiewicz-raulet@-Code to remove to avoid SPAM-u-paris.fr, +33 1 76 53 43 55, room P431

Post docs and PhD students

  • Lucas GAILLARD, PhD student, MetaTox

© all rights reserved

GEMS (Genomic Epidemiology of Multifactorial DiseaseS)

The GEMS group develops statistical methods and strategies in genomic epidemiology to identify genes and gene-exposome interactions involved in multifactorial diseases (asthma, allergic diseases, melanoma). This research program integrates multi-omics data (genomics, epigenomics, transcriptomics, metabolomics) together with biological knowledge, through pathway and network analyses, to provide further insight into the molecular mechanisms involved in the disease process.

Keywwords: Genome-wide association studies, gene-environment interactions, statistical genetics, software development, integration of omics, asthma, allergic diseases, melanoma

Permanent researchers

  • Claudia BEJAR, APHP - PH, Genomic Epidemiology of Multifactorial DiseaseS
  • Emmanuelle Bouzigon, INSERM researcher, CR- INSERM, Genomic Epidemiology of Multifactorial DiseaseS
    emmanuelle.bouzigon@-Code to remove to avoid SPAM-inserm.fr
  • Florence Demenais, INSERM researcher, DR- INSERM, Genomic Epidemiology of Multifactorial DiseaseS
    florence.demenais@-Code to remove to avoid SPAM-inserm.fr
  • Eve Maubec, University Professor, Genetic Epidemiology and functional Genomics of Multifactorial Diseases, Genomic Epidemiology of Multifactorial DiseaseS
    eve.maubec@-Code to remove to avoid SPAM-inserm.fr

Support staff

  • Jessica MARTINEZ, APHP - ISP, Genomic Epidemiology of Multifactorial DiseaseS
  • Lucie TROUBAT, INSERM Engineer, Genomic Epidemiology of Multifactorial DiseaseS

Post docs and PhD students

  • Pradeep ERANTI, Doctoral Student, Genomic Epidemiology of Multifactorial DiseaseS
  • Haibo HUANG, Doctoral Student, Genomic Epidemiology of Multifactorial DiseaseS
  • Sofia TZOUMPA, Master Student, Genomic Epidemiology of Multifactorial DiseaseS
  • Raphaël VERNET, Doctoral Student, Genomic Epidemiology of Multifactorial DiseaseS

Job offers

  • Assistant Ingénieur/Ingénieur d’Etudes, Immunotoxicité In-vitro/In-vivo. Poste d’une durée 2 ans à pourvoir immédiatement (avril-mai 2023) : profil

    Publications of the team