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
Support staff
Post docs and PhD students

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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
Support staff
Post docs and PhD students
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