Projects

Computational modeling of p53 metabolic functions. We propose to develop an ambitious project aiming at developing the first computational model of the metabolic functions of the p53 tumor suppressor pathway and to use this model to further understand how deregulation of these metabolic networks contributes to cancer development.

Coordinator: Laurent Le Cam, INSERM (Montpellier)

Nb of partners: 3

Call: INCA "Biology and Basic Sciences for Cancer research"

A comprehensive and standardised e-infrastructure for analysing medical metabolic phenotype data. The PhenoMeNal2 project will develop and deploy an integrated, secure, permanent, on-demand service-driven, privacy-compliant and sustainable e-infrastructure for the processing, analysis and

information-mining of the massive amount of medical molecular phenotyping and genotyping data that will be generated by metabolomics applications now entering research and clinic.

Coordinator: Christophe Steinbeck, EBI (UK)

Nb of partners: 15

Call: H2020-EINFRA-1-2014 (Managing, preserving and computing with big research data)

MetaboHub is a project funded by the "Infrastructure d'avenir" which will propose a national platform in metabolomics and fluxomics.

Within this framework, the aim is to develop MetExplore toward an open web service integrating both metabolomics and fluxomics data. A particular car will be taken to collaborative annotation approaches.

Coordinator: Dominique Rolin (Université de Bordeaux)

Project code: ANR-11-INBS-0010

Nb of partners: 4

Newplast: Contribution to the Human exposure assessment related to substitutes and derivates of Bisphenol A and the associated hazard characterisation.

Coordinator: Jean-Philippe Antignac

Nb of partners: 5

MetabOlism FramewOrk. The aim is to build a generic web server based on javascript component. This will be applied to create web resources for projects developed in the INRA Human Nutrition Division.

Coordinators: Fabien Jourdan & Franck Giacomoni

Nb of partners: 3

Call: INRA DTN

ParaMet is a Marie Curie Initial Training Network (ITN) funding 12 PhD Scholarships. The research of ParaMet will concentrate on genomic, metabolic and regulatory mechanisms of protozoan parasites, in multidisciplinary projects, identifying areas of parasite metabolism and key factors of host-parasite interactions that may be exploitable for new chemotherapies. Systems approaches involving mathematical modelling of metabolic and transcriptional processes will be central.

Coordinator: Sylke Muller (University of Glasgow)

Project identifier: FP7-PEOPLE-2011-ITN

Project number: 290080

Nb of partners: 12

Developing Metabolomics Platform Technologies through Singapore-French Research Alliance: The workshop aims to encourage technical exchanges and catalyze the development of research collaboration in the field of metabolomics between Singapore and France. In addition, this workshop provides opportunities for the knowledge and technologies developed in Europe to be applied in the Asian context.

Coordinators: Domnique Rolin and Fabien Jourdan (France)

Ong, Choon Nam (National University of Singapore (Singapore)

Nb of partners: 2

Modélisation globale du métabolisme humain : des données métabolomiques à l'interprétation biologique: In the framework of DID'IT INRA Metaprogramme, we will organize a workshop on metabolomics data treatment from raw data to biological interpretation.

Coordinators: Estelle Pujos Guillot and Fabien Jourdan

Nb of partners: 2

M-DIET: In the framework of DID'IT INRA Metaprogramme, the aim is to understand the network impact of diet changes based on metabolomics data.

Coordinator: Fabien Jourdan

Nb of partners: 1

NeoMeaTox aim is to determine in twoanimal models of colorectal cancer the individual and synergistic roles of model molecules of those family of compounds (HCA PhiP, the PAH benzo[a]pyrene and the secondary lipid oxidation product 4-hydroxynonenal), given in concentration related to realistic human dietary consumption. Those in vivo studies will be completed by in vitro studies on original cellular models of non cancerous colonocytes, bearing or not a mutation on the Apc gene, an early and frequent event in human colorectal cancer development.

Coordinator: Françoise Guéraud (INRA, TOXALIM)

Nb of partners: 3

CONTREPERF stands for: Emerging perfluorinated contaminants: contribution to the human exposure assessment, to the study of their metabolism and to the characterisation of their toxicological impact.

Coordinator: Jean-Philippe Antignac

Nb of partners: 5