Ongoing projects
| MDM2 and serine metabolism: New therapeutic targets for liposarcomas
| 2019-2023
631 k€
WP Leader | MDM2 and serine metabolism: New therapeutic targets for liposarcomas
The project aims at
furthering our understanding of MDM2 metabolic functions in LPS and at
investigating whether these functions can be targeted to design efficient
anti-cancer therapies. Using complementary gene expression and metabolomic
profiling approaches, we will extend
our initial characterization of MDM2-associated metabolic functions, and use
systems biology approaches and computational network modeling to understand the
contribution of these metabolic networks in LPS development. We also wish to
explore further a new concept in LPS pathogenesis, related to a potential
metabolic cooperation between normal tissues/cells and LPS via serine
biodisponibility. Finally, we will take advantage of a unique biobank and
humanized mouse models (Patient-derived xenograft models) that we generated
over the past years, to assess the clinical relevance of potential new
biomarkers and new therapeutic strategies based on the pharmacological
inhibition of MDM2 metabolic functions.
Coordinator: Laetitia Linares, INSERM (Montpellier)
Nb of partners: 3
Call: INCA "Biology and
Basic Sciences for Cancer research"
| Computational modeling
of p53 metabolic functions
| 2016-2020
642 k€
WP leader
| 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"
|
METABOHUB
|
2013-2020
10 million €
WP co-Leader
30 months IE
12 months IR
|
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
|
Past projects
PhenoMeNal
| 2015-2018
10 million €
(300 k€)
Partner | 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)
| NEWPLAST
| 2013-2016
379 k€
Researcher | 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 | MOFO
| 2015-2016
17 k€
Coordinator | 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 | |
|
3.8 million €
(254 k€)
WP leader | 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 |
Merlion Workshop
|
|
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 |
DID'IT Modélisation
|
2014-2015
14 k€
Coordinator |
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
 |
2014-2015
10 k€
Coordinator |
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 |
NeoMeatTox
|
2012-2015
362 k€
Researcher
Master funding |
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
|
2010-2013
390 k€
Researcher |
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
|
| | | |
|
|
