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Ph.D de

Ph.D
Group : Bioinformatics

Analyse des voies métabolique au cours du cycle cellulaire : application au métabolisme du cancer

Starts on 01/10/2016
Advisor : PERES, Sabine

Funding : Contrat doctoral uniquement recherche
Affiliation : Université Paris-Saclay
Laboratory : LRI - BioInfo

Defended on 05/11/2020, committee :
- Jean-Paul Comet, Professeur, Université de Nice Sophia Antipolis, Rapporteur et Examinateur
- Jean-Marc Schwartz, Professeur associé, University of Manchester, Rapporteur et Examinateur
- François Fages, Directeur de recherche, INRIA - Saclay, Examinateur
- Matthieu Jules, Professeur, INRAE Jouy-en-Josas (Micalis), Examinateur
- Pascale Le Gall, Professeure, CentraleSupelec, Examinatrice
- Laurent Schwartz, Docteur, Assistance Publique - Hôpitaux de Paris
- Sabine Peres, Maître de conférence, HDR, Université Paris-Saclay, Directrice de thèse
- Laurent Tournier, Chargé de recherche, INRAE Jouy-en-Josas (MaIAGE), Co-encadrant de thèse

Research activities :

Abstract :
The goal of this thesis is to study how the mammal cell adjusts its metabolism to the steps of the cell cycle. The cell cycle is the series of events leading a cell to divide itself. The purpose of the metabolism is to supply the cell with all the elements and the energy it needs to work. In particular, at every step of the cell cycle, the cell needs different elements to properly divide itself. So, it is crucial for the cell to coordinate the metabolism and the cell cycle and in particular to control what the metabolism produces through the cell cycle.

To have a better understanding of the links between these two processes, we studied how a mathematical model representing the metabolism answered to different variations imposed by the cell cycle and we compared those answers to the literature. Satisfied by the results, we therefore built a hybrid model representing the evolution of the metabolism through the cell cycle. We recover in this hybrid model the main known variations of the metabolism through the cycle’s phases as well as experimental variations of the energetic and redox metabolites.

Encouraged by these results, we finally disturbed our hybrid model to recover metabolic tendencies due to cancer, a set of diseases affecting both the metabolism and the cell cycle.