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Modélisation dynamique de la signalisation cellulaire : aspects différentiels et discrets; application à la signalisation du facteur de croissance TGF-beta dans le cancer

Geoffroy Andrieux 1, 2
Abstract : Cell signaling contains the whole biological mecanisms allowing the response of a cell to its microenvironnement in an adapted way. Many extremely intertwinned biological reactions are involved in a network that behaves as a complex system. The understanding of cell response requires the development of data acquisition technics and methods to formalize data into models. This point is the main drive of this thesis. We present here two approaches in order to analyse different granularities of cell signaling. In the first one, we used differential model to study the role of a new component of TGF-β canonical pathway. In the second one, we explored the combinatorial complexity of cell signaling, developing a discrete formalism based on guarded transitions. In this approach, we interpreted the whole database Pathway Interaction Database into a single unified model of signal transduction. Simulation and analysis methods, such as reachability and invariance research, have been developed. The interests are presented through an application on cell cycle regulation by cell signaling, and a global analysis on the regulation of genes compared to experimental data.
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https://tel.archives-ouvertes.fr/tel-00926487
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Submitted on : Thursday, January 9, 2014 - 4:19:24 PM
Last modification on : Friday, July 10, 2020 - 4:26:40 PM
Document(s) archivé(s) le : Thursday, April 10, 2014 - 11:50:10 AM

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  • HAL Id : tel-00926487, version 1

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Geoffroy Andrieux. Modélisation dynamique de la signalisation cellulaire : aspects différentiels et discrets; application à la signalisation du facteur de croissance TGF-beta dans le cancer. Bio-Informatique, Biologie Systémique [q-bio.QM]. Université Rennes 1, 2013. Français. ⟨tel-00926487⟩

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