Stochastic model coupling chemical kinetics and cell population dynamics

Date/heure
21 novembre 2024
10:45

Lieu
Salle Döblin

Oratrice ou orateur
Guillaume Ballif

Catégorie d'évènement
Séminaire Probabilités et Statistique


Résumé

Chemical reactions network inside cells have been extensively studied in order to better understand various biological phenomena. The majority of experimental studies are performed with cells that are part of a growing population. This population context is rarely taken into account even if selection between cells (due for example to growth) takes places within the studied system.
In this talk, I will represent such systems as continuous-time Markov chains. The measure-valued Markov process of the cell population will take into account the chemical reactions inside the cells as well as reactions between cells. By conditioning on non-absorption, we derive an equation for the expected population distribution within a growing population.
This extension of the Chemical Master Equation provides us a new framework to study cell population dynamics. I will present theoretical results on long-term behaviour of the population (stationary distribution, growth rate of the population) and an application of this framework to experimental data.