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| Projet financé par l'ANR: https://anr.fr/Projet-ANR-25-CE40-2326 |
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| This project aims to model the dynamics of cell populations that
experience "rescue" events, where cells initially sensitive to
treatment mutate, become resistant, and start to grow despite continued
therapy. This phenomenon is commonly observed in cancer, where
treatment resistance emerges over time due to genetic mutations,
leading to a subpopulation that survives and proliferates. The objective of this project is thus to investigate the composition and behavior of a cell population undergoing such event, by developing and analyzing stochastic models that represent these dynamics, aiming to gain deeper insights into how resistance develops and spreads. More presicely, we will develop models using stochastic processes which will represent the events of division, death, acquisition of a resistant mutation, and of neutral mutations (i.e., those that do not affect individual growth) for each cell. Our interest lies in a multi-scale context, wherein the initial sensitive population is large and the probability of acquiring resistance is low.  Our aim is to study the Site Frequency Spectrum (SFS), a method for analysing the distribution of neutral mutations within a population, which is accessible through DNA sequencing. We are particularly interested in neutral mutations shared by a significant proportion of the population, a relatively understudied area. We aim to establish convergence in law for the SFS, providing reliable predictions even with limited in vivo or experimental data. Ultimately, we will develop statistical methods to analyze such data. By achieving these objectives, we hope to enhance our understanding of resistance mechanisms in cancer populations and provide more efficient tools for predicting and analyzing treatment outcomes. |
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| Une annonce de post-doc de deux ans est actuellement en ligne: https://recrutement.inria.fr/public/classic/fr/offres/2026-09773 |
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Membres impliqués:
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