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Mathematical modeling of ovarian follicle development : A population dynamics viewpoint

Frédérique Clément 1 Danielle Monniaux 2
1 MUSCA - Dynamiques de populations multi-échelles pour des systèmes physiologiques
Inria Saclay - Ile de France, PRC - Physiologie de la reproduction et des comportements [Nouzilly], MaIAGE - Mathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas]
Abstract : Among endocrine organs, ovaries are unique because their function is supported by an ever-changing number of histological entities, the ovarian follicles, which are themselves subject to asynchronous development from their formation up to ovulation. Follicle development combines finely controlled processes of cell dynamics with original morphogenesis steps. Understanding the dynamics of follicle populations, on the whole ovary level, and the coupled dynamics of the oocyte and somatic cells, on the follicle level, is crucial to understand ovarian physiology and ovarian aging. Mathematical modeling studies combined with proper experimental approaches can be particularly helpful for gaining insight into follicle dynamics on different scales.
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https://hal.inria.fr/hal-03146955
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Submitted on : Friday, February 19, 2021 - 2:17:21 PM
Last modification on : Friday, January 21, 2022 - 3:23:38 AM

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Frédérique Clément, Danielle Monniaux. Mathematical modeling of ovarian follicle development : A population dynamics viewpoint. Current Opinion in Endocrine and Metabolic Research, Elsevier, 2021, 18, pp.54-61. ⟨10.1016/j.coemr.2021.02.003⟩. ⟨hal-03146955⟩

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