Modeling the C. elegans germline stem cell genetic network using automated reasoning.

ABSTRACT: Computational methods and tools are a powerful complementary approach to experimental work for studying regulatory interactions in living cells and systems. We demonstrate the use of formal reasoning methods as applied to the Caenorhabditis elegans germ line, which is an accessible system for stem cell research. The dynamics of the underlying genetic networks and their potential regulatory interactions are key for understanding mechanisms that control cellular decision-making between stem cells and differentiation. We model the "stem cell fate" versus entry into the "meiotic development" pathway decision circuit in the young adult germ line based on an extensive study of published experimental data and known/hypothesized genetic interactions. We apply a formal reasoning framework to derive

SUBMITTER: Amar A 

PROVIDER: S-EPMC9142837 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature