A data-assimilation approach to predict population dynamics during epithelial-mesenchymal transition.

ABSTRACT: Epithelial-mesenchymal transition (EMT) is a biological process that plays a central role in embryonic development, tissue regeneration, and cancer metastasis. Transforming growth factor-β (TGFβ) is a potent inducer of this cellular transition, comprising transitions from an epithelial state to partial or hybrid EMT state(s), to a mesenchymal state. Recent experimental studies have shown that, within a population of epithelial cells, heterogeneous phenotypical profiles arise in response to different time- and TGFβ dose-dependent stimuli. This offers a challenge for computational models, as most model parameters are generally obtained to represent typical cell responses, not necessarily specific responses nor to capture population variability. In this study, we applied a data-assimilation a

SUBMITTER: Mendez MJ 

PROVIDER: S-EPMC9463646 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature