Boolean modeling of mechanosensitive epithelial to mesenchymal transition and its reversal

Autor: Emmalee Sullivan, Marlayna Harris, Arnav Bhatnagar, Eric Guberman, Ian Zonfa, Erzsébet Ravasz Regan
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: iScience, Vol 26, Iss 4, Pp 106321- (2023)
Druh dokumentu: article
ISSN: 2589-0042
DOI: 10.1016/j.isci.2023.106321
Popis: Summary: The significance of biophysical modulators of the epithelial to mesenchymal transition (EMT) is demonstrated by experiments that document full EMT on stiff, nano-patterned substrates in the absence of biochemical induction. Yet, current models focus on biochemical triggers of EMT without addressing its mechanosensitive nature. Here, we built a Boolean model of EMT triggered by mechanosensing – mitogen crosstalk. Our model reproduces epithelial, hybrid E/M and mesenchymal phenotypes, the role of autocrine TGFβ signaling in maintaining mesenchymal cells in the absence of external drivers, inhibition of proliferation by TGFβ, and its apoptotic effects on soft ECM. We offer testable predictions on the density-dependence of partial EMT, its molecular drivers, and the conflict between mitosis and hybrid E/M stability. Our model opens the door to modeling the effects of the biomechanical environment on cancer cell stemness linked to the hybrid E/M state, as well as the mutually inhibitory crosstalk between EMT and senescence.
Databáze: Directory of Open Access Journals