Boolean modeling of mechanosensitive Epithelial to Mesenchymal Transition and its reversal

Emmalee Sullivan, Marlayna Harris, Arnav Bhatnagar,Eric Guberman, Ian Zonfa,Erzsébet Ravasz Regan

iScience(2022)

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摘要
The significance of biophysical modulators of the Epithelial to Mesenchymal Transition is demonstrated by experiments that show EMT on nano-patterned ECM without biochemical signals, or stiffness-induced / shape-dependent induction of EMT transcription factors. Yet, current models focus on biochemical triggers without addressing the mechanosensitive drivers of EMT. Here we built a Boolean model of EMT triggered by crosstalk between mechanosensing and mitogens. Our model reproduces epithelial, hybrid E/M and mesenchymal phenotypes, the role of autocrine TGFβ signaling in maintaining mesenchymal cells in the absence of biomechanical drivers, inhibition of proliferation by TGFβ , and its apoptotic effects on soft ECM. We offer testable predictions on the density-dependence and molecular drivers of partial EMT and the tug of war between mitosis and the stability hybrid E/M state. Our model serves as a stepping-stone towards 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. ### Competing Interest Statement The authors have declared no competing interest.
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关键词
mechanosensitive epithelial,mesenchymal transition,boolean modeling
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