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Mathematical modelling of mechanotransduction via RhoA signalling pathways

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Abstract

We derive and simulate a mathematical model for mechanotransduction related to the Rho GTPase signalling pathway. The model addresses the bidirectional coupling between signalling processes and cell mechanics. A numerical method based on bulk-surface finite elements is proposed for the approximation of the coupled system of nonlinear reaction-diffusion equations, defined inside the cell and on the cell membrane, and the equations of elasticity. Our simulation results illustrate novel emergent features such as the strong dependence of the dynamics on cell shape, a threshold-like response to changes in substrate stiffness, and the fact that coupling mechanics and signalling can lead to the robustness of cell deformation to larger changes in substrate stiffness, ensuring mechanical homeostasis in agreement with experiments.
Original languageEnglish
Article numbere1013305
JournalPLOS Computational Biology
Volume21
Issue number7
DOIs
Publication statusPublished - 31 Jul 2025

Keywords

  • Animals
  • Cell Membrane
  • Computer Simulation
  • Humans
  • Mechanotransduction, Cellular
  • Models, Biological
  • Signal Transduction
  • rhoA GTP-Binding Protein

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Modelling and Simulation
  • Ecology
  • Molecular Biology
  • Genetics
  • Cellular and Molecular Neuroscience
  • Computational Theory and Mathematics

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