Mathematical Modelling of Mechanotransduction via RhoA Signalling Pathways
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866908401371447296 |
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| author | Verhees, Sofie Venkataraman, Chandrasekhar Ptashnyk, Mariya |
| author_facet | Verhees, Sofie Venkataraman, Chandrasekhar Ptashnyk, Mariya |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_04407 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Mathematical Modelling of Mechanotransduction via RhoA Signalling Pathways Verhees, Sofie Venkataraman, Chandrasekhar Ptashnyk, Mariya Numerical Analysis Biological Physics Cell Behavior 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. |
| title | Mathematical Modelling of Mechanotransduction via RhoA Signalling Pathways |
| topic | Numerical Analysis Biological Physics Cell Behavior |
| url | https://arxiv.org/abs/2501.04407 |