Mathematical modelling of mechanotransduction via RhoA signalling pathways.

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...

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Main Authors: Sofie Verhees, Chandrasekhar Venkataraman, Mariya Ptashnyk
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-07-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1013305
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author Sofie Verhees
Chandrasekhar Venkataraman
Mariya Ptashnyk
author_facet Sofie Verhees
Chandrasekhar Venkataraman
Mariya Ptashnyk
author_sort Sofie Verhees
collection DOAJ
description 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 Article
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institution Kabale University
issn 1553-734X
1553-7358
language English
publishDate 2025-07-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS Computational Biology
spelling doaj-art-ffffedabd1a2409f8a4f84f6143554432025-08-20T03:59:35ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582025-07-01217e101330510.1371/journal.pcbi.1013305Mathematical modelling of mechanotransduction via RhoA signalling pathways.Sofie VerheesChandrasekhar VenkataramanMariya PtashnykWe 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.https://doi.org/10.1371/journal.pcbi.1013305
spellingShingle Sofie Verhees
Chandrasekhar Venkataraman
Mariya Ptashnyk
Mathematical modelling of mechanotransduction via RhoA signalling pathways.
PLoS Computational Biology
title Mathematical modelling of mechanotransduction via RhoA signalling pathways.
title_full Mathematical modelling of mechanotransduction via RhoA signalling pathways.
title_fullStr Mathematical modelling of mechanotransduction via RhoA signalling pathways.
title_full_unstemmed Mathematical modelling of mechanotransduction via RhoA signalling pathways.
title_short Mathematical modelling of mechanotransduction via RhoA signalling pathways.
title_sort mathematical modelling of mechanotransduction via rhoa signalling pathways
url https://doi.org/10.1371/journal.pcbi.1013305
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AT chandrasekharvenkataraman mathematicalmodellingofmechanotransductionviarhoasignallingpathways
AT mariyaptashnyk mathematicalmodellingofmechanotransductionviarhoasignallingpathways