Evidence map›Paper›PMID 40743309›Full record

ArticlePLoS computational biology2025

Mathematical modelling of mechanotransduction via RhoA signalling pathways.

Sofie Verhees, Chandrasekhar Venkataraman, Mariya Ptashnyk

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sofie VerheesDepartment of Mathematics, Heriot-Watt University, The Maxwell Institute for Mathematical Sciences, Edinburgh, United Kingdom.ORCID 0009-0002-1068-7558
Chandrasekhar VenkataramanDepartment of Mathematics, University of Sussex, Brighton, United Kingdom.
Mariya PtashnykDepartment of Mathematics, Heriot-Watt University, The Maxwell Institute for Mathematical Sciences, Edinburgh, United Kingdom.

Funding

Heriot-Watt University and the University of EdinburghUK Engineering and Physical Sciences Research CouncilUniversity of Sussex
6 · The paper itself

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.

Indexed as

Mechanotransduction, CellularModels, BiologicalrhoA GTP-Binding ProteinSignal TransductionAnimalsCell MembraneComputer SimulationHumansrhoA GTP-Binding Protein

Identifiers

PMID40743309
PMCPMC12327677

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.