ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2024
Choice of friction coefficient deeply affects tissue behaviour in stochastic epithelial vertex models.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Vertex models capturing subcellular scales in epithelial tissues.PLoS computational biology · 2025Review
- Choice of friction coefficient deeply affects tissue behaviour in stochastic epithelial vertex models.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Stochastic processes in development and disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
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2 authors.
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Abstract
To understand the mechanisms that coordinate the formation of biological tissues, the use of numerical implementations is necessary. The complexity of such models involves many assumptions and parameter choices that result in unpredictable consequences, obstructing the comparison with experimental data. Here, we focus on vertex models, a family of spatial models used extensively to simulate the dynamics of epithelial tissues. Usually, in the literature, the choice of the friction coefficient is not addressed using quasi-static deformation arguments that generally do not apply to realistic scenarios. In this manuscript, we discuss the role that the choice of friction coefficient has on the relaxation times and consequently in the conditions of cell cycle progression and division. We explore the effects that these changes have on the morphology, growth rate and topological transitions of the tissue dynamics. These results provide a deeper understanding of the role that an accurate mechanical description plays in the use of vertex models as inference tools. This article is part of a discussion meeting issue 'Causes and consequences of stochastic processes in development and disease'.
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