Spectral approaches to stress relaxation in epithelial monolayers

We investigate the viscoelastic relaxation to equilibrium of an isolated disordered planar epithelium described using the cell vertex model. In its standard form, the model is formulated as coupled evolution equations for the locations of vertices of confluent polygonal cells. Exploiting the model’s gradient-flow structure, we use singular-value decomposition to project modes of deformation of vertices onto modes of deformation of cells. Expressing the dynamics in terms of operators of a discrete calculus, we show how eigenmodes of discrete Laplacian operators (specified by constitutive assumptions related to dissipation and mechanical energy) provide a spatial basis for evolving fields, and demonstrate how the operators can incorporate approximations of conventional spatial derivatives. We relate the spectrum of relaxation times to the eigenvalues of the Laplacians, modified by corrections that account for the fact that the cell network (and therefore the Laplacians) evolve during relaxation to an equilibrium prestressed state, providing the monolayer with geometric stiffness. While dilational modes of the Laplacians capture rapid relaxation in some circumstances, showing diffusive dynamics, geometric stiffness is typically a dominant source of monolayer rigidity, as we illustrate for monolayers exposed to unsteady stretching deformations.

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Publication Details

Journal
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
Published
2024-09-01
DOI
https://doi.org/10.1098/rspa.2024.0224
Citations
4
Primary Topic
Cellular Mechanics and Interactions
Type
article
Field-Weighted Citation Impact
1.30

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article

Spectral approaches to stress relaxation in epithelial monolayers

Oliver E. Jensen, Emma Johns, Natasha Cowley, Sarah Woolner et al.
4 citations
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
Cellular Mechanics and Interactions
1.30
article

Spectral approaches to stress relaxation in epithelial monolayers

Oliver E. Jensen, Emma Johns, Natasha Cowley, Sarah Woolner, Christopher K. Revell
article en
4 citations

Abstract

We investigate the viscoelastic relaxation to equilibrium of an isolated disordered planar epithelium described using the cell vertex model. In its standard form, the model is formulated as coupled evolution equations for the locations of vertices of confluent polygonal cells. Exploiting the model’s gradient-flow structure, we use singular-value decomposition to project modes of deformation of vertices onto modes of deformation of cells. Expressing the dynamics in terms of operators of a discrete calculus, we show how eigenmodes of discrete Laplacian operators (specified by constitutive assumptions related to dissipation and mechanical energy) provide a spatial basis for evolving fields, and demonstrate how the operators can incorporate approximations of conventional spatial derivatives. We relate the spectrum of relaxation times to the eigenvalues of the Laplacians, modified by corrections that account for the fact that the cell network (and therefore the Laplacians) evolve during relaxation to an equilibrium prestressed state, providing the monolayer with geometric stiffness. While dilational modes of the Laplacians capture rapid relaxation in some circumstances, showing diffusive dynamics, geometric stiffness is typically a dominant source of monolayer rigidity, as we illustrate for monolayers exposed to unsteady stretching deformations.

Proceedings of the Royal Society A Mathematical Physical and Engineering SciencesVol. 480(2297)
Wellcome Centre for Cell-Matrix Research (GB), University of Manchester (GB)
Wellcome Trust, Leverhulme Trust, Biotechnology and Biological Sciences Research Council
Openalex Percentile: Top 22%
Cellular Mechanics and Interactions
1.30
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Spectral approaches to stress relaxation in epithelial monolayers — Oliver E. Jensen, Emma Johns, et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2024) | TGRS Research Map | TGRS