Single and two‐cells shape analysis from energy functionals for three‐dimensional vertex models

Author:

Khan Ahmad K.1,Muñoz‐Castro Guillem1,Muñoz Jose J.1234ORCID

Affiliation:

1. Department of Mathematics Universitat Politècnica de Catalunya Barcelona Spain

2. Laboratori de Càlcul Numèric (LaCàN) Universitat Politècnica de Catalunya Barcelona Spain

3. Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE) Barcelona Spain

4. Institut de Matemàtiques de la UPC‐BarcelonaTech (IMTech) Barcelona Spain

Abstract

AbstractVertex models have been extensively used for simulating the evolution of multicellular systems, and have given rise to important global properties concerning their macroscopic rheology or jamming transitions. These models are based on the definition of an energy functional, which fully determines the cellular response and conclusions. While two‐dimensional vertex models have been widely employed, three‐dimensional models are far more scarce, mainly due to the large amount of configurations that they may adopt and the complex geometrical transitions they undergo. We here investigate the shape of single and two‐cells configurations as a function of the energy terms, and we study the dependence of the final shape on the model parameters: namely the exponent of the term penalising cell‐cell adhesion and surface contractility. In single cell analysis, we deduce analytically the radius and limit values of the contractility for linear and quadratic surface energy terms, in 2D and 3D. In two‐cells systems, symmetrical and asymmetrical, we deduce the evolution of the aspect ratio and the relative radius. While in functionals with linear surface terms yield the same aspect ratio in 2D and 3D, the configurations when using quadratic surface terms are distinct. We relate our results with well‐known solutions from capillarity theory, and verify our analytical findings with a three‐dimensional vertex model.

Funder

Generalitat de Catalunya

Ministerio de Ciencia e Innovación

Publisher

Wiley

Subject

Applied Mathematics,Computational Theory and Mathematics,Molecular Biology,Modeling and Simulation,Biomedical Engineering,Software

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