The biophysical nature of cells: Potential cell behaviours revealed by analytical and computational studies of cell surface mechanics

Magno, R., Grieneisen, V.A. ORCID: https://orcid.org/0000-0001-6780-8301 and Maree, A.F.M. ORCID: https://orcid.org/0000-0003-2689-2484 2015. The biophysical nature of cells: Potential cell behaviours revealed by analytical and computational studies of cell surface mechanics. BMC Biophysics 8 (1) , -. 10.1186/s13628-015-0022-x

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Abstract

Background The biophysical characteristics of cells determine their shape in isolation and when packed within tissues. Cells can form regular or irregular epithelial structures, round up and form clusters, or deform and attach to substrates. The acquired shape of cells and tissues is a consequence of (i) internal cytoskeletal processes, such as actin polymerisation and cortical myosin contraction, (ii) adhesion molecules within the cell membrane that interact with substrates and neighbouring cells, and (iii) processes that regulate cell volume. Although these processes seem relatively simple, when combined they unleash a rich variety of cellular behaviour that is not readily understandable outside a theoretical framework. Methods We perform a mathematical analysis of a commonly used class of model formalisms that describe cell surface mechanics using an energy-based approach. Predictions are then confirmed through comparison with the computational outcomes of a Vertex model and 2D and 3D simulations of the Cellular Potts model. Results The analytical study reveals the complete possible spectrum of single cell behaviour and tissue packing in both 2D and 3D, by taking the typical core elements of cell surface mechanics into account: adhesion, cortical tension and volume conservation. We show that from an energy-based description, forces and tensions can be derived, as well as the prediction of cell behaviour and tissue packing, providing an intuitive and biologically relevant mapping between modelling parameters and experiments. Conclusions The quantitative cellular behaviours and biological insights agree between the analytical study and the diverse computational model formalisms, including the Cellular Potts model. This illustrates the generality of energy-based approaches for cell surface mechanics and highlights how meaningful and quantitative comparisons between models can be established. Moreover, the mathematical analysis reveals direct links between known biophysical properties and specific parameter settings within the Cellular Potts model.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Biosciences
Publisher:	BioMed Central
ISSN:	2046-1682
Date of First Compliant Deposit:	11 March 2019
Date of Acceptance:	24 April 2015
Last Modified:	06 May 2023 04:39
URI:	https://orca.cardiff.ac.uk/id/eprint/119499

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