Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/39800
Title: Mathematical model of mechano-sensing and mechanically induced collective motility of cells on planar elastic substrates
Authors: Ahmed, Riham K.
Abdalrahman, Tamer
Davies, Neil H.
VERMOLEN, Fred 
Franz, Thomas
Issue Date: 2023
Publisher: SPRINGER HEIDELBERG
Source: Biomechanics and Modeling in Mechanobiology, 22, p. 809-824
Abstract: Cells mechanically interact with their environment to sense, for example, topography, elasticity and mechanical cues from other cells. Mechano-sensing has profound effects on cellular behaviour, including motility. The current study aims to develop a mathematical model of cellular mechano-sensing on planar elastic substrates and demonstrate the model's predictive capabilities for the motility of individual cells in a colony. In the model, a cell is assumed to transmit an adhesion force, derived from a dynamic focal adhesion integrin density, that locally deforms a substrate, and to sense substrate deformation originating from neighbouring cells. The substrate deformation from multiple cells is expressed as total strain energy density with a spatially varying gradient. The magnitude and direction of the gradient at the cell location define the cell motion. Cell-substrate friction, partial motion randomness, and cell death and division are included. The substrate deformation by a single cell and the motility of two cells are presented for several substrate elasticities and thicknesses. The collective motility of 25 cells on a uniform substrate mimicking the closure of a circular wound of 200 mu m is predicted for deterministic and random motion. Cell motility on substrates with varying elasticity and thickness is explored for four cells and 15 cells, the latter again mimicking wound closure. Wound closure by 45 cells is used to demonstrate the simulation of cell death and division during migration. The mathematical model can adequately simulate the mechanically induced collective cell motility on planar elastic substrates. The model is suitable for extension to other cell and substrates shapes and the inclusion of chemotactic cues, offering the potential to complement in vitro and in vivo studies.
Notes: Ahmed, RK (corresponding author), Univ Cape Town, Biomed Engn Res Ctr, Dept Human Biol, Div Biomed Engn,Observ, Cape Town, South Africa.
r.ahmed@aims.edu.gh
Keywords: Cell migration;Cellular traction force;Substrate deformation;Strain energy density
Document URI: http://hdl.handle.net/1942/39800
ISSN: 1617-7959
e-ISSN: 1617-7940
DOI: 10.1007/s10237-022-01682-2
ISI #: 000934696500001
Datasets of the publication: 10.25375/uct.17620877
Rights: The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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