Mathematical model of mechano-sensing and mechanically induced collective motility of cells on planar elastic substrates
Mathematical model of mechano-sensing and mechanically induced collective motility of cells on planar elastic substrates
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 µm 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.
cell migration, cellular traction force, strain energy density, substrate deformation, Strain energy density, Substrate deformation, Cellular traction force, Cell migration
809-824
Ahmed, Riham K.
417e4e58-9583-48d2-9997-958874c5d1ba
Abdalrahman, Tamer
65d60fa0-5278-4158-9e58-a75854a2c4c1
Davies, Neil H.
e52928b5-b051-443d-87c5-6463fe942865
Vermolen, Fred
91288ff6-2089-4365-8902-8e3a570cffc7
Franz, Thomas
31f508f4-6851-4274-b256-cc01ab321d50
June 2023
Ahmed, Riham K.
417e4e58-9583-48d2-9997-958874c5d1ba
Abdalrahman, Tamer
65d60fa0-5278-4158-9e58-a75854a2c4c1
Davies, Neil H.
e52928b5-b051-443d-87c5-6463fe942865
Vermolen, Fred
91288ff6-2089-4365-8902-8e3a570cffc7
Franz, Thomas
31f508f4-6851-4274-b256-cc01ab321d50
Ahmed, Riham K., Abdalrahman, Tamer, Davies, Neil H., Vermolen, Fred and Franz, Thomas
(2023)
Mathematical model of mechano-sensing and mechanically induced collective motility of cells on planar elastic substrates.
Biomechanics and Modeling in Mechanobiology, 22 (3), .
(doi:10.1007/s10237-022-01682-2).
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 µm 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.
Text
2 - P086 2D Mechanical model BMMB rev04 clean
- Accepted Manuscript
More information
Accepted/In Press date: 28 December 2022
e-pub ahead of print date: 23 February 2023
Published date: June 2023
Additional Information:
Funding Information:
The research reported in this publication is supported financially by the Organization for Women in Science for the Developing World (doctoral scholarship to RA), the European Mathematical Society (collaborative research visit award to RA), the South African Medical Research Council (grant SIR 328148 to TF), and the National Research Foundation of South Africa (grants UID92531 and CPRR14071676206 to TF). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Any opinion, findings, conclusions and recommendations expressed in this publication are those of the authors, and therefore, the funders do not accept any liability.
Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Keywords:
cell migration, cellular traction force, strain energy density, substrate deformation, Strain energy density, Substrate deformation, Cellular traction force, Cell migration
Identifiers
Local EPrints ID: 476626
URI: http://eprints.soton.ac.uk/id/eprint/476626
ISSN: 1617-7959
PURE UUID: 4154be58-28b4-41e2-9965-99f1e8b5c687
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Date deposited: 10 May 2023 16:41
Last modified: 17 Mar 2024 07:44
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Contributors
Author:
Riham K. Ahmed
Author:
Tamer Abdalrahman
Author:
Neil H. Davies
Author:
Fred Vermolen
Author:
Thomas Franz
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