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Computational modelling to predict mechanosensing of fibroblast cells in response to different material properties
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  • Wenjian Yang,
  • Ma Luo,
  • Yanfei Gao,
  • Jinju Chen
Wenjian Yang
Newcastle University
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Ma Luo
Newcastle University
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Yanfei Gao
The University of Tennessee Knoxville
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Jinju Chen
Newcastle University
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Abstract

We present a computational model of the mechanosensing of a fibroblast cell seeded on the materials with different stiffnesses and thicknesses. The model can predict the critical thickness of a given biomaterial that a cell can sense and the dynamic change of stress fibres and focal adhesions through its incorporation of the dynamic characteristics of stress fibre contraction and focal adhesion. We show that the cell-cell communication via elastic substrate induces the orientation of stress fibres. The cell-cell interaction through compliant substrate has a small but significant effect on enhancing the cell depth sensing capability in terms of interfacial displacement and stress fibre concentration. The framework developed here is important for a thorough understanding of processes where substrates are deformed such as in wound healing process and the design of bioactive coatings for tissue engineering.

Peer review status:UNDER REVIEW

25 Nov 2021Submitted to Biotechnology and Bioengineering
25 Nov 2021Assigned to Editor
25 Nov 2021Submission Checks Completed
01 Dec 2021Reviewer(s) Assigned