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Simulation of the contractile response of cells on an array of micro-posts.
McGarry, J P Fu, J Yang, M T Chen, C S McMeeking, R M Evans, A G Deshpande, V S
McGarry, J P
Fu, J
Yang, M T
Chen, C S
McMeeking, R M
Evans, A G
Deshpande, V S
Advisors
Editors
Other Contributors
Date
2009-09-13
Date Submitted
Keywords
Other Subjects
Subject Mesh
Actins
Animals
Biomechanics
Fibroblasts
Finite Element Analysis
Focal Adhesions
Humans
Mechanotransduction, Cellular
Mesenchymal Stem Cells
Models, Biological
Myocytes, Smooth Muscle
Surface Properties
Animals
Biomechanics
Fibroblasts
Finite Element Analysis
Focal Adhesions
Humans
Mechanotransduction, Cellular
Mesenchymal Stem Cells
Models, Biological
Myocytes, Smooth Muscle
Surface Properties
Planned Date
Start Date
Collaborators
Principal Investigators
Files
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19657008.pdf
Adobe PDF, 1.02 MB
Alternative Titles
Publisher
Abstract
A bio-chemo-mechanical model has been used to predict the contractile responses of smooth cells on a bed of micro-posts. Predictions obtained for smooth muscle cells reveal that, by converging onto a single set of parameters, the model captures all of the following responses in a self-consistent manner: (i) the scaling of the force exerted by the cells with the number of posts; (ii) actin distributions within the cells, including the rings of actin around the micro-posts; (iii) the curvature of the cell boundaries between the posts; and (iv) the higher post forces towards the cell periphery. Similar correspondences between predictions and measurements have been demonstrated for fibroblasts and mesenchymal stem cells once the maximum stress exerted by the stress fibre bundles has been recalibrated. Consistent with measurements, the model predicts that the forces exerted by the cells will increase with both increasing post stiffness and cell area (or equivalently, post spacing). In conjunction with previous assessments, these findings suggest that this framework represents an important step towards a complete model for the coupled bio-chemo-mechanical responses of cells.
Language
en
ISSN
1364-503X
eISSN
ISBN
DOI
10.1098/rsta.2009.0097
PMID
19657008