Utilization of the Theory of Small on Large Deformation for Studying Mechanosensitive Cellular Behaviors View Full Text


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Article Info

DATE

2018-09-25

AUTHORS

Seungik Baek, Chun Liu, Kun Gou, Jungsil Kim, Hamidreza Gharahi, Christina Chan

ABSTRACT

Recent studies suggest that cells routinely probe their mechanical environments and that this mechanosensitive behavior regulates some of their cellular activities. The finite elasticity theory of small-on-large deformation (SoL) has been shown to be effective in interpreting the mechanosensitive behavior of cells on a substrate that has been subjected to a prior large static stretch before the culturing of the cells. Small on large deformation is the superposition of a small deformation onto a prior large deformation that serves as the new reference configuration. This article aims to refine SoL theory to develop a theoretical framework for improved physical interpretation of mechanosensing. Given the initial large deformation in SoL, the stress generated by the small deformation is linearized, and the linearized elasticity tensor is taken to be a significant factor facilitating prediction of cellular behavior. The pre-stretch is shown to produce direction-based, effective elastic moduli for cellular mechanosensing. The utility of this SoL theory is illustrated by culturing of two different cell types grown on uniaxially pre-stretched surfaces that induce changes to the cell orientation and behavior. More... »

PAGES

1-21

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10659-018-9698-x

DOI

http://dx.doi.org/10.1007/s10659-018-9698-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107224512


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Download the RDF metadata as:  json-ld nt turtle xml License info

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curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10659-018-9698-x'

N-Triples is a line-based linked data format ideal for batch operations.

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10659-018-9698-x'


 

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