Advanced

Biomechanical modelling of cells in mechanoregulation

Lennon, Alex B; Khayyeri, Hanifeh LU ; Xue, Feng and Prendergast, Patrick J (2011) In Cellular and Biomolecular Mechanics and Mechanobiology p.297-329
Abstract
Many cells are mechanoregulated; their activities are performed at a rate partly determined by the biophysical stimulus acting on them. Computer simulations that would capture this could be used to predict the effect of physical exercise on tissue health. They could also be used to simulate how the tissues surrounding a medical device would respond to the placement of that device. Since cells are the actors within tissues, such simulations require models of how cells themselves are mechanoregulated. In this chapter, we review how mechanoregulation simulations may be built up from models in three ways: cells as simple points, cells as multiple points, cells as structures. In particular, a computer simulation method for tissue... (More)
Many cells are mechanoregulated; their activities are performed at a rate partly determined by the biophysical stimulus acting on them. Computer simulations that would capture this could be used to predict the effect of physical exercise on tissue health. They could also be used to simulate how the tissues surrounding a medical device would respond to the placement of that device. Since cells are the actors within tissues, such simulations require models of how cells themselves are mechanoregulated. In this chapter, we review how mechanoregulation simulations may be built up from models in three ways: cells as simple points, cells as multiple points, cells as structures. In particular, a computer simulation method for tissue differentiation using cells as points is also given, and an approach for extending it to include cells as multiple points is presented. Cells as structures in the form of a hybrid tensegrity-continuum model is presented, and its potential for use in mechanoregulation simulations is discussed. (Less)
Please use this url to cite or link to this publication:
author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Cellular and Biomolecular Mechanics and Mechanobiology
editor
Gefen, Amit
pages
297 - 329
publisher
Springer
ISBN
978-3-642-14217-8
DOI
10.1007/8415_2010_32
language
English
LU publication?
no
id
7e32248c-8ab7-498b-b674-623115745526 (old id 4778815)
date added to LUP
2014-11-14 12:51:34
date last changed
2016-06-29 08:56:23
@misc{7e32248c-8ab7-498b-b674-623115745526,
  abstract     = {Many cells are mechanoregulated; their activities are performed at a rate partly determined by the biophysical stimulus acting on them. Computer simulations that would capture this could be used to predict the effect of physical exercise on tissue health. They could also be used to simulate how the tissues surrounding a medical device would respond to the placement of that device. Since cells are the actors within tissues, such simulations require models of how cells themselves are mechanoregulated. In this chapter, we review how mechanoregulation simulations may be built up from models in three ways: cells as simple points, cells as multiple points, cells as structures. In particular, a computer simulation method for tissue differentiation using cells as points is also given, and an approach for extending it to include cells as multiple points is presented. Cells as structures in the form of a hybrid tensegrity-continuum model is presented, and its potential for use in mechanoregulation simulations is discussed.},
  author       = {Lennon, Alex B and Khayyeri, Hanifeh and Xue, Feng and Prendergast, Patrick J},
  editor       = {Gefen, Amit},
  isbn         = {978-3-642-14217-8},
  language     = {eng},
  pages        = {297--329},
  publisher    = {ARRAY(0x8e79420)},
  series       = {Cellular and Biomolecular Mechanics and Mechanobiology},
  title        = {Biomechanical modelling of cells in mechanoregulation},
  url          = {http://dx.doi.org/10.1007/8415_2010_32},
  year         = {2011},
}