DocumentCode :
894265
Title :
Mechanical Instabilities as a Central Issue for InSilico Analysis of Cell Dynamics
Author :
Tracqui, Philippe
Author_Institution :
Lab. TIMC/DynaCell, La Tronche, France
Volume :
94
Issue :
4
fYear :
2006
fDate :
4/1/2006 12:00:00 AM
Firstpage :
710
Lastpage :
724
Abstract :
Even if the leading role of mechanical forces in tissue growth and remodeling is well admitted, it is only recently that the effects of physical forces on gene expression and cell dynamics have been more extensively investigated. In this multiscale context, developing in silico models of cells and tissues is necessary to understand how biochemical and biomechanical cell signaling pathways interplay to specify a wide range of cellular dynamical processes and tissue architectures. In this paper, we review modeling approaches exemplifying how mechanical instabilities may drive emergent biological processes at different scales. At the cell level,we discuss the self-organized character of cell protrusions dynamics and the associated oscillatory cell shape changes modulated by the cell cortex contractility. At the cell population level, we analyze how the in vitro morphogenesis of endothelial cell networks can be enhanced or inhibited by modifications of the mechanical homeostasis of the cell/extracellular matrix medium. We finally outline how our understanding of such mechanical instabilities may support tissue engineering approaches in which transduction of mechanical forces has to be optimized in order to obtain specific cellular responses and tissue functional properties.
Keywords :
biochemistry; biological tissues; biomechanics; biomedical engineering; cellular biophysics; genetics; mechanical stability; autobaric process; biochemical cell signaling pathways; biomechanical cell signaling pathways; cell cortex contractility; cell dynamics; cellular forces; computational biology; gene expression; mechanical homeostasis; periodic cell protrusions; tissue engineering; tissue growth; tissue remodeling; Biological processes; Biological system modeling; Brain modeling; Context modeling; Extracellular; Gene expression; In vitro; Shape; Signal processing; Tissue engineering; Angiogenesis; autobaric process; cellular forces; complex systems; computational biology; morphogenesis; periodic cell protrusions;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/JPROC.2006.871768
Filename :
1618631
Link To Document :
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