|
|
|
||||
| Home Help Feedback Subscriptions Archive Search Table of Contents | |||||
First published online February 3, 2010
doi: 10.1242/jcs.041186
Commentaries |
1 Biophysical Engineering Lab, University of Pennsylvania, Philadelphia, PA 19104, USA
2 Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
3 Cell and Molecular Biology Graduate and Physics Groups, University of Pennsylvania, Philadelphia, PA 19104, USA
* Author for correspondence (discher{at}seas.upenn.edu)
Cellular organization within a multicellular organism requires that a cell assess its relative location, taking in multiple cues from its microenvironment. Given that the extracellular matrix (ECM) consists of the most abundant proteins in animals and contributes both structure and elasticity to tissues, ECM probably provides key physical cues to cells. In vivo, in the vicinity of many tissue cell types, fibrous characteristics of the ECM are less discernible than the measurably distinct elasticity that characterizes different tissue microenvironments. As a cell engages matrix and actively probes, it senses the local elastic resistance of the ECM and nearby cells via their deformation, and — similar to the proverbial princess who feels a pea placed many mattresses below — the cell seems to possess feedback and recognition mechanisms that establish how far it can feel. Recent experimental findings and computational modeling of cell and matrix mechanics lend insight into the subcellular range of sensitivity. Continuity of deformation from the matrix into the cell and further into the cytoskeleton-caged and -linked nucleus also supports the existence of mechanisms that direct processes such as gene expression in the differentiation of stem cells. Ultimately, cells feel the difference between stiff or soft and thick or thin surroundings, regardless of whether or not they are of royal descent.
Key words: Cell mechanics, Matrix, Nucleus
![]()
CiteULike
Complore
Connotea
Del.icio.us
Digg
Reddit
Technorati
Twitter What's this?