English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Contractile network models for adherent cells

Torres, P. G., Bischofs, I. B., & Schwarz, U. S. (2012). Contractile network models for adherent cells. PHYSICAL REVIEW E, 85(1): 011913. doi:10.1103/PhysRevE.85.011913.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Torres, P. Guthardt1, Author
Bischofs, I. B.2, Author                 
Schwarz, U. S.1, Author
Affiliations:
1external, ou_persistent22              
2Center for Molecular Biology (ZMBH) and Center for the Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Germany, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: Cells sense the geometry and stiffness of their adhesive environment by active contractility. For strong adhesion to flat substrates, two-dimensional contractile network models can be used to understand how force is distributed throughout the cell. Here we compare the shape and force distribution for different variants of such network models. In contrast to Hookean networks, cable networks reflect the asymmetric response of biopolymers to tension versus compression. For passive networks, contractility is modeled by a reduced resting length of the mechanical links. In actively contracting networks, a constant force couple is introduced into each link in order to model contraction by molecular motors. If combined with fixed adhesion sites, all network models lead to invaginated cell shapes, but only actively contracting cable networks lead to the circular arc morphology typical for strongly adhering cells. In this case, shape and force distribution are determined by local rather than global determinants and thus are suited to endow the cell with a robust sense of its environment. We also discuss nonlinear and adaptive linker mechanics as well as the relation to tissue shape.

Details

show
hide
Language(s):
 Dates: 2012
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: PHYSICAL REVIEW E
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 85 (1) Sequence Number: 011913 Start / End Page: - Identifier: ISSN: 1539-3755