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PMID: 11082279 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S. Review

Shape-dependent control of cell growth, differentiation, and apoptosis: switching between attractors in cell regulatory networks.

Experimental cell research ·Vol. 261 ·No. 1 ·2000-11-25 ·Pages 91-103

Huang S, Ingber DE

Abstract

Development of characteristic tissue patterns requires that individual cells be switched locally between different phenotypes or "fates;" while one cell may proliferate, its neighbors may differentiate or die. Recent studies have revealed that local switching between these different gene programs is controlled through interplay between soluble growth factors, insoluble extracellular matrix molecules, and mechanical forces which produce cell shape distortion. Although the precise molecular basis remains unknown, shape-dependent control of cell growth and function appears to be mediated by tension-dependent changes in the actin cytoskeleton. However, the question remains: how can a generalized physical stimulus, such as cell distortion, activate the same set of genes and signaling proteins that are triggered by molecules which bind to specific cell surface receptors. In this article, we use computer simulations based on dynamic Boolean networks to show that the different cell fates that a particular cell can exhibit may represent a preprogrammed set of common end programs or "attractors" which self-organize within the cell's regulatory networks. In this type of dynamic network model of information processing, generalized stimuli (e.g., mechanical forces) and specific molecular cues elicit signals which follow different trajectories, but eventually converge onto one of a small set of common end programs (growth, quiescence, differentiation, apoptosis, etc.). In other words, if cells use this type of information processing system, then control of cell function would involve selection of preexisting (latent) behavioral modes of the cell, rather than instruction by specific binding molecules. Importantly, the results of the computer simulation closely mimic experimental data obtained with living endothelial cells. The major implication of this finding is that current methods used for analysis of cell function that rely on characterization of linear signaling pathways or clusters of genes with common activity profiles may overlook the most critical features of cellular information processing which normally determine how signal specificity is established and maintained in living cells.

Keywords
NASA Discipline Cell Biology Non-NASA Center
MeSH Terms
Animals Apoptosis/physiology Cell Differentiation/physiology Cell Division/physiology Cell Physiological Phenomena Cell Size/physiology Homeostasis Humans Models, Biological
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Huang S
Department of Surgery, Children's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.
Ingber D E
Investigators
1 investigators, click to expand
Ingber D E
Children's Hosp, Boston, MA
Article Info
Journal
Experimental cell research
Abbr.
Exp Cell Res
ISSN
0014-4827
Published
2000-11-25
Pages
91-103
Language
English
Region
United States
NLM ID
0373226
Subset
IM
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