Modeling embryogenesis and cancer: an approach based on an equilibrium between the autostabilization of stochastic gene expression and the interdependence of cells for proliferation

A large amount of data demonstrating the stochastic nature of gene expression and cell differentiation has accumulated during the last 40 years. These data suggest that a gene in a cell always has a certain probability of being activated at any time and that instead of leading to on and off switches...

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Bibliographic Details
Published in:	Progress in biophysics and molecular biology Vol. 89; no. 1; pp. 93 - 120
Main Authors:	Laforge, Bertrand, Guez, David, Martinez, Michael, Kupiec, Jean-Jacques
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 01.09.2005
Subjects:	Animals Apoptosis Cancer Cell death Cell Differentiation Cell Proliferation Cell Survival Computer Simulation Embryonic Development Gene Expression Regulation, Neoplastic Homeostasis Humans Kinetics Models, Biological Models, Statistical Neoplasm Proteins - genetics Neoplasm Proteins - metabolism Neoplasms - pathology Neoplasms - physiopathology Selection, Genetic Selective model Stochastic gene expression Stochastic Processes Tissue organization Cell proliferation Computer simulation Cell death Stochastic gene expression Cell differentiation Tissue organization Cancer Selective model
ISSN:	0079-6107, 1873-1732
Online Access:	Get full text
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