Document Detail

The stochastic nature of biochemical networks.
MedLine Citation:
PMID:  18662776     Owner:  NLM     Status:  MEDLINE    
Cell behaviour and the cellular environment are stochastic. Phenotypes vary across isogenic populations and in individual cells over time. Here we will argue that to understand the abilities of cells we need to understand their stochastic nature. New experimental techniques allow gene expression to be followed in single cells over time and reveal stochastic bursts of both mRNA and protein synthesis in many different types of organisms. Stochasticity has been shown to be exploited by bacteria and viruses to decide between different behaviours. In fluctuating environments, cells that respond stochastically can out-compete those that sense environmental changes, and stochasticity may even have contributed to chromosomal gene order. We will focus on advances in modelling stochasticity, in understanding its effects on evolution and cellular design, and on means by which it may be exploited in biotechnology and medicine.
Vahid Shahrezaei; Peter S Swain
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Review     Date:  2008-08-09
Journal Detail:
Title:  Current opinion in biotechnology     Volume:  19     ISSN:  0958-1669     ISO Abbreviation:  Curr. Opin. Biotechnol.     Publication Date:  2008 Aug 
Date Detail:
Created Date:  2008-08-25     Completed Date:  2008-10-28     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9100492     Medline TA:  Curr Opin Biotechnol     Country:  England    
Other Details:
Languages:  eng     Pagination:  369-74     Citation Subset:  IM    
Centre for Non-linear Dynamics, Department of Physiology, McGill University, 3655 Promenade Sir William Osler, Montreal, Quebec H3G 1Y6, Canada.
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MeSH Terms
Models, Theoretical
Stochastic Processes*
Systems Biology*
Grant Support

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