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Stochastic Switching of Cell Fate in Microbes.
Norman, Thomas M; Lord, Nathan D; Paulsson, Johan; Losick, Richard.
Afiliação
  • Norman TM; Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115; email: thomas.norman@ucsf.edu , ndlord@fas.harvard.edu , johan_paulsson@hms.harvard.edu.
  • Lord ND; Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115; email: thomas.norman@ucsf.edu , ndlord@fas.harvard.edu , johan_paulsson@hms.harvard.edu.
  • Paulsson J; Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115; email: thomas.norman@ucsf.edu , ndlord@fas.harvard.edu , johan_paulsson@hms.harvard.edu.
  • Losick R; Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138; email: losick@mcb.harvard.edu.
Annu Rev Microbiol ; 69: 381-403, 2015.
Article em En | MEDLINE | ID: mdl-26332088
ABSTRACT
Microbes transiently differentiate into distinct, specialized cell types to generate functional diversity and cope with changing environmental conditions. Though alternate programs often entail radically different physiological and morphological states, recent single-cell studies have revealed that these crucial decisions are often left to chance. In these cases, the underlying genetic circuits leverage the intrinsic stochasticity of intracellular chemistry to drive transition between states. Understanding how these circuits transform transient gene expression fluctuations into lasting phenotypic programs will require a combination of quantitative modeling and extensive, time-resolved observation of switching events in single cells. In this article, we survey microbial cell fate decisions demonstrated to involve a random element, describe theoretical frameworks for understanding stochastic switching between states, and highlight recent advances in microfluidics that will enable characterization of key dynamic features of these circuits.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Fenômenos Fisiológicos Bacterianos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Fenômenos Fisiológicos Bacterianos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article