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Asymmetric Stochastic Switching Driven by Intrinsic Molecular Noise

Low-copy-number molecules are involved in many functions in cells. The intrinsic fluctuations of these numbers can enable stochastic switching between multiple steady states, inducing phenotypic variability. Herein we present a theoretical and computational study based on Master Equations and Fokker...

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Detalles Bibliográficos
Autores principales: Frigola, David, Casanellas, Laura, Sancho, José M., Ibañes, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3283640/
https://www.ncbi.nlm.nih.gov/pubmed/22363638
http://dx.doi.org/10.1371/journal.pone.0031407
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author Frigola, David
Casanellas, Laura
Sancho, José M.
Ibañes, Marta
author_facet Frigola, David
Casanellas, Laura
Sancho, José M.
Ibañes, Marta
author_sort Frigola, David
collection PubMed
description Low-copy-number molecules are involved in many functions in cells. The intrinsic fluctuations of these numbers can enable stochastic switching between multiple steady states, inducing phenotypic variability. Herein we present a theoretical and computational study based on Master Equations and Fokker-Planck and Langevin descriptions of stochastic switching for a genetic circuit of autoactivation. We show that in this circuit the intrinsic fluctuations arising from low-copy numbers, which are inherently state-dependent, drive asymmetric switching. These theoretical results are consistent with experimental data that have been reported for the bistable system of the gallactose signaling network in yeast. Our study unravels that intrinsic fluctuations, while not required to describe bistability, are fundamental to understand stochastic switching and the dynamical relative stability of multiple states.
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spelling pubmed-32836402012-02-23 Asymmetric Stochastic Switching Driven by Intrinsic Molecular Noise Frigola, David Casanellas, Laura Sancho, José M. Ibañes, Marta PLoS One Research Article Low-copy-number molecules are involved in many functions in cells. The intrinsic fluctuations of these numbers can enable stochastic switching between multiple steady states, inducing phenotypic variability. Herein we present a theoretical and computational study based on Master Equations and Fokker-Planck and Langevin descriptions of stochastic switching for a genetic circuit of autoactivation. We show that in this circuit the intrinsic fluctuations arising from low-copy numbers, which are inherently state-dependent, drive asymmetric switching. These theoretical results are consistent with experimental data that have been reported for the bistable system of the gallactose signaling network in yeast. Our study unravels that intrinsic fluctuations, while not required to describe bistability, are fundamental to understand stochastic switching and the dynamical relative stability of multiple states. Public Library of Science 2012-02-21 /pmc/articles/PMC3283640/ /pubmed/22363638 http://dx.doi.org/10.1371/journal.pone.0031407 Text en Frigola et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Frigola, David
Casanellas, Laura
Sancho, José M.
Ibañes, Marta
Asymmetric Stochastic Switching Driven by Intrinsic Molecular Noise
title Asymmetric Stochastic Switching Driven by Intrinsic Molecular Noise
title_full Asymmetric Stochastic Switching Driven by Intrinsic Molecular Noise
title_fullStr Asymmetric Stochastic Switching Driven by Intrinsic Molecular Noise
title_full_unstemmed Asymmetric Stochastic Switching Driven by Intrinsic Molecular Noise
title_short Asymmetric Stochastic Switching Driven by Intrinsic Molecular Noise
title_sort asymmetric stochastic switching driven by intrinsic molecular noise
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3283640/
https://www.ncbi.nlm.nih.gov/pubmed/22363638
http://dx.doi.org/10.1371/journal.pone.0031407
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