Emergence of switch-like behavior in a large family of simple biochemical networks.

Bistability plays a central role in the gene regulatory networks (GRNs) controlling many essential biological functions, including cellular differentiation and cell cycle control. However, establishing the network topologies that can exhibit bistability remains a challenge, in part due to the exceed...

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Autores principales: Dan Siegal-Gaskins, Maria Katherine Mejia-Guerra, Gregory D Smith, Erich Grotewold
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Publicado: Public Library of Science (PLoS) 2011
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Acceso en línea:https://doaj.org/article/4afa6bc3f26446fc82febb692eee5f02
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spelling oai:doaj.org-article:4afa6bc3f26446fc82febb692eee5f022021-11-18T05:50:33ZEmergence of switch-like behavior in a large family of simple biochemical networks.1553-734X1553-735810.1371/journal.pcbi.1002039https://doaj.org/article/4afa6bc3f26446fc82febb692eee5f022011-05-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21589886/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Bistability plays a central role in the gene regulatory networks (GRNs) controlling many essential biological functions, including cellular differentiation and cell cycle control. However, establishing the network topologies that can exhibit bistability remains a challenge, in part due to the exceedingly large variety of GRNs that exist for even a small number of components. We begin to address this problem by employing chemical reaction network theory in a comprehensive in silico survey to determine the capacity for bistability of more than 40,000 simple networks that can be formed by two transcription factor-coding genes and their associated proteins (assuming only the most elementary biochemical processes). We find that there exist reaction rate constants leading to bistability in ∼90% of these GRN models, including several circuits that do not contain any of the TF cooperativity commonly associated with bistable systems, and the majority of which could only be identified as bistable through an original subnetwork-based analysis. A topological sorting of the two-gene family of networks based on the presence or absence of biochemical reactions reveals eleven minimal bistable networks (i.e., bistable networks that do not contain within them a smaller bistable subnetwork). The large number of previously unknown bistable network topologies suggests that the capacity for switch-like behavior in GRNs arises with relative ease and is not easily lost through network evolution. To highlight the relevance of the systematic application of CRNT to bistable network identification in real biological systems, we integrated publicly available protein-protein interaction, protein-DNA interaction, and gene expression data from Saccharomyces cerevisiae, and identified several GRNs predicted to behave in a bistable fashion.Dan Siegal-GaskinsMaria Katherine Mejia-GuerraGregory D SmithErich GrotewoldPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 7, Iss 5, p e1002039 (2011)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Dan Siegal-Gaskins
Maria Katherine Mejia-Guerra
Gregory D Smith
Erich Grotewold
Emergence of switch-like behavior in a large family of simple biochemical networks.
description Bistability plays a central role in the gene regulatory networks (GRNs) controlling many essential biological functions, including cellular differentiation and cell cycle control. However, establishing the network topologies that can exhibit bistability remains a challenge, in part due to the exceedingly large variety of GRNs that exist for even a small number of components. We begin to address this problem by employing chemical reaction network theory in a comprehensive in silico survey to determine the capacity for bistability of more than 40,000 simple networks that can be formed by two transcription factor-coding genes and their associated proteins (assuming only the most elementary biochemical processes). We find that there exist reaction rate constants leading to bistability in ∼90% of these GRN models, including several circuits that do not contain any of the TF cooperativity commonly associated with bistable systems, and the majority of which could only be identified as bistable through an original subnetwork-based analysis. A topological sorting of the two-gene family of networks based on the presence or absence of biochemical reactions reveals eleven minimal bistable networks (i.e., bistable networks that do not contain within them a smaller bistable subnetwork). The large number of previously unknown bistable network topologies suggests that the capacity for switch-like behavior in GRNs arises with relative ease and is not easily lost through network evolution. To highlight the relevance of the systematic application of CRNT to bistable network identification in real biological systems, we integrated publicly available protein-protein interaction, protein-DNA interaction, and gene expression data from Saccharomyces cerevisiae, and identified several GRNs predicted to behave in a bistable fashion.
format article
author Dan Siegal-Gaskins
Maria Katherine Mejia-Guerra
Gregory D Smith
Erich Grotewold
author_facet Dan Siegal-Gaskins
Maria Katherine Mejia-Guerra
Gregory D Smith
Erich Grotewold
author_sort Dan Siegal-Gaskins
title Emergence of switch-like behavior in a large family of simple biochemical networks.
title_short Emergence of switch-like behavior in a large family of simple biochemical networks.
title_full Emergence of switch-like behavior in a large family of simple biochemical networks.
title_fullStr Emergence of switch-like behavior in a large family of simple biochemical networks.
title_full_unstemmed Emergence of switch-like behavior in a large family of simple biochemical networks.
title_sort emergence of switch-like behavior in a large family of simple biochemical networks.
publisher Public Library of Science (PLoS)
publishDate 2011
url https://doaj.org/article/4afa6bc3f26446fc82febb692eee5f02
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