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Potential Energy Landscape and Robustness of a Gene Regulatory Network: Toggle Switch

Finding a multidimensional potential landscape is the key for addressing important global issues, such as the robustness of cellular networks. We have uncovered the underlying potential energy landscape of a simple gene regulatory network: a toggle switch. This was realized by explicitly constructin...

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Detalles Bibliográficos
Autores principales: Kim, Keun-Young, Wang, Jin
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1848002/
https://www.ncbi.nlm.nih.gov/pubmed/17397255
http://dx.doi.org/10.1371/journal.pcbi.0030060
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author Kim, Keun-Young
Wang, Jin
author_facet Kim, Keun-Young
Wang, Jin
author_sort Kim, Keun-Young
collection PubMed
description Finding a multidimensional potential landscape is the key for addressing important global issues, such as the robustness of cellular networks. We have uncovered the underlying potential energy landscape of a simple gene regulatory network: a toggle switch. This was realized by explicitly constructing the steady state probability of the gene switch in the protein concentration space in the presence of the intrinsic statistical fluctuations due to the small number of proteins in the cell. We explored the global phase space for the system. We found that the protein synthesis rate and the unbinding rate of proteins to the gene were small relative to the protein degradation rate; the gene switch is monostable with only one stable basin of attraction. When both the protein synthesis rate and the unbinding rate of proteins to the gene are large compared with the protein degradation rate, two global basins of attraction emerge for a toggle switch. These basins correspond to the biologically stable functional states. The potential energy barrier between the two basins determines the time scale of conversion from one to the other. We found as the protein synthesis rate and protein unbinding rate to the gene relative to the protein degradation rate became larger, the potential energy barrier became larger. This also corresponded to systems with less noise or the fluctuations on the protein numbers. It leads to the robustness of the biological basins of the gene switches. The technique used here is general and can be applied to explore the potential energy landscape of the gene networks.
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spelling pubmed-18480022007-04-06 Potential Energy Landscape and Robustness of a Gene Regulatory Network: Toggle Switch Kim, Keun-Young Wang, Jin PLoS Comput Biol Research Article Finding a multidimensional potential landscape is the key for addressing important global issues, such as the robustness of cellular networks. We have uncovered the underlying potential energy landscape of a simple gene regulatory network: a toggle switch. This was realized by explicitly constructing the steady state probability of the gene switch in the protein concentration space in the presence of the intrinsic statistical fluctuations due to the small number of proteins in the cell. We explored the global phase space for the system. We found that the protein synthesis rate and the unbinding rate of proteins to the gene were small relative to the protein degradation rate; the gene switch is monostable with only one stable basin of attraction. When both the protein synthesis rate and the unbinding rate of proteins to the gene are large compared with the protein degradation rate, two global basins of attraction emerge for a toggle switch. These basins correspond to the biologically stable functional states. The potential energy barrier between the two basins determines the time scale of conversion from one to the other. We found as the protein synthesis rate and protein unbinding rate to the gene relative to the protein degradation rate became larger, the potential energy barrier became larger. This also corresponded to systems with less noise or the fluctuations on the protein numbers. It leads to the robustness of the biological basins of the gene switches. The technique used here is general and can be applied to explore the potential energy landscape of the gene networks. Public Library of Science 2007-03 2007-03-30 /pmc/articles/PMC1848002/ /pubmed/17397255 http://dx.doi.org/10.1371/journal.pcbi.0030060 Text en © 2007 Kim and Wang. 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
Kim, Keun-Young
Wang, Jin
Potential Energy Landscape and Robustness of a Gene Regulatory Network: Toggle Switch
title Potential Energy Landscape and Robustness of a Gene Regulatory Network: Toggle Switch
title_full Potential Energy Landscape and Robustness of a Gene Regulatory Network: Toggle Switch
title_fullStr Potential Energy Landscape and Robustness of a Gene Regulatory Network: Toggle Switch
title_full_unstemmed Potential Energy Landscape and Robustness of a Gene Regulatory Network: Toggle Switch
title_short Potential Energy Landscape and Robustness of a Gene Regulatory Network: Toggle Switch
title_sort potential energy landscape and robustness of a gene regulatory network: toggle switch
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1848002/
https://www.ncbi.nlm.nih.gov/pubmed/17397255
http://dx.doi.org/10.1371/journal.pcbi.0030060
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