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Enzyme sequestration by the substrate: An analysis in the deterministic and stochastic domains

This paper is concerned with the potential multistability of protein concentrations in the cell. That is, situations where one, or a family of, proteins may sit at one of two or more different steady state concentrations in otherwise identical cells, and in spite of them being in the same environmen...

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Autores principales: Petrides, Andreas, Vinnicombe, Glenn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5976211/
https://www.ncbi.nlm.nih.gov/pubmed/29771922
http://dx.doi.org/10.1371/journal.pcbi.1006107
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author Petrides, Andreas
Vinnicombe, Glenn
author_facet Petrides, Andreas
Vinnicombe, Glenn
author_sort Petrides, Andreas
collection PubMed
description This paper is concerned with the potential multistability of protein concentrations in the cell. That is, situations where one, or a family of, proteins may sit at one of two or more different steady state concentrations in otherwise identical cells, and in spite of them being in the same environment. For models of multisite protein phosphorylation for example, in the presence of excess substrate, it has been shown that the achievable number of stable steady states can increase linearly with the number of phosphosites available. In this paper, we analyse the consequences of adding enzyme docking to these and similar models, with the resultant sequestration of phosphatase and kinase by the fully unphosphorylated and by the fully phosphorylated substrates respectively. In the large molecule numbers limit, where deterministic analysis is applicable, we prove that there are always values for these rates of sequestration which, when exceeded, limit the extent of multistability. For the models considered here, these numbers are much smaller than the affinity of the enzymes to the substrate when it is in a modifiable state. As substrate enzyme-sequestration is increased, we further prove that the number of steady states will inevitably be reduced to one. For smaller molecule numbers a stochastic analysis is more appropriate, where multistability in the large molecule numbers limit can manifest itself as multimodality of the probability distribution; the system spending periods of time in the vicinity of one mode before jumping to another. Here, we find that substrate enzyme sequestration can induce bimodality even in systems where only a single steady state can exist at large numbers. To facilitate this analysis, we develop a weakly chained diagonally dominant M-matrix formulation of the Chemical Master Equation, allowing greater insights in the way particular mechanisms, like enzyme sequestration, can shape probability distributions and therefore exhibit different behaviour across different regimes.
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spelling pubmed-59762112018-06-16 Enzyme sequestration by the substrate: An analysis in the deterministic and stochastic domains Petrides, Andreas Vinnicombe, Glenn PLoS Comput Biol Research Article This paper is concerned with the potential multistability of protein concentrations in the cell. That is, situations where one, or a family of, proteins may sit at one of two or more different steady state concentrations in otherwise identical cells, and in spite of them being in the same environment. For models of multisite protein phosphorylation for example, in the presence of excess substrate, it has been shown that the achievable number of stable steady states can increase linearly with the number of phosphosites available. In this paper, we analyse the consequences of adding enzyme docking to these and similar models, with the resultant sequestration of phosphatase and kinase by the fully unphosphorylated and by the fully phosphorylated substrates respectively. In the large molecule numbers limit, where deterministic analysis is applicable, we prove that there are always values for these rates of sequestration which, when exceeded, limit the extent of multistability. For the models considered here, these numbers are much smaller than the affinity of the enzymes to the substrate when it is in a modifiable state. As substrate enzyme-sequestration is increased, we further prove that the number of steady states will inevitably be reduced to one. For smaller molecule numbers a stochastic analysis is more appropriate, where multistability in the large molecule numbers limit can manifest itself as multimodality of the probability distribution; the system spending periods of time in the vicinity of one mode before jumping to another. Here, we find that substrate enzyme sequestration can induce bimodality even in systems where only a single steady state can exist at large numbers. To facilitate this analysis, we develop a weakly chained diagonally dominant M-matrix formulation of the Chemical Master Equation, allowing greater insights in the way particular mechanisms, like enzyme sequestration, can shape probability distributions and therefore exhibit different behaviour across different regimes. Public Library of Science 2018-05-17 /pmc/articles/PMC5976211/ /pubmed/29771922 http://dx.doi.org/10.1371/journal.pcbi.1006107 Text en © 2018 Petrides, Vinnicombe http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Petrides, Andreas
Vinnicombe, Glenn
Enzyme sequestration by the substrate: An analysis in the deterministic and stochastic domains
title Enzyme sequestration by the substrate: An analysis in the deterministic and stochastic domains
title_full Enzyme sequestration by the substrate: An analysis in the deterministic and stochastic domains
title_fullStr Enzyme sequestration by the substrate: An analysis in the deterministic and stochastic domains
title_full_unstemmed Enzyme sequestration by the substrate: An analysis in the deterministic and stochastic domains
title_short Enzyme sequestration by the substrate: An analysis in the deterministic and stochastic domains
title_sort enzyme sequestration by the substrate: an analysis in the deterministic and stochastic domains
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5976211/
https://www.ncbi.nlm.nih.gov/pubmed/29771922
http://dx.doi.org/10.1371/journal.pcbi.1006107
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