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A design principle for posttranslational chaotic oscillators

Chaos behavior has been observed in various cellular and molecular processes. Here, we modeled reversible phosphorylation dynamics to elucidate a design principle for autonomous chaos generation that may arise from generic enzymatic reactions. A comprehensive parameter search demonstrated that the r...

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Detalles Bibliográficos
Autores principales: Yamaguchi, Hiroto Q., Ode, Koji L., Ueda, Hiroki R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7786127/
https://www.ncbi.nlm.nih.gov/pubmed/33437934
http://dx.doi.org/10.1016/j.isci.2020.101946
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author Yamaguchi, Hiroto Q.
Ode, Koji L.
Ueda, Hiroki R.
author_facet Yamaguchi, Hiroto Q.
Ode, Koji L.
Ueda, Hiroki R.
author_sort Yamaguchi, Hiroto Q.
collection PubMed
description Chaos behavior has been observed in various cellular and molecular processes. Here, we modeled reversible phosphorylation dynamics to elucidate a design principle for autonomous chaos generation that may arise from generic enzymatic reactions. A comprehensive parameter search demonstrated that the reaction system composed of a set of kinases and phosphatases and two substrates with two modification sites exhibits chaos behavior. All reactions are described according to the Michaelis-Menten reaction scheme without exotic functions being applied to enzymes and substrates. Clustering analysis of parameter sets that can generate chaos behavior revealed the existence of motif structures. These chaos motifs allow the two-substrate species to interact via enzyme availability and constrain the two substrates' dynamic changes in phosphorylation status so that they occur at different timescales. This chaos motif structure is found in several enzymatic reactions, suggesting that chaos behavior may underlie cellular autonomy in a variety of biochemical systems.
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spelling pubmed-77861272021-01-11 A design principle for posttranslational chaotic oscillators Yamaguchi, Hiroto Q. Ode, Koji L. Ueda, Hiroki R. iScience Article Chaos behavior has been observed in various cellular and molecular processes. Here, we modeled reversible phosphorylation dynamics to elucidate a design principle for autonomous chaos generation that may arise from generic enzymatic reactions. A comprehensive parameter search demonstrated that the reaction system composed of a set of kinases and phosphatases and two substrates with two modification sites exhibits chaos behavior. All reactions are described according to the Michaelis-Menten reaction scheme without exotic functions being applied to enzymes and substrates. Clustering analysis of parameter sets that can generate chaos behavior revealed the existence of motif structures. These chaos motifs allow the two-substrate species to interact via enzyme availability and constrain the two substrates' dynamic changes in phosphorylation status so that they occur at different timescales. This chaos motif structure is found in several enzymatic reactions, suggesting that chaos behavior may underlie cellular autonomy in a variety of biochemical systems. Elsevier 2020-12-15 /pmc/articles/PMC7786127/ /pubmed/33437934 http://dx.doi.org/10.1016/j.isci.2020.101946 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Yamaguchi, Hiroto Q.
Ode, Koji L.
Ueda, Hiroki R.
A design principle for posttranslational chaotic oscillators
title A design principle for posttranslational chaotic oscillators
title_full A design principle for posttranslational chaotic oscillators
title_fullStr A design principle for posttranslational chaotic oscillators
title_full_unstemmed A design principle for posttranslational chaotic oscillators
title_short A design principle for posttranslational chaotic oscillators
title_sort design principle for posttranslational chaotic oscillators
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7786127/
https://www.ncbi.nlm.nih.gov/pubmed/33437934
http://dx.doi.org/10.1016/j.isci.2020.101946
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