Cargando…

The stochastic behavior of a molecular switching circuit with feedback

BACKGROUND: Using a statistical physics approach, we study the stochastic switching behavior of a model circuit of multisite phosphorylation and dephosphorylation with feedback. The circuit consists of a kinase and phosphatase acting on multiple sites of a substrate that, contingent on its modificat...

Descripción completa

Detalles Bibliográficos
Autores principales: Krishnamurthy, Supriya, Smith, Eric, Krakauer, David, Fontana, Walter
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1904185/
https://www.ncbi.nlm.nih.gov/pubmed/17540019
http://dx.doi.org/10.1186/1745-6150-2-13
_version_ 1782133965384056832
author Krishnamurthy, Supriya
Smith, Eric
Krakauer, David
Fontana, Walter
author_facet Krishnamurthy, Supriya
Smith, Eric
Krakauer, David
Fontana, Walter
author_sort Krishnamurthy, Supriya
collection PubMed
description BACKGROUND: Using a statistical physics approach, we study the stochastic switching behavior of a model circuit of multisite phosphorylation and dephosphorylation with feedback. The circuit consists of a kinase and phosphatase acting on multiple sites of a substrate that, contingent on its modification state, catalyzes its own phosphorylation and, in a symmetric scenario, dephosphorylation. The symmetric case is viewed as a cartoon of conflicting feedback that could result from antagonistic pathways impinging on the state of a shared component. RESULTS: Multisite phosphorylation is sufficient for bistable behavior under feedback even when catalysis is linear in substrate concentration, which is the case we consider. We compute the phase diagram, fluctuation spectrum and large-deviation properties related to switch memory within a statistical mechanics framework. Bistability occurs as either a first-order or second-order non-equilibrium phase transition, depending on the network symmetries and the ratio of phosphatase to kinase numbers. In the second-order case, the circuit never leaves the bistable regime upon increasing the number of substrate molecules at constant kinase to phosphatase ratio. CONCLUSION: The number of substrate molecules is a key parameter controlling both the onset of the bistable regime, fluctuation intensity, and the residence time in a switched state. The relevance of the concept of memory depends on the degree of switch symmetry, as memory presupposes information to be remembered, which is highest for equal residence times in the switched states. REVIEWERS: This article was reviewed by Artem Novozhilov (nominated by Eugene Koonin), Sergei Maslov, and Ned Wingreen.
format Text
id pubmed-1904185
institution National Center for Biotechnology Information
language English
publishDate 2007
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-19041852007-06-29 The stochastic behavior of a molecular switching circuit with feedback Krishnamurthy, Supriya Smith, Eric Krakauer, David Fontana, Walter Biol Direct Research BACKGROUND: Using a statistical physics approach, we study the stochastic switching behavior of a model circuit of multisite phosphorylation and dephosphorylation with feedback. The circuit consists of a kinase and phosphatase acting on multiple sites of a substrate that, contingent on its modification state, catalyzes its own phosphorylation and, in a symmetric scenario, dephosphorylation. The symmetric case is viewed as a cartoon of conflicting feedback that could result from antagonistic pathways impinging on the state of a shared component. RESULTS: Multisite phosphorylation is sufficient for bistable behavior under feedback even when catalysis is linear in substrate concentration, which is the case we consider. We compute the phase diagram, fluctuation spectrum and large-deviation properties related to switch memory within a statistical mechanics framework. Bistability occurs as either a first-order or second-order non-equilibrium phase transition, depending on the network symmetries and the ratio of phosphatase to kinase numbers. In the second-order case, the circuit never leaves the bistable regime upon increasing the number of substrate molecules at constant kinase to phosphatase ratio. CONCLUSION: The number of substrate molecules is a key parameter controlling both the onset of the bistable regime, fluctuation intensity, and the residence time in a switched state. The relevance of the concept of memory depends on the degree of switch symmetry, as memory presupposes information to be remembered, which is highest for equal residence times in the switched states. REVIEWERS: This article was reviewed by Artem Novozhilov (nominated by Eugene Koonin), Sergei Maslov, and Ned Wingreen. BioMed Central 2007-05-31 /pmc/articles/PMC1904185/ /pubmed/17540019 http://dx.doi.org/10.1186/1745-6150-2-13 Text en Copyright © 2007 Krishnamurthy et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Krishnamurthy, Supriya
Smith, Eric
Krakauer, David
Fontana, Walter
The stochastic behavior of a molecular switching circuit with feedback
title The stochastic behavior of a molecular switching circuit with feedback
title_full The stochastic behavior of a molecular switching circuit with feedback
title_fullStr The stochastic behavior of a molecular switching circuit with feedback
title_full_unstemmed The stochastic behavior of a molecular switching circuit with feedback
title_short The stochastic behavior of a molecular switching circuit with feedback
title_sort stochastic behavior of a molecular switching circuit with feedback
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1904185/
https://www.ncbi.nlm.nih.gov/pubmed/17540019
http://dx.doi.org/10.1186/1745-6150-2-13
work_keys_str_mv AT krishnamurthysupriya thestochasticbehaviorofamolecularswitchingcircuitwithfeedback
AT smitheric thestochasticbehaviorofamolecularswitchingcircuitwithfeedback
AT krakauerdavid thestochasticbehaviorofamolecularswitchingcircuitwithfeedback
AT fontanawalter thestochasticbehaviorofamolecularswitchingcircuitwithfeedback
AT krishnamurthysupriya stochasticbehaviorofamolecularswitchingcircuitwithfeedback
AT smitheric stochasticbehaviorofamolecularswitchingcircuitwithfeedback
AT krakauerdavid stochasticbehaviorofamolecularswitchingcircuitwithfeedback
AT fontanawalter stochasticbehaviorofamolecularswitchingcircuitwithfeedback