Chemical event chain model of coupled genetic oscillators

We introduce a stochastic model of coupled genetic oscillators in which chains of chemical events involved in gene regulation and expression are represented as sequences of Poisson processes. We characterize steady states by their frequency, their quality factor, and their synchrony by the oscillato...

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Autores principales:	Jörg, D.J., Morelli, L.G., Jülicher, F.
Formato:	JOUR
Materias:	Chains Gene expression Gene expression regulation Stochastic systems Cross correlations Distributed delays Genetic oscillators Isolated regions Parameter spaces Phase oscillators Stochastic oscillations Stochastic transitions Stochastic models biological model cells cytology gene expression regulation Markov chain metabolism signal transduction Cells Gene Expression Regulation Models, Biological Signal Transduction Stochastic Processes
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_24700045_v97_n3_p_Jorg
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_24700045_v97_n3_p_Jorg
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spelling	todo:paper_24700045_v97_n3_p_Jorg2023-10-03T16:42:21Z Chemical event chain model of coupled genetic oscillators Jörg, D.J. Morelli, L.G. Jülicher, F. Chains Gene expression Gene expression regulation Stochastic systems Cross correlations Distributed delays Genetic oscillators Isolated regions Parameter spaces Phase oscillators Stochastic oscillations Stochastic transitions Stochastic models biological model cells cytology gene expression regulation Markov chain metabolism signal transduction Cells Gene Expression Regulation Models, Biological Signal Transduction Stochastic Processes We introduce a stochastic model of coupled genetic oscillators in which chains of chemical events involved in gene regulation and expression are represented as sequences of Poisson processes. We characterize steady states by their frequency, their quality factor, and their synchrony by the oscillator cross correlation. The steady state is determined by coupling and exhibits stochastic transitions between different modes. The interplay of stochasticity and nonlinearity leads to isolated regions in parameter space in which the coupled system works best as a biological pacemaker. Key features of the stochastic oscillations can be captured by an effective model for phase oscillators that are coupled by signals with distributed delays. © 2018 American Physical Society. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_24700045_v97_n3_p_Jorg
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Chains Gene expression Gene expression regulation Stochastic systems Cross correlations Distributed delays Genetic oscillators Isolated regions Parameter spaces Phase oscillators Stochastic oscillations Stochastic transitions Stochastic models biological model cells cytology gene expression regulation Markov chain metabolism signal transduction Cells Gene Expression Regulation Models, Biological Signal Transduction Stochastic Processes
spellingShingle	Chains Gene expression Gene expression regulation Stochastic systems Cross correlations Distributed delays Genetic oscillators Isolated regions Parameter spaces Phase oscillators Stochastic oscillations Stochastic transitions Stochastic models biological model cells cytology gene expression regulation Markov chain metabolism signal transduction Cells Gene Expression Regulation Models, Biological Signal Transduction Stochastic Processes Jörg, D.J. Morelli, L.G. Jülicher, F. Chemical event chain model of coupled genetic oscillators
topic_facet	Chains Gene expression Gene expression regulation Stochastic systems Cross correlations Distributed delays Genetic oscillators Isolated regions Parameter spaces Phase oscillators Stochastic oscillations Stochastic transitions Stochastic models biological model cells cytology gene expression regulation Markov chain metabolism signal transduction Cells Gene Expression Regulation Models, Biological Signal Transduction Stochastic Processes
description	We introduce a stochastic model of coupled genetic oscillators in which chains of chemical events involved in gene regulation and expression are represented as sequences of Poisson processes. We characterize steady states by their frequency, their quality factor, and their synchrony by the oscillator cross correlation. The steady state is determined by coupling and exhibits stochastic transitions between different modes. The interplay of stochasticity and nonlinearity leads to isolated regions in parameter space in which the coupled system works best as a biological pacemaker. Key features of the stochastic oscillations can be captured by an effective model for phase oscillators that are coupled by signals with distributed delays. © 2018 American Physical Society.
format	JOUR
author	Jörg, D.J. Morelli, L.G. Jülicher, F.
author_facet	Jörg, D.J. Morelli, L.G. Jülicher, F.
author_sort	Jörg, D.J.
title	Chemical event chain model of coupled genetic oscillators
title_short	Chemical event chain model of coupled genetic oscillators
title_full	Chemical event chain model of coupled genetic oscillators
title_fullStr	Chemical event chain model of coupled genetic oscillators
title_full_unstemmed	Chemical event chain model of coupled genetic oscillators
title_sort	chemical event chain model of coupled genetic oscillators
url	http://hdl.handle.net/20.500.12110/paper_24700045_v97_n3_p_Jorg
work_keys_str_mv	AT jorgdj chemicaleventchainmodelofcoupledgeneticoscillators AT morellilg chemicaleventchainmodelofcoupledgeneticoscillators AT julicherf chemicaleventchainmodelofcoupledgeneticoscillators
_version_	1782026420369752064

Chemical event chain model of coupled genetic oscillators

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