Chemical event chain model of coupled genetic oscillators

Autores
Jörg, David J.; Morelli, Luis Guillermo; Jülicher, Frank
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Jörg, David J.. Max Planck Institute For The Physics Of Complex Systems; Alemania. University of Cambridge; Estados Unidos
Fil: Morelli, Luis Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Institut Max Planck fur Molekulare Physiologie; Alemania. Universidad de Buenos Aires; Argentina
Fil: Jülicher, Frank. Max Planck Institute For The Physics Of Complex Systems; Alemania
Materia
COUPLED OSCILLATORS
SYNCHRONIZATION
STOCHASTIC DYNAMICAL SYSTEMS
PHASE OSCILLATOR MODELS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/88746

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network_name_str CONICET Digital (CONICET)
spelling Chemical event chain model of coupled genetic oscillatorsJörg, David J.Morelli, Luis GuillermoJülicher, FrankCOUPLED OSCILLATORSSYNCHRONIZATIONSTOCHASTIC DYNAMICAL SYSTEMSPHASE OSCILLATOR MODELShttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1We 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.Fil: Jörg, David J.. Max Planck Institute For The Physics Of Complex Systems; Alemania. University of Cambridge; Estados UnidosFil: Morelli, Luis Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Institut Max Planck fur Molekulare Physiologie; Alemania. Universidad de Buenos Aires; ArgentinaFil: Jülicher, Frank. Max Planck Institute For The Physics Of Complex Systems; AlemaniaAmerican Physical Society2018-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/88746Jörg, David J.; Morelli, Luis Guillermo; Jülicher, Frank; Chemical event chain model of coupled genetic oscillators; American Physical Society; Physical Review E; 97; 3; 3-2018; 1-11; 0324092470-0045CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.97.032409info:eu-repo/semantics/altIdentifier/url/https://journals.aps.org/pre/abstract/10.1103/PhysRevE.97.032409info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:34:12Zoai:ri.conicet.gov.ar:11336/88746instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:34:12.89CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Chemical event chain model of coupled genetic oscillators
title Chemical event chain model of coupled genetic oscillators
spellingShingle Chemical event chain model of coupled genetic oscillators
Jörg, David J.
COUPLED OSCILLATORS
SYNCHRONIZATION
STOCHASTIC DYNAMICAL SYSTEMS
PHASE OSCILLATOR MODELS
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
dc.creator.none.fl_str_mv Jörg, David J.
Morelli, Luis Guillermo
Jülicher, Frank
author Jörg, David J.
author_facet Jörg, David J.
Morelli, Luis Guillermo
Jülicher, Frank
author_role author
author2 Morelli, Luis Guillermo
Jülicher, Frank
author2_role author
author
dc.subject.none.fl_str_mv COUPLED OSCILLATORS
SYNCHRONIZATION
STOCHASTIC DYNAMICAL SYSTEMS
PHASE OSCILLATOR MODELS
topic COUPLED OSCILLATORS
SYNCHRONIZATION
STOCHASTIC DYNAMICAL SYSTEMS
PHASE OSCILLATOR MODELS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Jörg, David J.. Max Planck Institute For The Physics Of Complex Systems; Alemania. University of Cambridge; Estados Unidos
Fil: Morelli, Luis Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Institut Max Planck fur Molekulare Physiologie; Alemania. Universidad de Buenos Aires; Argentina
Fil: Jülicher, Frank. Max Planck Institute For The Physics Of Complex Systems; Alemania
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.
publishDate 2018
dc.date.none.fl_str_mv 2018-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/88746
Jörg, David J.; Morelli, Luis Guillermo; Jülicher, Frank; Chemical event chain model of coupled genetic oscillators; American Physical Society; Physical Review E; 97; 3; 3-2018; 1-11; 032409
2470-0045
CONICET Digital
CONICET
url http://hdl.handle.net/11336/88746
identifier_str_mv Jörg, David J.; Morelli, Luis Guillermo; Jülicher, Frank; Chemical event chain model of coupled genetic oscillators; American Physical Society; Physical Review E; 97; 3; 3-2018; 1-11; 032409
2470-0045
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.97.032409
info:eu-repo/semantics/altIdentifier/url/https://journals.aps.org/pre/abstract/10.1103/PhysRevE.97.032409
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Physical Society
publisher.none.fl_str_mv American Physical Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432