Self-regulatory gene: an exact solution ...
Type de document :
Article dans une revue scientifique
PMID :
URL permanente :
Titre :
Self-regulatory gene: an exact solution for the gene gate model
Auteur(s) :
Vandecan, Yves [Auteur]
Institut de Recherche Interdisciplinaire [Villeneuve d'Ascq] [IRI]
Blossey, Ralf [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Institut de Recherche Interdisciplinaire [Villeneuve d'Ascq] [IRI]
Institut de Recherche Interdisciplinaire [Villeneuve d'Ascq] [IRI]
Blossey, Ralf [Auteur]

Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Institut de Recherche Interdisciplinaire [Villeneuve d'Ascq] [IRI]
Titre de la revue :
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
Nom court de la revue :
Phys Rev E Stat Nonlin Soft Matter Phys
Numéro :
87
Pagination :
042705
Date de publication :
2013-04
ISSN :
1550-2376
Mot(s)-clé(s) en anglais :
Stochastic Processes
Models, Genetic
Gene Expression Regulation
Models, Genetic
Gene Expression Regulation
Discipline(s) HAL :
Chimie/Chimie théorique et/ou physique
Résumé en anglais : [en]
The stochastic dynamics of gene expression is often described by highly abstract models involving only the key molecular actors DNA, RNA, and protein, neglecting all further details of the transcription and translation ...
Lire la suite >The stochastic dynamics of gene expression is often described by highly abstract models involving only the key molecular actors DNA, RNA, and protein, neglecting all further details of the transcription and translation processes. One example of such models is the "gene gate model," which contains a minimal set of actors and kinetic parameters, which allows us to describe the regulation of a gene by both repression and activation. Based on this approach, we formulate a master equation for the case of a single gene regulated by its own product-a transcription factor-and solve it exactly. The obtained gene product distributions display features of mono- and bimodality, depending on the choice of parameters. We discuss our model in the perspective of other models in the literature.Lire moins >
Lire la suite >The stochastic dynamics of gene expression is often described by highly abstract models involving only the key molecular actors DNA, RNA, and protein, neglecting all further details of the transcription and translation processes. One example of such models is the "gene gate model," which contains a minimal set of actors and kinetic parameters, which allows us to describe the regulation of a gene by both repression and activation. Based on this approach, we formulate a master equation for the case of a single gene regulated by its own product-a transcription factor-and solve it exactly. The obtained gene product distributions display features of mono- and bimodality, depending on the choice of parameters. We discuss our model in the perspective of other models in the literature.Lire moins >
Langue :
Anglais
Audience :
Non spécifiée
Établissement(s) :
CNRS
Université de Lille
Université de Lille
Équipe(s) de recherche :
Computational Molecular Systems Biology
Date de dépôt :
2020-02-12T15:11:15Z
2021-03-18T08:27:57Z
2021-03-18T08:27:57Z