Self-regulatory gene: an exact solution ...
Document type :
Article dans une revue scientifique
PMID :
Permalink :
Title :
Self-regulatory gene: an exact solution for the gene gate model
Author(s) :
Journal title :
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
Abbreviated title :
Phys Rev E Stat Nonlin Soft Matter Phys
Volume number :
87
Pages :
042705
Publication date :
2013-04
ISSN :
1550-2376
English keyword(s) :
Stochastic Processes
Models, Genetic
Gene Expression Regulation
Models, Genetic
Gene Expression Regulation
HAL domain(s) :
Chimie/Chimie théorique et/ou physique
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Administrative institution(s) :
CNRS
Université de Lille
Université de Lille
Research team(s) :
Computational Molecular Systems Biology
Submission date :
2020-02-12T15:11:15Z