Out-of-equilibrium gene expression fluctuations in the presence of extrinsic noise.
gene expression
noise
stochastic models
Journal
Physical biology
ISSN: 1478-3975
Titre abrégé: Phys Biol
Pays: England
ID NLM: 101197454
Informations de publication
Date de publication:
10 08 2023
10 08 2023
Historique:
received:
13
03
2023
accepted:
25
07
2023
medline:
11
8
2023
pubmed:
25
7
2023
entrez:
25
7
2023
Statut:
epublish
Résumé
Cell-to-cell variability in protein concentrations is strongly affected by extrinsic noise, especially for highly expressed genes. Extrinsic noise can be due to fluctuations of several possible cellular factors connected to cell physiology and to the level of key enzymes in the expression process. However, how to identify the predominant sources of extrinsic noise in a biological system is still an open question. This work considers a general stochastic model of gene expression with extrinsic noise represented as fluctuations of the different model rates, and focuses on the out-of-equilibrium expression dynamics. Combining analytical calculations with stochastic simulations, we characterize how extrinsic noise shapes the protein variability during gene activation or inactivation, depending on the prevailing source of extrinsic variability, on its intensity and timescale. In particular, we show that qualitatively different noise profiles can be identified depending on which are the fluctuating parameters. This indicates an experimentally accessible way to pinpoint the dominant sources of extrinsic noise using time-coarse experiments.
Identifiants
pubmed: 37489881
doi: 10.1088/1478-3975/acea4e
pmc: PMC10680095
mid: NIHMS1943059
doi:
Substances chimiques
Proteins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIGMS NIH HHS
ID : R35 GM148351
Pays : United States
Informations de copyright
Creative Commons Attribution license.
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