Coordination of gene expression noise with cell size: analytical results for agent-based models of growing cell populations.
agent-based modelling
chemical master equation
single-cell analysis
stochastic gene expression
Journal
Journal of the Royal Society, Interface
ISSN: 1742-5662
Titre abrégé: J R Soc Interface
Pays: England
ID NLM: 101217269
Informations de publication
Date de publication:
05 2021
05 2021
Historique:
entrez:
26
5
2021
pubmed:
27
5
2021
medline:
2
7
2021
Statut:
ppublish
Résumé
The chemical master equation and the Gillespie algorithm are widely used to model the reaction kinetics inside living cells. It is thereby assumed that cell growth and division can be modelled through effective dilution reactions and extrinsic noise sources. We here re-examine these paradigms through developing an analytical agent-based framework of growing and dividing cells accompanied by an exact simulation algorithm, which allows us to quantify the dynamics of virtually any intracellular reaction network affected by stochastic cell size control and division noise. We find that the solution of the chemical master equation-including static extrinsic noise-exactly agrees with the agent-based formulation when the network under study exhibits
Identifiants
pubmed: 34034535
doi: 10.1098/rsif.2021.0274
pmc: PMC8150024
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
20210274Subventions
Organisme : Medical Research Council
ID : MR/T018429/1
Pays : United Kingdom
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