Cell population growth kinetics in the presence of stochastic heterogeneity of cell phenotype.
Branching process
Growth pattern
Heterogeneity
Leukemia
Journal
Journal of theoretical biology
ISSN: 1095-8541
Titre abrégé: J Theor Biol
Pays: England
ID NLM: 0376342
Informations de publication
Date de publication:
07 Nov 2023
07 Nov 2023
Historique:
received:
03
03
2023
revised:
29
09
2023
accepted:
13
10
2023
medline:
20
11
2023
pubmed:
21
10
2023
entrez:
20
10
2023
Statut:
ppublish
Résumé
Recent studies at individual cell resolution have revealed phenotypic heterogeneity in nominally clonal tumor cell populations. The heterogeneity affects cell growth behaviors, which can result in departure from the idealized uniform exponential growth of the cell population. Here we measured the stochastic time courses of growth of an ensemble of populations of HL60 leukemia cells in cultures, starting with distinct initial cell numbers to capture a departure from the uniform exponential growth model for the initial growth ("take-off"). Despite being derived from the same cell clone, we observed significant variations in the early growth patterns of individual cultures with statistically significant differences in growth dynamics, which could be explained by the presence of inter-converting subpopulations with different growth rates, and which could last for many generations. Based on the hypothesis of existence of multiple subpopulations, we developed a branching process model that was consistent with the experimental observations.
Identifiants
pubmed: 37863423
pii: S0022-5193(23)00242-4
doi: 10.1016/j.jtbi.2023.111645
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
111645Commentaires et corrections
Type : UpdateOf
Type : UpdateOf
Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest None.