Cell population growth kinetics in the presence of stochastic heterogeneity of cell phenotype.


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
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

111645

Commentaires 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.

Auteurs

Yue Wang (Y)

Department of Computational Medicine, University of California, Los Angeles, CA, United States of America; Department of Applied Mathematics, University of Washington, Seattle, WA, United States of America.

Joseph X Zhou (JX)

Institute for Systems Biology, Seattle, WA, United States of America.

Edoardo Pedrini (E)

Institute for Systems Biology, Seattle, WA, United States of America.

Irit Rubin (I)

Institute for Systems Biology, Seattle, WA, United States of America.

May Khalil (M)

Institute for Systems Biology, Seattle, WA, United States of America.

Roberto Taramelli (R)

Department of Theoretical and Applied Science, University of Insubria, Italy.

Hong Qian (H)

Department of Applied Mathematics, University of Washington, Seattle, WA, United States of America.

Sui Huang (S)

Institute for Systems Biology, Seattle, WA, United States of America. Electronic address: sui.huang@isbscience.org.

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Classifications MeSH