Derivation and experimental comparison of cell-division probability densities.

Leander R, Allen EJ, Garbett SP, Tyson DR, Quaranta V
J Theor Biol. 2014 359: 129-35

PMID: 24931675 · PMCID: PMC5488810 · DOI:10.1016/j.jtbi.2014.06.004

Experiments have shown that, even in a homogeneous population of cells, the distribution of division times is highly variable. In addition, a homogeneous population of cells will exhibit a heterogeneous response to drug therapy. We present a simple stochastic model of the cell cycle as a multistep stochastic process. The model, which is based on our conception of the cell cycle checkpoint, is used to derive an analytical expression for the distribution of cell cycle times. We demonstrate that this distribution provides an accurate representation of cell cycle time variability and show how the model relates drug-induced changes in basic biological parameters to variability in response to drug treatment.

Copyright © 2014 Elsevier Ltd. All rights reserved.

MeSH Terms (14)

Antineoplastic Agents Cell Count Cell Cycle Cell Division Cell Proliferation Cycloheximide Dimethyl Sulfoxide Erlotinib Hydrochloride Humans Models, Theoretical Neoplasms Probability Quinazolines Stochastic Processes

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