Literature DB >> 24931675

Derivation and experimental comparison of cell-division probability densities.

R Leander1, E J Allen2, S P Garbett3, D R Tyson4, V Quaranta5.   

Abstract

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.

Entities:  

Keywords:  First exit time; Intermitotic time; Mathematical modeling; Stochastic differential equation

Mesh:

Substances:

Year:  2014        PMID: 24931675      PMCID: PMC5488810          DOI: 10.1016/j.jtbi.2014.06.004

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  23 in total

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