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A new model for the estimation of cell proliferation dynamics using CFSE data.

Abstract : CFSE analysis of a proliferating cell population is a popular tool for the study of cell division and divisionlinked changes in cell behavior. Recently Banks et al. (2011), Luzyanina et al. (2009), Luzyanina et al. (2007), a partial differential equation (PDE) model to describe lymphocyte dynamics in a CFSE proliferation assay was proposed. We present a significant revision of this model which improves the physiological understanding of several parameters. Namely, the parameter used previously as a heuristic explanation for the dilution of CFSE dye by cell division is replaced with a more physical component, cellular autofluorescence. The rate at which label decays is also quantified using a Gompertz decay process. We then demonstrate a revised method of fitting the model to the commonly used histogram representation of the data. It is shown that these improvements result in a model with a strong physiological basis which is fully capable of replicating the behavior observed in the data.
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Contributor : Marie Doumic <>
Submitted on : Friday, January 18, 2013 - 3:58:14 PM
Last modification on : Tuesday, December 8, 2020 - 3:37:06 AM

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H. T. Banks, Karyn L Sutton, W Clayton Thompson, Gennady Bocharov, Marie Doumic, et al.. A new model for the estimation of cell proliferation dynamics using CFSE data.. Journal of Immunological Methods, Elsevier, 2011, 373 (1-2), pp.143-60. ⟨10.1016/j.jim.2011.08.014⟩. ⟨hal-00778058⟩



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