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

Banks, H. Thomas; Sutton, Karyn L.; Thompson, W. Clayton; Bocharov, Gennady A.; Doumic, Marie; Schenkel, Tim; Argilaguet Marqués, Jordi, 1977-; Giest, Sandra; Peligero Cruz, Cristina, 1986-; Meyerhans, Andreas

doi:http://dx.doi.org/10.1016/j.jim.2011.08.014

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

Citation

Banks HT, Sutton KL, Thompson WC, Bocharov G, Doumic M, Schenkel T et al. A new model for the estimation of cell proliferation dynamics using CFSE data. J Immunol Methods. 2011;373(1-2):143-60. DOI 10.1016/j.jim.2011.08.014

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.