Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC 27695-8212, USA.
J Immunol Methods. 2011 Oct 28;373(1-2):143-60. doi: 10.1016/j.jim.2011.08.014. Epub 2011 Aug 24.
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.
CFSE 分析是一种常用于研究细胞分裂和与分裂相关的细胞行为变化的增殖细胞群体分析方法。最近，Banks 等人（2011 年）、Luzyanina 等人（2009 年）、Luzyanina 等人（2007 年）提出了一个偏微分方程（PDE）模型来描述 CFSE 增殖实验中的淋巴细胞动力学。我们对该模型进行了重要的修订，改进了对几个参数的生理理解。具体来说，以前用于解释 CFSE 染料因细胞分裂而稀释的参数被更具物理意义的细胞自发荧光所取代。标签衰变的速率也使用 Gompertz 衰减过程进行量化。然后，我们演示了一种修订后的方法，将模型拟合到常用的直方图数据表示形式。结果表明，这些改进使模型具有很强的生理基础，能够完全复制数据中观察到的行为。
