Bocharov Gennady, Luzyanina Tatyana, Cupovic Jovana, Ludewig Burkhard
Institute of Numerical Mathematics, Russian Academy of Sciences , Moscow , Russia.
Front Immunol. 2013 Sep 2;4:264. doi: 10.3389/fimmu.2013.00264.
Flow cytometry-based analysis of lymphocyte division using carboxyfluorescein succinimidyl ester (CFSE) dye dilution permits acquisition of data describing cellular proliferation and differentiation. For example, CFSE histogram data enable quantitative insight into cellular turnover rates by applying mathematical models and parameter estimation techniques. Several mathematical models have been developed using different types of deterministic or stochastic approaches. However, analysis of CFSE proliferation assays is based on the premise that the label is halved in the two daughter cells. Importantly, asymmetry of protein distribution in lymphocyte division is a basic biological feature of cell division with the degree of the asymmetry depending on various factors. Here, we review the recent literature on asymmetric lymphocyte division and CFSE-based lymphocyte proliferation analysis. We suggest that division- and label-structured mathematical models describing CFSE-based cell proliferation should take into account asymmetry and time-lag in cell proliferation. Utilization of improved modeling algorithms will permit straightforward quantification of essential parameters describing the performance of activated lymphocytes.
基于流式细胞术，使用羧基荧光素琥珀酰亚胺酯（CFSE）染料稀释法分析淋巴细胞分裂，能够获取描述细胞增殖和分化的数据。例如，CFSE直方图数据通过应用数学模型和参数估计技术，能够对细胞更新率进行定量洞察。已经使用不同类型的确定性或随机方法开发了几种数学模型。然而，CFSE增殖分析是基于这样一个前提，即标记物在两个子细胞中减半。重要的是，淋巴细胞分裂中蛋白质分布的不对称性是细胞分裂的一个基本生物学特征，不对称程度取决于各种因素。在这里，我们回顾了关于不对称淋巴细胞分裂和基于CFSE的淋巴细胞增殖分析的最新文献。我们建议，描述基于CFSE的细胞增殖的分裂和标记结构数学模型应考虑细胞增殖中的不对称性和时间滞后。利用改进的建模算法将允许直接量化描述活化淋巴细胞性能的基本参数。
