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流式细胞术细胞亚群估计错误的数学分析:重新探讨活细胞染色。

Mathematical analysis of mis-estimation of cell subsets in flow cytometry: viability staining revisited.

机构信息

Unit of Reproductive Medicine of Clinics, Clinic for Horses, University of Veterinary Medicine Hannover, Foundation, Germany.

出版信息

J Immunol Methods. 2011 May 31;368(1-2):71-9. doi: 10.1016/j.jim.2011.02.009. Epub 2011 Feb 26.

Abstract

Many research projects in cell biology now use flow cytometry for analysis or for isolation of specific cell types. In such studies, cell viability is obviously a crucial issue. However, many studies appear to rely upon light-scattering characteristics to identify and gate out non-viable cells, despite the fact that reliable identification of such cells can only be achieved through staining with impermeable fluorescent nuclear dyes such as propidium iodide or 7-amino actinomycin. In this paper we apply mathematical analysis to the theoretical problem of quantifying cell sub-populations labeled with two or more fluorescent markers, comparing situations in which dead cells have been identified with those in which cell viability has not been assessed. We demonstrate that in all cases in which dead cells are present within the population, percentages of live sub-populations in different subsets are mis-estimated. In cases where the pattern of marker expression differs greatly between live and dead cells, or where the proportion of dead cells is high, this mis-estimation will be aggravated; the subsets pattern will therefore be biased in a population selected only on the basis of light-scatter behavior. The importance of accurately detecting and gating out dead cells is illustrated by an experimental example accompanying the mathematical analysis. To conclude, identification of dead cells by means of viability stains should be an absolute routine in practical flow cytometry, so as to avoid mis-estimation in sorting or analysis.

摘要

现在,许多细胞生物学研究项目都使用流式细胞术进行分析或特定细胞类型的分离。在这些研究中,细胞活力显然是一个关键问题。然而,尽管只有通过不透光的荧光核染料(如碘化丙啶或 7-氨基放线菌素)对细胞进行染色,才能可靠地识别这些细胞,但许多研究似乎仍然依赖于光散射特性来识别和排除非存活细胞。在本文中,我们应用数学分析方法来解决用两种或更多荧光标记物标记的细胞亚群进行定量的理论问题,比较了已识别死亡细胞的情况和未评估细胞活力的情况。我们证明,在所有存在死亡细胞的情况下,不同亚群中存活亚群的百分比都会被错误估计。在活细胞和死细胞之间的标记表达模式差异很大的情况下,或者死亡细胞的比例较高的情况下,这种错误估计将会加剧;因此,仅基于光散射行为选择的群体中,子集模式将会存在偏差。伴随数学分析的一个实验示例说明了准确检测和排除死细胞的重要性。总之,通过活力染色来识别死细胞应该成为实际流式细胞术中的绝对常规,以避免在分选或分析中出现错误估计。

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