使用双变量BrdUrd/DNA流式细胞术估计G(2)M细胞死亡。

R Allen White, David M Asmuth, Ying Lu, Nan Wang, Xiao-Dong Li, Lisa Reece, Richard B Pollard, Mostafa Nokta, James F Leary, Nicholas H A Terry
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引用次数: 6

摘要

背景:在相应的论文(Asmuth et al.)中,发现有必要明确地包括细胞死亡来估计细胞增殖的参数。使用双变量流式细胞术来估计胸苷嘧啶类似物标记的细胞的相持续时间和倍增时间是很好的。然而,这些分析方法没有考虑细胞死亡的可能性。本报告证明以G(2)/M估计细胞死亡是可能的。方法:建立实验数量、标记未分裂细胞比例、标记已分裂细胞比例及相对运动的数学模型。这些模型包括这样一种可能性,即DNA含量为G(2)/M的细胞中,只有一定比例的细胞会分裂,其余的细胞在一段时间T(R)后死亡。进行了模拟研究,以测试使用简单方法估计相持续时间和细胞死亡率的可能性。结果:细胞死亡以一种相当复杂的方式改变了相传递时间的估计,这取决于死亡细胞的寿命。然而,仍有可能获得S和G(2)/M中细胞的相持续时间以及G(2)/M中细胞的死亡率的估计。结论:本文提出的方法提供了一种新的方法来表征细胞群体,包括细胞死亡率和细胞增殖的常见测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating cell death in G(2)M using bivariate BrdUrd/DNA flow cytometry.

Background: In an accompanying paper (Asmuth et al.) it was found necessary to include cell death explicitly to estimate parameters of cell proliferation. The use of bivariate flow cytometry to estimate the phase durations and the doubling times of cells labeled with thymidine analogues is well established. However, these methods of analysis do not consider the possibility of cell death. This report demonstrates that estimating cell death in G(2)/M is possible.

Methods: Mathematical models for the experimental quantities, the fraction of labeled undivided cells, the fraction of labeled divided cells, and the relative movement were developed. These models include the possibility that, of the cells with G(2)/M DNA content, only a certain fraction will divide, with the remainder dying after some time T(R). Simulation studies were conducted to test the possibility of using simple methods to estimate phase durations and cell death rates.

Results: Cell death alters the estimates of phase transit times in a rather complex manner that depends on the lifetime of the doomed cells. However, it is still possible to obtain estimates of the phase durations of cells in S and G(2)/M and the death rates of cells in G(2)/M.

Conclusions: The methods presented herein provide a new way to characterize cell populations that includes cell death rates and common measurements of cell proliferation.

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