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流式细胞术自动算法分析和传统分析评估冷冻保存对T细胞亚群的影响

The Effect of Cryopreservation on T-Cell Subsets by Flow Cytometry Automated Algorithmic Analysis and Conventional Analysis.

作者信息

Min Qian, Lv Qiao, Jiang Lu, Chen Qian, Peng Jin, Zhou Hongli, Zhou Ju, Dai Qian, Zhou Jianyun, Huang Qing

机构信息

Clinical Medical Research Center, Xinqiao Hospital, Army Medical University, Chongqing, China.

出版信息

J Clin Lab Anal. 2025 Feb;39(3):e25146. doi: 10.1002/jcla.25146. Epub 2025 Jan 3.

Abstract

BACKGROUND

Low-temperature cryopreservation is a common method for scientific research and clinical sample preservation when utilizing flow cytometry. In flow cytometry data analysis, traditional manual "gating" is susceptible to past experience and faces the challenge of manual subjective bias, time-consuming, and multidimensional data analysis. With the development of algorithms, the advantages of dimensionality reduction and clustering in result analysis are gradually becoming more prominent.

METHODS

Flow cytometry was used to detect the effects of cryopreservation and freeze-thaw cycle on T-cell subsets, and to analyze the data using automated algorithmic analysis and conventional manual "gating" methods.

RESULTS

The results showed that the number and viability of cells decreased slightly after one freeze-thaw within 2 weeks of cryopreservation, and there was no significant change in the subpopulation proportions and spatial locations by both analysis methods. The changes were significant with the increase of cryopreservation time and freeze-thaw cycle, which may be due to changes in the molecular conformation of the maker as a result of cryopreservation.

CONCLUSION

The results indicate that both analysis methods have reached similar conclusions, but the repeatability and objectivity of automated algorithmic analysis have compensated for the uncertainty brought about by the subjective discretization of traditional manual "gating." In addition, the automated algorithmic analysis more intuitively highlights the spatial positional variations in the relationships between cell populations.

摘要

背景

低温冷冻保存是利用流式细胞术进行科研和临床样本保存的常用方法。在流式细胞术数据分析中,传统的手动“设门”容易受既往经验影响,面临人工主观偏差、耗时以及多维数据分析的挑战。随着算法的发展,降维和聚类在结果分析中的优势逐渐凸显。

方法

采用流式细胞术检测冷冻保存及冻融循环对T细胞亚群的影响,并使用自动化算法分析和传统手动“设门”方法对数据进行分析。

结果

结果显示,在冷冻保存2周内进行一次冻融后,细胞数量和活力略有下降,两种分析方法得到的亚群比例和空间位置均无显著变化。随着冷冻保存时间和冻融循环次数的增加,变化显著,这可能是由于冷冻保存导致标志物分子构象发生改变。

结论

结果表明,两种分析方法得出了相似的结论,但自动化算法分析的重复性和客观性弥补了传统手动“设门”主观离散化带来的不确定性。此外,自动化算法分析更直观地突出了细胞群体间关系的空间位置变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d2/11821723/4d855529387e/JCLA-39-e25146-g002.jpg

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