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应用图像细胞术对 TUNEL 染色精子进行高通量分析。

High-throughput analysis of TUNEL-stained sperm using image cytometry.

机构信息

A.N. Belozersky Institute of Physico-Chemical Biology, M.V. Lomonosov Moscow State University, Moscow, 119992, Russian Federation.

Рeoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation.

出版信息

Cytometry A. 2017 Sep;91(9):854-858. doi: 10.1002/cyto.a.23164. Epub 2017 Jul 5.

DOI:10.1002/cyto.a.23164
PMID:28678382
Abstract

Sperm DNA integrity is an essential factor for successful fertilization and proper pregnancy progression. The terminal deoxynucleotidyl transferase dUTP nick end-labeling (TUNEL) assay is commonly used for the estimation of the DNA fragmentation index. Analysis of TUNEL-stained sperm is often performed by flow cytometry, an approach that allows high-throughput analysis but in which any morphological information is lost. In this study, results of an automated image cytometry estimation of TUNEL-stained sperms were presented. The results of visual counting and automatic analysis were closely correlated, indicating that image cytometry is suitable for such analysis and may be applied in a clinical setting. © 2017 International Society for Advancement of Cytometry.

摘要

精子 DNA 完整性是成功受精和妊娠正常进展的重要因素。末端脱氧核苷酸转移酶 dUTP 缺口末端标记(TUNEL)检测法常用于评估 DNA 碎片指数。TUNEL 染色精子的分析通常通过流式细胞术进行,该方法允许高通量分析,但会丢失任何形态学信息。在这项研究中,介绍了一种自动化图像细胞术对 TUNEL 染色精子进行估计的结果。视觉计数和自动分析的结果密切相关,表明图像细胞术适用于这种分析,并且可能在临床环境中应用。

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