High‐throughput analysis of TUNEL‐stained sperm using image cytometry

• Published in: Cytometry. Part A Vol. 91; no. 9; pp. 854 - 858
• Main Authors: Arifulin, E. A., Bragina, E. E., Kurilo, L. F., Sheval, E. V.
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.09.2017
• Subjects: Automation; Correlation analysis; Cytometry; Deoxyribonucleic acid; DNA; DNA - genetics; DNA Fragmentation; DNA nucleotidylexotransferase; Female; Fertilization; Fertilization - physiology; Flow cytometry; Flow Cytometry - methods; Humans; image cytometry; Image Cytometry - methods; In Situ Nick-End Labeling - methods; Male; Pregnancy; Sperm; spermatozoa; Spermatozoa - physiology; Staining and Labeling - methods; TUNEL; TUNEL; image cytometry; spermatozoa; DNA fragmentation
• ISSN: 1552-4922; 1552-4930
• DOI: 10.1002/cyto.a.23164

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