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PMID: 24016215 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Review

Proteomic revolution to improve tools for evaluating male fertility in animals.

Journal of proteome research ·Vol. 12 ·No. 11 ·2013-11-01 ·Pages 4738-47

Park YJ, Kim J, You YA, Pang MG

Abstract

Artificial insemination has been used as a common breeding technique for the rapid dissemination of important genes to improve livestock quality. However, infertility or subfertility in the male leads to the disintegration of the breeding system and large economic losses. Therefore, the development of an accurate diagnostic protocol for male fertility is of critical importance. To this end, many basic laboratory assays have been developed on the basis of semen analysis. Although these assays may provide a preliminary estimate of male fertility, their accuracies are often unacceptably low. Therefore, it is vital to develop new semen analyses that are simple to use and accurate. Proteomic approaches will shed light on understanding sperm physiology and help in developing new diagnostic tools for male fertility. The aim of this study was to review the retrospective semen analyses and prospective proteomic studies of male fertility determination and usefulness of proteomic approaches in diagnosing male fertility potential in animal industry.

MeSH Terms
Animals Breeding/methods Fertility/genetics,physiology Infertility, Male/diagnosis,veterinary Male Proteomics/methods,trends Semen Analysis/methods,trends,veterinary Seminal Plasma Proteins/genetics,metabolism Signal Transduction/genetics Spermatozoa/metabolism,physiology
Chemicals
Seminal Plasma Proteins
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Park Yoo-Jin
Department of Animal Science and Technology, Chung-Ang University , Anseong, Gyeonggi-do 456-756, Korea.
Kim Jin
You Young-Ah
Pang Myung-Geol
Article Info
Journal
Journal of proteome research
Abbr.
J Proteome Res
ISSN
1535-3907
Published
2013-11-01
Epub
2013-00-24
Pages
4738-47
Language
English
Region
United States
NLM ID
101128775
Subset
IM
Analysis Services
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