Proteomics in Human Reproduction: Biomarkers for Millennials (SpringerBriefs in Reproductive Biology)

Agarwal, Ashok; Samanta, Luna; Bertolla, Ricardo P.; Durairajanayagam, Damayanthi; Intasqui, Paula

ISBN 10: 3319484168 / ISBN 13: 9783319484167

Published by Springer, 2016

About this Item

Print on Demand pp. 140.

Seller Inventory # 385790709

Bibliographic Details

• Title: Proteomics in Human Reproduction: Biomarkers for Millennials (SpringerBriefs in Reproductive Biology)
• Publisher: Springer
• Publication Date: 2016
• Language: English
• ISBN 10: 3319484168
• ISBN 13: 9783319484167
• Binding: Soft cover
• Condition: New

About this title

Synopsis

This Brief explores the use of proteomics as a tool for biomarker discovery in human reproduction and summarizes current findings and trends of proteomic studies in both male and female infertility. This simplifies this important but complex topic and equips the novice reader with sufficient background information on the use of proteomics in human reproduction. The up-to-date scenario on proteomic investigations will also appeal to researchers and post graduate students looking to keep abreast with the latest developments in reproductive research. This review summarizes current findings of contemporary proteomic studies on infertility in both males and females with various reproductive pathologies, and its use in predicting the outcome of assisted reproduction. In human reproduction, the search for biomarkers via proteomics is a fast-evolving approach that involves the analysis of proteins in the reproductive tissues and fluids, such as the male gametes, seminal plasma, ovarian and endometrial tissue, and follicular and uterine fluid. By comparing the protein profile of a healthy, fertile individual against that of an infertile individual, the differentially expressed proteins may give an indication to certain proteins that could serve as useful biomarkers that are related to infertility. As proteomic studies continue to unravel the dynamic proteome behind various infertility conditions, there is potential for the discovery of prognostic markers that could ultimately help in both natural and assisted human reproduction.