4.2 Article

Quantitative Proteomic Analysis of Human Seminal Plasma from Normozoospermic and Asthenozoospermic Individuals

Journal

BIOMED RESEARCH INTERNATIONAL
Volume 2019, Issue -, Pages -

Publisher

HINDAWI LTD
DOI: 10.1155/2019/2735038

Keywords

-

Funding

  1. National Natural Science Foundation of China [81701511, 81701508]
  2. Open Project of the State Key Laboratory of Reproductive Medicine [SKLRM-KA201611, SKLRM-KA201602]
  3. Jiangsu Provincial Natural Science Foundation [BK20160177]
  4. Jiangsu Provincial Young Medical Talents Program [QNRC2016157]
  5. Wuxi Young Medical Talents Program [QNRC016, QNRC017]

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Seminal plasma is a complex mixture of secretions from various glands in the male genital tract. Compared to sperm cells, it contains important proteins that are both directly and indirectly associated with sperm motility. Here, we constructed quantitative proteomes of human seminal plasma from three normozoospermic and asthenozoospermic individuals. A total of 524 proteins were identified, and 366 of them were found to be quantified in all six samples. We first investigated the absolute expression features of these proteins and found that the variations of protein identification among different samples and other published datasets were mainly due to some lowly expressed proteins. By integration of various proteomic datasets and bioinformatics databases, we comprehensively annotated the biological functions, physiological originations, and disease associations of these proteins. We found that our dataset could benefit the studies of both male infertility and other male diseases. Finally, based on the relative expression values determined by chemical labeling, we identified a total of 29 differentially expressed proteins, which could be used as candidate targets for studying the molecular bases of sperm motility or developing precise diagnostic biomarkers of asthenozoospermia. We further successfully verified the expression trends of four representative proteins by Western blotting. Compared to a previous dataset based on label-free quantification, our results showed that most of the important proteins could be identified in the sample collected only once for each individual, providing the bases for personalized examination of seminal plasma proteins in clinic.

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