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The Challenge of Human Spermatozoa Proteome: A Systematic Review



Gilany K1, 2 ; Minaitehrani A3 ; Amini M1 ; Agharezaee N1, 4 ; Arjmand B2, 5
Authors
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Authors Affiliations
  1. 1. Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, P.O. Box: 19615-1177, Tehran, Iran
  2. 2. Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Nanobiotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran
  4. 4. Department of Genetics, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran
  5. 5. Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran

Source: Journal of Reproduction and Infertility Published:2017

Abstract

Currently, there are 20,197 human protein-coding genes in the most expertly curated database (UniProtKB/Swiss-Pro). Big efforts have been made by the international consortium, the Chromosome-Centric Human Proteome Project (C-HPP) and independent researchers, to map human proteome. In brief, anno 2017 the human proteome was outlined. The male factor contributes to 50% of infertility in couples. However, there are limited human spermatozoa proteomic studies. Firstly, the development of the mapping of the human spermatozoa was analyzed. The human spermatozoa have been used as a model for missing proteins. It has been shown that human spermatozoa are excellent sources for finding missing proteins. Y chromosome proteome mapping is led by Iran. However, it seems that it is extremely challenging to map the human spermatozoa Y chromosome proteins based on current mass spectrometry- based proteomics technology. Post-translation modifications (PTMs) of human spermatozoa proteome are the most unexplored area and currently the exact role of PTMs in male infertility is unknown. Additionally, the clinical human spermatozoa proteomic analysis, anno 2017 was done in this study.