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The Profile of Human Sperm Proteome; A Mini-review

New advances in mass spectrometry-based proteomics technology are having a major impact on our understanding of how human spermatozoa acquire their capacity for fertilization. A complete analysis of the proteins found in the human spermatozoa is essential for understanding the events leading up to,...

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Autores principales: Gilany, Kambiz, Lakpour, Niknam, Vafakhah, Mohtaram, Sadeghi, Mohammad Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Avicenna Research Institute 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3719287/
https://www.ncbi.nlm.nih.gov/pubmed/23926502
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author Gilany, Kambiz
Lakpour, Niknam
Vafakhah, Mohtaram
Sadeghi, Mohammad Reza
author_facet Gilany, Kambiz
Lakpour, Niknam
Vafakhah, Mohtaram
Sadeghi, Mohammad Reza
author_sort Gilany, Kambiz
collection PubMed
description New advances in mass spectrometry-based proteomics technology are having a major impact on our understanding of how human spermatozoa acquire their capacity for fertilization. A complete analysis of the proteins found in the human spermatozoa is essential for understanding the events leading up to, and including, fertilization and early embryo development. In this short review, we have collected the human sperm proteome from the literature and analyzed it by the Database for Annotation, Visualization and Integrated Discovery (DAVID) software. Bioinformatics analysis demonstrated that the collected 1,300 proteins were involved in various metabolic pathways including catabolic processes. Additionally, the majority of the collected human sperm proteome belonged to cytoplasm. Application of the multi-dimensional protein identification technology (MudPIT) for obtaining a better coverage of the hydrophobic and basic proteins of the human sperm proteome is recommended.
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spelling pubmed-37192872013-08-07 The Profile of Human Sperm Proteome; A Mini-review Gilany, Kambiz Lakpour, Niknam Vafakhah, Mohtaram Sadeghi, Mohammad Reza J Reprod Infertil Review Article New advances in mass spectrometry-based proteomics technology are having a major impact on our understanding of how human spermatozoa acquire their capacity for fertilization. A complete analysis of the proteins found in the human spermatozoa is essential for understanding the events leading up to, and including, fertilization and early embryo development. In this short review, we have collected the human sperm proteome from the literature and analyzed it by the Database for Annotation, Visualization and Integrated Discovery (DAVID) software. Bioinformatics analysis demonstrated that the collected 1,300 proteins were involved in various metabolic pathways including catabolic processes. Additionally, the majority of the collected human sperm proteome belonged to cytoplasm. Application of the multi-dimensional protein identification technology (MudPIT) for obtaining a better coverage of the hydrophobic and basic proteins of the human sperm proteome is recommended. Avicenna Research Institute 2011 /pmc/articles/PMC3719287/ /pubmed/23926502 Text en Copyright © 2011 Avicenna Research Institute http://creativecommons.org/licenses/by-nc/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
spellingShingle Review Article
Gilany, Kambiz
Lakpour, Niknam
Vafakhah, Mohtaram
Sadeghi, Mohammad Reza
The Profile of Human Sperm Proteome; A Mini-review
title The Profile of Human Sperm Proteome; A Mini-review
title_full The Profile of Human Sperm Proteome; A Mini-review
title_fullStr The Profile of Human Sperm Proteome; A Mini-review
title_full_unstemmed The Profile of Human Sperm Proteome; A Mini-review
title_short The Profile of Human Sperm Proteome; A Mini-review
title_sort profile of human sperm proteome; a mini-review
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3719287/
https://www.ncbi.nlm.nih.gov/pubmed/23926502
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