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Comprehensive proteomic analysis of bovine spermatozoa of varying fertility rates and identification of biomarkers associated with fertility

BACKGROUND: Male infertility is a major problem for mammalian reproduction. However, molecular details including the underlying mechanisms of male fertility are still not known. A thorough understanding of these mechanisms is essential for obtaining consistently high reproductive efficiency and to e...

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Autores principales: Peddinti, Divyaswetha, Nanduri, Bindu, Kaya, Abdullah, Feugang, Jean M, Burgess, Shane C, Memili, Erdogan
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2291030/
https://www.ncbi.nlm.nih.gov/pubmed/18294385
http://dx.doi.org/10.1186/1752-0509-2-19
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author Peddinti, Divyaswetha
Nanduri, Bindu
Kaya, Abdullah
Feugang, Jean M
Burgess, Shane C
Memili, Erdogan
author_facet Peddinti, Divyaswetha
Nanduri, Bindu
Kaya, Abdullah
Feugang, Jean M
Burgess, Shane C
Memili, Erdogan
author_sort Peddinti, Divyaswetha
collection PubMed
description BACKGROUND: Male infertility is a major problem for mammalian reproduction. However, molecular details including the underlying mechanisms of male fertility are still not known. A thorough understanding of these mechanisms is essential for obtaining consistently high reproductive efficiency and to ensure lower cost and time-loss by breeder. RESULTS: Using high and low fertility bull spermatozoa, here we employed differential detergent fractionation multidimensional protein identification technology (DDF-Mud PIT) and identified 125 putative biomarkers of fertility. We next used quantitative Systems Biology modeling and canonical protein interaction pathways and networks to show that high fertility spermatozoa differ from low fertility spermatozoa in four main ways. Compared to sperm from low fertility bulls, sperm from high fertility bulls have higher expression of proteins involved in: energy metabolism, cell communication, spermatogenesis, and cell motility. Our data also suggests a hypothesis that low fertility sperm DNA integrity may be compromised because cell cycle: G(2)/M DNA damage checkpoint regulation was most significant signaling pathway identified in low fertility spermatozoa. CONCLUSION: This is the first comprehensive description of the bovine spermatozoa proteome. Comparative proteomic analysis of high fertility and low fertility bulls, in the context of protein interaction networks identified putative molecular markers associated with high fertility phenotype.
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spelling pubmed-22910302008-04-09 Comprehensive proteomic analysis of bovine spermatozoa of varying fertility rates and identification of biomarkers associated with fertility Peddinti, Divyaswetha Nanduri, Bindu Kaya, Abdullah Feugang, Jean M Burgess, Shane C Memili, Erdogan BMC Syst Biol Research Article BACKGROUND: Male infertility is a major problem for mammalian reproduction. However, molecular details including the underlying mechanisms of male fertility are still not known. A thorough understanding of these mechanisms is essential for obtaining consistently high reproductive efficiency and to ensure lower cost and time-loss by breeder. RESULTS: Using high and low fertility bull spermatozoa, here we employed differential detergent fractionation multidimensional protein identification technology (DDF-Mud PIT) and identified 125 putative biomarkers of fertility. We next used quantitative Systems Biology modeling and canonical protein interaction pathways and networks to show that high fertility spermatozoa differ from low fertility spermatozoa in four main ways. Compared to sperm from low fertility bulls, sperm from high fertility bulls have higher expression of proteins involved in: energy metabolism, cell communication, spermatogenesis, and cell motility. Our data also suggests a hypothesis that low fertility sperm DNA integrity may be compromised because cell cycle: G(2)/M DNA damage checkpoint regulation was most significant signaling pathway identified in low fertility spermatozoa. CONCLUSION: This is the first comprehensive description of the bovine spermatozoa proteome. Comparative proteomic analysis of high fertility and low fertility bulls, in the context of protein interaction networks identified putative molecular markers associated with high fertility phenotype. BioMed Central 2008-02-22 /pmc/articles/PMC2291030/ /pubmed/18294385 http://dx.doi.org/10.1186/1752-0509-2-19 Text en Copyright © 2008 Peddinti et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Peddinti, Divyaswetha
Nanduri, Bindu
Kaya, Abdullah
Feugang, Jean M
Burgess, Shane C
Memili, Erdogan
Comprehensive proteomic analysis of bovine spermatozoa of varying fertility rates and identification of biomarkers associated with fertility
title Comprehensive proteomic analysis of bovine spermatozoa of varying fertility rates and identification of biomarkers associated with fertility
title_full Comprehensive proteomic analysis of bovine spermatozoa of varying fertility rates and identification of biomarkers associated with fertility
title_fullStr Comprehensive proteomic analysis of bovine spermatozoa of varying fertility rates and identification of biomarkers associated with fertility
title_full_unstemmed Comprehensive proteomic analysis of bovine spermatozoa of varying fertility rates and identification of biomarkers associated with fertility
title_short Comprehensive proteomic analysis of bovine spermatozoa of varying fertility rates and identification of biomarkers associated with fertility
title_sort comprehensive proteomic analysis of bovine spermatozoa of varying fertility rates and identification of biomarkers associated with fertility
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2291030/
https://www.ncbi.nlm.nih.gov/pubmed/18294385
http://dx.doi.org/10.1186/1752-0509-2-19
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