Mapping the proteome landscape of Indian Zebu (Sahiwal) spermatozoa using high-resolution mass spectrometry and in-silico annotation

Proteomic analysis of sperm cells offers significant insights into proteins’ structural, functional, and localization aspects within biological systems. Sahiwal, a native Indian cattle breed, is well known for its disease resistance, calving ease, and resilience to drought. This study addressed the...

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Main Authors: Vanya Bhushan, Syed Azmal Ali, Abhishek Parashar, Sudarshan Kumar, Ashok Kumar Mohanty
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Animal Biotechnology
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Online Access:https://www.tandfonline.com/doi/10.1080/10495398.2024.2428402
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author Vanya Bhushan
Syed Azmal Ali
Abhishek Parashar
Sudarshan Kumar
Ashok Kumar Mohanty
author_facet Vanya Bhushan
Syed Azmal Ali
Abhishek Parashar
Sudarshan Kumar
Ashok Kumar Mohanty
author_sort Vanya Bhushan
collection DOAJ
description Proteomic analysis of sperm cells offers significant insights into proteins’ structural, functional, and localization aspects within biological systems. Sahiwal, a native Indian cattle breed, is well known for its disease resistance, calving ease, and resilience to drought. This study addressed the gap in Sahiwal’s comprehensive sperm proteome profiling data. The research involved the global in-silico quantitative high-resolution mass spectrometry-based protein profiling of Indian Zebu sperm, identifying 4651 sperm proteins. Beyond mere identification, the study characterized these proteins at a sub-organellar level to facilitate a better understanding of their functional attributes. Gene Ontology analysis of sperm proteins facilitated the segregation of proteins based on their function, localization, and mode of action. The study revealed that despite the limited number of organelles, sperm cells encapsulate a wide array of crucial proteins, compensating for the deficiency of organelles through the presence of multifunctional proteins. Most identified sperm proteins actively participate in spermatogenesis, motility, acrosome reaction, capacitation, and seminal plasma binding, directly or indirectly. Notably, the results not only present the highest number of identified bovine sperm proteins but also hold the potential to pave the way for empirical research on sperm functionality, egg-sperm interaction, sperm-sex sorting biomarkers, sperm quality, and bull fertility.
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series Animal Biotechnology
spelling doaj-art-c9652cbcaf1143018af2d3b4adf5ecc62024-12-31T18:28:13ZengTaylor & Francis GroupAnimal Biotechnology1049-53981532-23782024-12-0135110.1080/10495398.2024.2428402Mapping the proteome landscape of Indian Zebu (Sahiwal) spermatozoa using high-resolution mass spectrometry and in-silico annotationVanya Bhushan0Syed Azmal Ali1Abhishek Parashar2Sudarshan Kumar3Ashok Kumar Mohanty4Proteomics and Structural Biology Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, IndiaProteomics and Structural Biology Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, IndiaProteomics and Structural Biology Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, IndiaProteomics and Structural Biology Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, IndiaProteomics and Structural Biology Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, IndiaProteomic analysis of sperm cells offers significant insights into proteins’ structural, functional, and localization aspects within biological systems. Sahiwal, a native Indian cattle breed, is well known for its disease resistance, calving ease, and resilience to drought. This study addressed the gap in Sahiwal’s comprehensive sperm proteome profiling data. The research involved the global in-silico quantitative high-resolution mass spectrometry-based protein profiling of Indian Zebu sperm, identifying 4651 sperm proteins. Beyond mere identification, the study characterized these proteins at a sub-organellar level to facilitate a better understanding of their functional attributes. Gene Ontology analysis of sperm proteins facilitated the segregation of proteins based on their function, localization, and mode of action. The study revealed that despite the limited number of organelles, sperm cells encapsulate a wide array of crucial proteins, compensating for the deficiency of organelles through the presence of multifunctional proteins. Most identified sperm proteins actively participate in spermatogenesis, motility, acrosome reaction, capacitation, and seminal plasma binding, directly or indirectly. Notably, the results not only present the highest number of identified bovine sperm proteins but also hold the potential to pave the way for empirical research on sperm functionality, egg-sperm interaction, sperm-sex sorting biomarkers, sperm quality, and bull fertility.https://www.tandfonline.com/doi/10.1080/10495398.2024.2428402Spermatozoaquantitative proteomicsMaxQuantKEGGgene ontologycell organelle
spellingShingle Vanya Bhushan
Syed Azmal Ali
Abhishek Parashar
Sudarshan Kumar
Ashok Kumar Mohanty
Mapping the proteome landscape of Indian Zebu (Sahiwal) spermatozoa using high-resolution mass spectrometry and in-silico annotation
Animal Biotechnology
Spermatozoa
quantitative proteomics
MaxQuant
KEGG
gene ontology
cell organelle
title Mapping the proteome landscape of Indian Zebu (Sahiwal) spermatozoa using high-resolution mass spectrometry and in-silico annotation
title_full Mapping the proteome landscape of Indian Zebu (Sahiwal) spermatozoa using high-resolution mass spectrometry and in-silico annotation
title_fullStr Mapping the proteome landscape of Indian Zebu (Sahiwal) spermatozoa using high-resolution mass spectrometry and in-silico annotation
title_full_unstemmed Mapping the proteome landscape of Indian Zebu (Sahiwal) spermatozoa using high-resolution mass spectrometry and in-silico annotation
title_short Mapping the proteome landscape of Indian Zebu (Sahiwal) spermatozoa using high-resolution mass spectrometry and in-silico annotation
title_sort mapping the proteome landscape of indian zebu sahiwal spermatozoa using high resolution mass spectrometry and in silico annotation
topic Spermatozoa
quantitative proteomics
MaxQuant
KEGG
gene ontology
cell organelle
url https://www.tandfonline.com/doi/10.1080/10495398.2024.2428402
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