Evidence map›Paper›PMID 39564716›Full record

ArticleAnimal biotechnology2024

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

Vanya Bhushan, Syed Azmal Ali, Abhishek Parashar, Sudarshan Kumar, Ashok Kumar Mohanty

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Article in Animal biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Vanya BhushanProteomics and Structural Biology Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, India.
Syed Azmal AliProteomics and Structural Biology Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, India.
Abhishek ParasharProteomics and Structural Biology Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, India.
Sudarshan KumarProteomics and Structural Biology Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, India.
Ashok Kumar MohantyProteomics and Structural Biology Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

ProteomeSpermatozoaAnimalsCattleComputer SimulationMaleMass SpectrometryProteomicsProteomecell organellegene ontologyKEGGMaxQuantquantitative proteomicsSpermatozoa

Identifiers

PMID39564716
PMCPMC12674427

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