A Comprehensive Mass Spectrometry-Based Proteomic Dataset of Human Spermatozoa

Male infertility is fundamentally rooted in developmental defects of germ cells and associated molecular dysregulation, yet the underlying mechanisms remain poorly understood. Data-independent acquisition (DIA) has emerged as a powerful tool in discovery proteomics, enabling the identification of disease biomarkers, therapeutic targets, and molecular pathways with high precision and reproducibility. To analyse the aberrant regulatory events in human sperm proteins associated with male reproductive disorders in a high-throughput, reproducible, and reliable manner, we employed the Orbitrap Astral mass spectrometer, which independently operates Orbitrap Full Scan and Astral MS/MS to generate high-resolution full-scan spectra and high-quality secondary maps. Leveraging the principles of DIA technology, we constructed the most comprehensive human sperm proteomic expression profile reported to date, encompassing 9,309 proteins, 198,153 unique precursors, 154,062 modified peptides, and 145,355 peptides. Moreover, this data is derived from two types of sperm samples to facilitate the exploration of disease-specific proteins. Our data serve as a valuable resource for analysing spermatozoa protein content, facilitating deeper insights into male reproduction.

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Publication Details

Journal
Scientific Data
Published
2025-08-28
DOI
https://doi.org/10.1038/s41597-025-05824-w
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

A Comprehensive Mass Spectrometry-Based Proteomic Dataset of Human Spermatozoa

Kexiang Yan, Defeng Liu, Wenying Wu
Scientific Data
Advanced Proteomics Techniques and Applications
article

A Comprehensive Mass Spectrometry-Based Proteomic Dataset of Human Spermatozoa

Kexiang Yan, Defeng Liu, Wenying Wu
article en

Abstract

Male infertility is fundamentally rooted in developmental defects of germ cells and associated molecular dysregulation, yet the underlying mechanisms remain poorly understood. Data-independent acquisition (DIA) has emerged as a powerful tool in discovery proteomics, enabling the identification of disease biomarkers, therapeutic targets, and molecular pathways with high precision and reproducibility. To analyse the aberrant regulatory events in human sperm proteins associated with male reproductive disorders in a high-throughput, reproducible, and reliable manner, we employed the Orbitrap Astral mass spectrometer, which independently operates Orbitrap Full Scan and Astral MS/MS to generate high-resolution full-scan spectra and high-quality secondary maps. Leveraging the principles of DIA technology, we constructed the most comprehensive human sperm proteomic expression profile reported to date, encompassing 9,309 proteins, 198,153 unique precursors, 154,062 modified peptides, and 145,355 peptides. Moreover, this data is derived from two types of sperm samples to facilitate the exploration of disease-specific proteins. Our data serve as a valuable resource for analysing spermatozoa protein content, facilitating deeper insights into male reproduction.

Scientific DataVol. 12(1)
Peking University (CN), Peking University Third Hospital (CN)
Peking University
Zero hunger
Openalex Percentile: Top 80%
Advanced Proteomics Techniques and Applications
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