A Comprehensive Mass Spectrometry-Based Proteomic Dataset of Human Spermatozoa

Area of Science:

• Proteomics
• Reproductive Biology
• Molecular Biology

Background:

• Male infertility involves germ cell defects and molecular dysregulation, with underlying mechanisms poorly understood.
• Discovery proteomics, particularly data-independent acquisition (DIA), offers high precision for identifying biomarkers and pathways.
• Understanding human sperm proteome is crucial for male reproductive health.

Purpose of the Study:

• To construct a comprehensive human sperm proteomic expression profile using DIA.
• To identify aberrant regulatory events in sperm proteins linked to male reproductive disorders.
• To provide a valuable resource for male reproduction research.

Main Methods:

• Employed Orbitrap Astral mass spectrometry with independent Orbitrap Full Scan and Astral MS/MS.
• Utilized data-independent acquisition (DIA) principles for high-throughput analysis.
• Analyzed two types of human sperm samples for disease-specific protein exploration.

Main Results:

• Generated the most comprehensive human sperm proteomic profile to date, identifying 9,309 proteins.
• Cataloged 198,153 unique precursors, 154,062 modified peptides, and 145,355 peptides.
• Established a high-resolution, reproducible dataset for male reproductive disorder research.

Conclusions:

• The comprehensive sperm proteomic dataset is a valuable resource for male reproduction research.
• Facilitates deeper insights into the molecular basis of male infertility.
• Supports the discovery of novel biomarkers and therapeutic targets for male reproductive disorders.