Evidence map›Paper›PMID 40877368›Full record

ArticleScientific data2025

A Comprehensive Mass Spectrometry-Based Proteomic Dataset of Human Spermatozoa.

Ran Kong, Kaixian Yan, Defeng Liu, Wenying Wu

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ran Kong *Institute of Advanced Clinical Medicine, Institute of Medical Technology, Peking University Health Science Center, Beijing, China.ORCID 0000-0001-8309-2198
Kaixian Yan *Institute of Advanced Clinical Medicine, Institute of Medical Technology, Peking University Health Science Center, Beijing, China.
Defeng LiuCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China. liudefeng@bjmu.edu.cn.
Wenying WuInstitute of Advanced Clinical Medicine, Institute of Medical Technology, Peking University Health Science Center, Beijing, China. sypu_wuwenying@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ProteomeProteomicsSpermatozoaHumansInfertility, MaleMaleMass SpectrometryTandem Mass SpectrometryProteome

Identifiers

PMID40877368
PMCPMC12394440

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.