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PXD074803

PXD074803 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleIdentification and stratification of the human urinary glycopeptides by LC–MS with age/sex-insensitive reference ranges
Descriptionadvances in LC-MS have enabled broad profiling of urinary N-glycopeptides, yet normal demographic variation remains insufficiently defined. This gap complicates biomarker studies, as physiological differences can be mistaken for disease signals. This study aimed to characterize age and sex effects on intact urinary N-glycopeptides in healthy adults and construct a demographic reference resource suitable for biomarker development. Methods: Urinary N-glycopeptides from 108 healthy adults (aged 20 to 60 years) were profiled using a standardized LC MS workflow following hydrophilic interaction liquid chromatography enrichment. Intact N glycopeptides were quantified at the protein, site, glycan, and peptide levels. Covariate-adjusted principal component analysis and change point detection were applied to characterize demographic structure. Glycopeptides not associated with age or sex were identified and used to construct a demographic reference set with defined quantitative ranges.
HostingRepositoryiProX
AnnounceDate2026-02-12
AnnouncementXMLSubmission_2026-08-13_20:06:41.654.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterJiayu Liu
SpeciesList scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02026-02-24 17:00:43ID requested
12026-08-13 20:06:42announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: N-glycopeptides, Urine Glycosylation, age-insensitive, sex-insensitive, LC-MS, proteomics
Contact List
Mianyang Li
contact affiliationChinese PLA General Hospital
contact emaillimianyang301@163.com
lab head
Jiayu Liu
contact affiliationChinese PLA General Hospital
contact emailshelly_7@126.com
dataset submitter
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