PXD013949

PXD013949 is an original dataset announced via ProteomeXchange.

Title	Comprehensive analysis of individual variation in the urinary proteome revealed significant gender differences
Description	To elucidate the individual variation and related factors influencing the urinary proteome, we comprehensively analyzed the urine samples from healthy adult donors (aged 20-69 years). Co-expression network analysis revealed protein clusters representing the metabolic status, gender-related differences and agerelated differences in urinary proteins. In particular, we demonstrated that gender is a crucial factor contributing to individual variation. Proteins that were increased in the male urine samples include prostate-secreted proteins and TIMP1, a protein whose abundance alters under various cancers and renal diseases; however, the proteins that were increased in the female urine samples have known functions in the immune system. Nine gender-related proteins were validated on 85 independent samples by multiple reaction monitoring. Five of these proteins were further used to build a model that could accurately distinguish male and female urine samples with an area under curve value of 0.94. Based on the above results, we strongly suggest that future biomarker investigations should consider gender as a crucial factor in experimental design and data analysis. Finally, reference intervals of each urinary protein were estimated, providing a baseline for the discovery of abnormalities.
HostingRepository	iProX
AnnounceDate	2019-05-21
AnnouncementXML	Submission_2019-05-21_01:38:39.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Wei Sun
SpeciesList	scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	QTRAP 6500+; TripleTOF 5600

Revision	Datetime	Status	ChangeLog Entry
0	2019-05-21 01:36:11	ID requested
⏵ 1	2019-05-21 01:38:41	announced

Shao C, Zhao M, Chen X, Sun H, Yang Y, Xiao X, Guo Z, Liu X, Lv Y, Chen X, Sun W, Wu D, Gao Y, Comprehensive Analysis of Individual Variation in the Urinary Proteome Revealed Significant Gender Differences. Mol Cell Proteomics, 18(6):1110-1122(2019) [pubmed]

submitter keyword: inter-individual variation, urinary proteome, gender difference, 2DLC/MS/MS

Wei Sun
contact affiliation	Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College
contact email	sunwei1018@sina.com
lab head
Wei Sun
contact affiliation	Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College
contact email	sunwei1018@sina.com
dataset submitter

iProX dataset URI