PXD013710 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Proteomic analysis of urinary microvesicles reveal biomarkers for neurologic disease |
Description | Background- Extracellular vesicles (EVs) harbor thousands of proteins that hold promise for biomarker development. Usually difficult to purify, EVs in urine are relatively easily obtained and have demonstrated efficacy for kidney disease prediction. Herein, we further characterize the proteome of urinary EVs to explore the potential for biomarkers unrelated to kidney dysfunction, focusing on Parkinson’s disease (PD). Methods- Using a quantitative mass spectrometry approach, we measured urinary EV proteins from a discovery cohort of 50 subjects. EVs in urine were classified into subgroups and EV proteins were ranked by abundance and variability over time. Enriched pathways and ontologies in stable EV proteins were identified and proteins that predict PD were further measured in a cohort of 108 subjects. Findings- Hundreds of commonly expressed urinary EV proteins with stable expression over time were distinguished from proteins expressed in few individual with high variability over time. Bioinformatic analyses reveal a striking enrichment of endolysosomal proteins linked to Parkinson’s, Alzheimer’s, Huntington’s disease, and other neurologic disorders. Tissue and biofluid enrichment analyses show broad representation of EVs from across the body without bias towards kidney or urine proteins. Among the proteins linked to neurological diseases, SNAP23 and calbindin were the most elevated in PD cases with 86% prediction success for disease diagnosis in the discovery cohort and 76% prediction success in the replication cohort. |
HostingRepository | PRIDE |
AnnounceDate | 2019-11-12 |
AnnouncementXML | Submission_2019-11-11_16:51:05.xml |
DigitalObjectIdentifier | https://dx.doi.org/10.6019/PXD013710 |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Supported dataset by repository |
PrimarySubmitter | james mobley |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | Oxidation; Carbamidomethyl |
Instrument | LTQ |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2019-05-03 05:05:42 | ID requested | |
⏵ 1 | 2019-11-11 16:51:06 | announced | |
Publication List
Wang S, Kojima K, Mobley JA, West AB, Proteomic analysis of urinary extracellular vesicles reveal biomarkers for neurologic disease. EBioMedicine, 45():351-361(2019) [pubmed] |
Keyword List
submitter keyword: Biomarkers |
Neurodegeneration |
Exosomes |
Parkinson's disease |
Alzheimer's disease |
Contact List
James A. Mobley |
contact affiliation | Director of the UAB CCC Mass Spectrometry Shared Facility |
contact email | mobleyja@uab.edu |
lab head | |
james mobley |
contact affiliation | University of Alabama at Birmingham |
contact email | mobleyja@uab.edu |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD013710
- Label: PRIDE project
- Name: Proteomic analysis of urinary microvesicles reveal biomarkers for neurologic disease