MassIVE MSV000080264

Imported Reanalysis Dataset Public PXD003298

Proteomic Analysis of Urinary Extracellular Vesicles

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Description

Novel therapies in autosomal dominant polycystic kidney disease (ADPKD) signal the need for markers of disease progression or response to therapy. This study aimed to identify disease-associated proteins in urinary extracellular vesicles (uEVs), which include exosomes, in patients with ADPKD. We performed quantitative proteomics on uEVs using a labeled approach (healthy vs. ADPKD) and then using a label-free approach in different subjects (healthy vs. ADPKD vs. non-ADPKD chronic kidney disease [CKD]). In both experiments, thirty proteins were consistently more abundant (? 2-fold) in ADPKD-uEVs compared with healthy and CKD uEVs. Of these proteins, periplakin, envoplakin, villin-1, complement C3 and C9 were selected for confirmation, because (1) they were also significantly overrepresented in pathway analysis, and (2) they have been previously implicated in the pathogenesis of ADPKD. Immunoblotting was used to validate the proteomics results, confirming higher abundances of the selected proteins in ADPKD-uEVs in three independent groups of ADPKD-patients. While villin-1, periplakin and envoplakin were more abundant in advanced stages of the disease, complement was already higher in uEVs of young ADPKD patients with preserved renal function. Furthermore, all five proteins correlated positively with height adjusted total kidney volume. The proteins of interest were also analyzed in kidney tissues from kidney-specific-tamoxifen-inducible Pkd1-deletion mice, demonstrating higher expression in more severe stages of the disease. In summary, proteomic analysis of uEVs identified plakins and complement as disease-associated proteins in ADPKD. These proteins are new candidates for evaluation as biomarkers or targets for therapy in ADPKD. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: urinary exosomes ; ADPKD ; AD ; kidney ; dimethyl quantitation

Contact

Principal Investigators:
(in alphabetical order) 		Dr Jeroen Demmers
Submitting User: ccms

Publications

Salih M, Demmers JA, Bezstarosti K, Leonhard WN, Losekoot M, van Kooten C, Gansevoort RT, Peters DJ, Zietse R, Hoorn EJ, DIPAK Consortium.
Proteomics of Urinary Vesicles Links Plakins and Complement to Polycystic Kidney Disease.
J Am Soc Nephrol. 2016 Oct;27(10):3079-3092. Epub 2016 Mar 3.

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Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.