⮝ Full datasets listing
PXD067268
PXD067268 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Urinary extracellular protein signatures associated with albuminuria and their modulation by treatment in early diabetic kidney disease |
| Description | Urinary extracellular vesicles were isolated before and after treatment from 22 patients with diabetes and albuminuria who participated in a crossover trial with telmisartan, empagliflozin, linagliptin, and baricitinib. Quantitative proteomics was performed using TMT-based labeling. See the paper for the detailed labeling strategy. |
| HostingRepository | MassIVE |
| AnnounceDate | 2026-05-21 |
| AnnouncementXML | Submission_2026-05-21_05:50:34.544.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Non peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Qi Wu |
| SpeciesList | scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; |
| ModificationList | TMTpro |
| Instrument | Orbitrap Ascend |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2025-08-12 08:55:42 | ID requested | |
| ⏵ 1 | 2026-05-21 05:50:35 | announced |
Publication List
| no publication |
Keyword List
| submitter keyword: urinary extracellular vesicles, quantitative proteomics, diabetic kidney disease, DatasetType:Proteomics |
Contact List
| Qi Wu | |
|---|---|
| contact affiliation | Department of Biomedicine, Aarhus University |
| contact email | qi.wu@biomed.au.dk |
| lab head | |
| Qi Wu | |
| contact affiliation | Aarhus University |
| contact email | qi.wu@biomed.au.dk |
| dataset submitter | |
Full Dataset Link List
| MassIVE dataset URI |
| Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://massive-ftp.ucsd.edu/v10/MSV000098807/ |
