PXD051799 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Kidney disease proteome research |
Description | The study included 75 participants, among whom 51 patients were diagnosed with kidney diseases: Calculus of kidney (N20.0, URCD) and Cyst of kidney (N28.1, ACDK), Malignant neoplasm of kidney, except renal pelvis (ะก64, RNCL) and 24 conditionally healthy participants (CNTR). |
HostingRepository | PRIDE |
AnnounceDate | 2025-01-07 |
AnnouncementXML | Submission_2025-01-07_11:43:11.263.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Anna Kaysheva |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | phosphorylated residue |
Instrument | Xevo G2 Q-Tof |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-04-27 10:06:30 | ID requested | |
⏵ 1 | 2025-01-07 11:43:11 | announced | |
Publication List
Keyword List
submitter keyword: kidney diseases, protein analysis, tandem mass spectrometry, plasma, kidney cancer, protein phosphorylation,human |
Contact List
Anna Kaysheva |
contact affiliation | Lab of Structural Proteomics, Institute of Biomedical Chemistry |
contact email | kaysheva1@gmail.com |
lab head | |
Anna Kaysheva |
contact affiliation | Institute of Biomedical Chemistry |
contact email | kaysheva1@gmail.com |
dataset submitter | |
Full Dataset Link List
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://ftp.pride.ebi.ac.uk/pride/data/archive/2025/01/PXD051799 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD051799
- Label: PRIDE project
- Name: Kidney disease proteome research