PXD043925 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Urine-HILIC – An automated sample preparation for bottom-up urinary proteome profiling in clinical proteomics |
Description | Urine provides a diverse source of information related to health status and is ideal for clinical proteomics because of its ease of collection. To date, there is no standard operating procedure for reproducible and robust urine sample processing for mass spectrometry-based clinical proteomics. To address this need, a novel workflow was developed based on an on-bead protein capture, clean up, and digestion without the requirement from pre-processing steps such as precipitation. The workflow was applied to an acute kidney injury (AKI) pilot study. Urine from clinical samples and a pooled sample were subjected to automated sample preparation in a KingFisher™ Flex magnetic handling station using a novel urine-HILIC (uHLC) approach based on MagReSyn® HILIC microspheres. For benchmarking, the pooled sample was also prepared using a published protocol based on an on-membrane (OM) protein capture and digestion workflow. Peptides were analysed by LCMS in DIA mode using a Dionex Ultimate 3000 UPLC coupled to a Sciex 5600 mass spectrometer. Data was searched in Spectronaut™ 17. Following statistical analysis, candidate protein markers were filtered at ≥ 2-fold change in abundance, ≥ 2 uniques peptides and ≤ 1% false discovery rate. Both workflows showed similar peptide and protein identifications in the pooled sample. The uHLC workflow was easier to set up and complete, having less hands-on time than the OM method. With fewer manuel processiing steps, a lower peptide and protein CV was observed in the uHLC technical replicates. Analysis of clinical samples revealed many significant, differentially abundant kidney injury-associated urinary proteins. The pilot data derived using this novel workflow provides information on the urinary proteome of patients with AKI. Further exploration in a larger cohort using this novel high-throughput method is warranted. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-22 |
AnnouncementXML | Submission_2024-10-22_06:27:33.986.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Previn Naicker |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | iodoacetamide derivatized residue |
Instrument | TripleTOF 5600 |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2023-07-19 14:05:07 | ID requested | |
1 | 2024-01-26 10:32:56 | announced | |
⏵ 2 | 2024-10-22 06:27:34 | announced | 2024-10-22: Updated project metadata. |
Publication List
Govender IS, Mokoena R, Stoychev S, Naicker P, Urine-HILIC: Automated Sample Preparation for Bottom-Up Urinary Proteome Profiling in Clinical Proteomics. Proteomes, 11(4):(2023) [pubmed] |
10.3390/proteomes11040029; |
Keyword List
submitter keyword: automated sample preparation |
clinical proteomics |
SWATH-MS (DIA) |
urinary proteomics |
HILIC |
Contact List
Previn Naicker |
contact affiliation | NextGen Health, CSIR, South Africa |
contact email | pnaicker1@csir.co.za |
lab head | |
Previn Naicker |
contact affiliation | Council for Scientific and Industrial Research |
contact email | pnaicker1@csir.co.za |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD043925
- Label: PRIDE project
- Name: Urine-HILIC – An automated sample preparation for bottom-up urinary proteome profiling in clinical proteomics