PXD050216 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Characterization of Protein Precipitation Methods of Clinical Samples for Simple and Low-Cost Methods to Enhance the Depth and Breadth of Plasma Proteomics |
Description | Plasma is an abundant source of proteins and potential biomarkers to aid in the detection, diagnosis, and prognosis of human diseases. However, these proteins are often present at low levels in the blood and difficult to consistently identify and measure. Quantifying more than a few hundred proteins in neat plasma is difficult due to the large dynamic range, and as much as ~99% of its mass is derived from only ~20 proteins. Abundant protein precipitation with perchloric acid (PerCA) is a high-throughput approach to increase protein identifications and depth of plasma proteomic studies. The goal of this work was to characterize and compare various protein precipitation methods related to plasma proteomic depth and breadth. Three acid-based and four solvent-based precipitation methods were evaluated by mass spectrometry. All methods tested provided excellent plasma proteomic coverage (>600 identified protein groups) and detected protein in the low pg/ml range. Functional enrichment analysis revealed subtle differences within and larger changes between the precipitant groups; acid-based methods enriched for plasma membrane proteins, while solvent-based approaches enriched for lipoprotein particle proteins. Methanol-based precipitation outperformed the other methods based on identifications and reproducibility. The performance of these methods was verified using eight lung cancer patient samples, where >700 protein groups were measured and proteins with an estimated plasma concentration of around 10 pg/ml were detected. In conclusion, a variety of protein precipitation agents are amenable to extending the depth and breadth of plasma proteomes, however, the composition of proteins between agents does vary. These data can guide investigators to implement inexpensive, high-throughput methods for their plasma proteomic workflows. |
HostingRepository | PRIDE |
AnnounceDate | 2025-05-29 |
AnnouncementXML | Submission_2025-05-29_05:27:13.049.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Shawn Rice |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | timsTOF fleX |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-02-28 08:24:55 | ID requested | |
⏵ 1 | 2025-05-29 05:27:13 | announced | |
Publication List
Dataset with its publication pending |
Keyword List
submitter keyword: Plasma, Depletion, Perchloric acid, methanol, Proteomics |
Contact List
Chandra P. Belani |
contact affiliation | Penn State College of Medicine, Department of Medicine, Penn State Cancer Institute. |
contact email | cbelani@pennstatehealth.psu.edu |
lab head | |
Shawn Rice |
contact affiliation | Penn State College of Medicine |
contact email | srice@pennstatehealth.psu.edu |
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/2025/05/PXD050216 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD050216
- Label: PRIDE project
- Name: Characterization of Protein Precipitation Methods of Clinical Samples for Simple and Low-Cost Methods to Enhance the Depth and Breadth of Plasma Proteomics