PXD001194

PXD001194 is an original dataset announced via ProteomeXchange.

Title	PROMIS-Quan: a novel proteomic method for plasma biomarker quantification
Description	Unbiased proteomic analysis of plasma samples holds the promise to reveal clinically invaluable disease biomarkers. However the tremendous dynamic range of the plasma proteome has so far hampered the identification of such low abundant markers. To overcome this challenge we analyzed the plasma microparticle proteome, and reached an unprecedented depth of over 3,000 plasma proteins in single runs. To add a quantitative dimension, we developed PROMIS-Quan – PROteomics of MIcroparticles with Super-SILAC Quantification, a novel mass spectrometry-based technology for plasma microparticle proteome quantification. PROMIS-Quan enables a two-step relative and absolute SILAC quantification. First, plasma microparticle proteomes are quantified relative to a super-SILAC mix composed of cell lines from distinct origins. Next, the absolute amounts of selected proteins of interest are quantified relative to the super-SILAC mix. We applied PROMIS-Quan to prostate cancer and compared plasma microparticle samples of healthy individuals and prostate cancer patients. We identified in total 5,374 plasma-microparticle proteins, and revealed a predictive signature of 3 proteins that were elevated in the patient-derived plasma microparticles. Finally, PROMIS-Quan enabled determination of the absolute quantitative changes in prostate specific antigen (PSA) upon treatment. We propose PROMIS-Quan as an innovative platform for biomarker discovery, validation and quantification in both the biomedical research and in the clinical worlds.
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_04:07:18.403.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Tamar Geiger
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive

Revision	Datetime	Status	ChangeLog Entry
0	2014-08-04 05:09:02	ID requested
1	2015-01-28 01:38:12	announced
2	2015-06-01 06:29:28	announced	Updated publication reference for PubMed record(s): 25624350.
⏵ 3	2024-10-22 04:07:26	announced	2024-10-22: Updated project metadata.

10.1074/mcp.M114.043364;

Harel M, Oren-Giladi P, Kaidar-Person O, Shaked Y, Geiger T, Proteomics of microparticles with SILAC Quantification (PROMIS-Quan): a novel proteomic method for plasma biomarker quantification. Mol Cell Proteomics, 14(4):1127-36(2015) [pubmed]

curator keyword: Technical, Biomedical

submitter keyword: plasma,microparticles, super-SILAC, biomarkers

Tamar Geiger
contact affiliation	Tel Aviv University
contact email	geiger@post.tau.ac.il
lab head
Tamar Geiger
contact affiliation	Weizmann Institute of Science
contact email	geiger@tauex.tau.ac.il
dataset submitter

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/2015/01/PXD001194

PRIDE project URI

• PRIDE
  1. PXD001194
     1. Label: PRIDE project
     2. Name: PROMIS-Quan: a novel proteomic method for plasma biomarker quantification