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PXD027959 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleTargeted MS based multi-omic analysis of blood plasma from COVID-19 patients to predict survival
DescriptionMolecular signatures to discriminate patients based on risk of severe disease and mortality from COVID-19 infection are urgently required by the global medical community. Although non-targeted methods are useful for comprehensive ‘omic coverage, targeted MS-based approaches generally provide higher precision, and improved inter-laboratory reproducibility, allowing for more realistic materialization of true biomarkers via validation studies in independent cohorts. We found a relatively small subset of molecular features that can be used to predict the chances of survival of hospitalized COVID-19 patients within the first day of admission, using a robust LC-MRM setup which is already available in many clinical laboratories.
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterClaudia Gaither
SpeciesList scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationListLabel:13C(6)15N(2); Label:13C(6)15N(4)
Instrument6495B Triple Quadrupole LC/MS
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-08-16 20:08:06ID requested
12022-08-18 11:06:38announced
Publication List
Richard VR, Gaither C, Popp R, Chaplygina D, Brzhozovskiy A, Kononikhin A, Mohammed Y, Zahedi RP, Nikolaev EN, Borchers CH, Early Prediction of COVID-19 Patient Survival by Targeted Plasma Multi-Omics and Machine Learning. Mol Cell Proteomics, 21(10):100277(2022) [pubmed]
Keyword List
submitter keyword: COVID-19, SARS COV 2, mass spectrometry, MRM, plasma, proteomics, internal standards
Contact List
Christoph Borchers
contact affiliationSegal Cancer Proteomics Centre, McGill University
contact emailchristoph.borchers@mcgill.ca
lab head
Claudia Gaither
contact affiliationMRM Proteomics Inc.
contact emailcgaither@mrmproteomics.com
dataset submitter
Full Dataset Link List
Panorama Public dataset URI