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PXD025138

PXD025138 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitlePrognostic accuracy of MALDI-TOF mass spectrometric analysis of plasma in COVID-19
DescriptionSARS-CoV-2 infection poses a global health crisis. In parallel with the ongoing world effort to identify therapeutic solutions, there is a critical need for improvement in the prognosis of COVID-19. Here, we report plasma proteome finger print that predict high (hospitalized)and low risk(outpatients) cases of COVID-19 identified by a platform that combines machine learning with matrix-assisted laser desorption ionization mass spectrometry (MALDI-TOF MS) analysis. Sample preparation, MS and data analysis parameters were optimized to achieve an overall accuracy of 92%, sensitivity of 93%, and specificity of 92% in dataset without feature selection. Further on, we identified two distinct regions in the MALDI-TOF profile belonging to the same proteoforms. Unbiased discrimination of high and low-risk COVID-19patients employing a technology that is currently in clinical use may have a prompt application in the noninvasive prognosis of COVID-19. Further validation will consolidate its clinical utility.
HostingRepositoryPRIDE
AnnounceDate2021-06-22
AnnouncementXMLSubmission_2021-06-21_22:38:55.477.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterGiuseppe Palmisano
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
Instrumentultraflex
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-04-01 02:26:32ID requested
12021-06-21 22:38:55announced
Publication List
Dataset with its publication pending
Keyword List
ProteomeXchange project tag: Covid-19
submitter keyword: COVID-19, SARS-CoV-2, Mass spectrometry, Biomarker, Plasma, Prognosis
Contact List
Giuseppe Palmisano
contact affiliationGlycoProteomics Laboratory, Avenida Lineu Prestes 1374, sala 9, Butanta, Sao Paulo, SP, Brazil
contact emailpalmisano.gp@gmail.com
lab head
Giuseppe Palmisano
contact affiliationUniversity of Sao Paulo
contact emailpalmisano.gp@gmail.com
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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