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PXD021388

PXD021388 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleDetection of SARS-CoV-2 in nasal swabs using MALDI-MS
DescriptionDetection of SARS-CoV-2 using RT–PCR and other advanced methods can achieve high accuracy. However, their application is limited in countries that lack sufficient resources to handle large-scale testing during the COVID-19 pandemic. Here, we describe a method to detect SARS-CoV-2 in nasal swabs using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) and machine learning analysis. This approach uses equipment and expertise commonly found in clinical laboratories in developing countries. We obtained mass spectra from a total of 362 samples (211 SARS-CoV-2-positive and 151 negative by RT–PCR) without prior sample preparation from three different laboratories. We tested two feature selection methods and six machine learning approaches to identify the top performing analysis approaches and determine the accuracy of SARS-CoV-2 detection. The support vector machine model provided the highest accuracy (93.9%), with 7% false positives and 5% false negatives. Our results suggest that MALDI-MS and machine learning analysis can be used to reliably detect SARS-CoV-2 in nasal swab samples.
HostingRepositoryPRIDE
AnnounceDate2020-09-11
AnnouncementXMLSubmission_2020-09-10_22:20:35.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterLeonardo Santos
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
Instrumentautoflex; microflex
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-09-09 23:02:05ID requested
12020-09-10 22:20:35announced
Publication List
Nachtigall FM, Pereira A, Trofymchuk OS, Santos LS, Detection of SARS-CoV-2 in nasal swabs using MALDI-MS. Nat Biotechnol, 38(10):1168-1173(2020) [pubmed]
Keyword List
ProteomeXchange project tag: Sars-cov-2, Covid-19
submitter keyword: SARS-Cov-2, COVID-19, MALDI-MS, Human
Contact List
L. S. Santos
contact affiliationInstituto de Química de Recursos Naturales, Universidad de Talca, Talca, Chile
contact emaillssantos@utalca.cl
lab head
Leonardo Santos
contact affiliationUniversidad de Talca
contact emaillsiltos@yahoo.com
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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