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PXD031401 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleCov²MS: an automated matrix-independent assay for mass spectrometric detection and measurement of SARS-CoV-2 nucleocapsid protein
DescriptionIntroduction. The pandemic readiness toolbox needs to be extended, providing diagnostic tools that target different biomolecules, using orthogonal experimental setups and fit-for-purpose specification of detection. Here, we build on a previous Cov-MS effort to use liquid chromatography coupled to mass spectrometry (LC-MS) and describe a method developed to allow accurate, high throughput measurement of SARS-CoV-2 nucleocapsid (NCAP) protein. Methods. We use Stable Isotope Standards and Capture by Anti-Peptide Antibodies (SISCAPA) technology to enrich and quantify proteotypic peptides of the NCAP protein from trypsin-digested samples from COVID-19 patients. Results. This makes the Cov²MS assay compatible with most matrices including nasopharyngeal swabs, saliva and blood plasma, while increasing the sensitivity into the attomole range, up to a 1000-fold increase compared to direct detection in matrix. In addition, there is a strong positive correlation between the SISCAPA antigen assay and qPCR detection up to a quantification cycle (Cq) of 30. The automatable “addition only” sample preparation and digestion protocol, the peptide enrichment and the reduced dependency upon LC together allow analysis of up to 500 samples per day per MS instrument. Importantly, peptide enrichment allowed detection of NCAP protein in a pooled sample containing a single PCR positive patient mixed with 31 PCR negative samples, without loss in sensitivity. We also propose novel target peptides for Influenza A and B. Conclusion. Since the Cov²MS assay is insensitive to matrix or pooling and easily multiplexed, it can be used to test for many different pathogens and could provide longitudinal epidemiological monitoring of large numbers of pathogens within a population, applied as an early warning system.
ReviewLevelNon peer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportsupported by repository but incomplete data and/or metadata
PrimarySubmitterBart Van Puyvelde
SpeciesList scientific name: Severe acute respiratory syndrome coronavirus 2; NCBI TaxID: 2697049;
ModificationListLabel:15N(1); Label:15N(4); Label:15N(2)
InstrumentXevo TQ-XS; TripleTOF 6600
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-02-02 22:16:37ID requested
12022-02-02 22:35:16announced
Publication List
no publication
Keyword List
submitter keyword: SARS-CoV-2, Covid-19, Mass Spectrometry, Proteomics, Viral proteins, Peptides, Diagnostics
Contact List
Maarten Dhaenens
contact affiliationProGenTomics, Laboratory of Pharmaceutical Biotechnology, Ghent University
contact emailmaarten.dhaenens@ugent.be
lab head
Bart Van Puyvelde
contact affiliationProGenTomics, Laboratory of Pharmaceutical Biotechnology, Ghent University
contact emailbart.vanpuyvelde@ugent.be
dataset submitter
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