Shortlisting SARS‐CoV‐2 Peptides for Targeted Studies from Experimental Data‐Dependent Acquisition Tandem Mass Spectrometry Data
Abstract: Detection of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) is a crucial tool for fighting the COVID‐19 pandemic. This dataset brief presents the exploration of a shotgun proteomics dataset acquired on SARS‐CoV‐2 infected Vero cells. Proteins from inactivated virus samples were extracted, digested with trypsin, and the resulting peptides were identified by data‐dependent acquisition tandem mass spectrometry. The 101 peptides reporting for six viral proteins were specifically analyzed in terms of their analytical characteristics, species specificity and conservation, and their proneness to structural modifications. Based on these results, a shortlist of 14 peptides from the N, S, and M main structural proteins that could be used for targeted mass‐spectrometry method development and diagnostic of the new SARS‐CoV‐2 is proposed and the best candidates are commented.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Shortlisting SARS‐CoV‐2 Peptides for Targeted Studies from Experimental Data‐Dependent Acquisition Tandem Mass Spectrometry Data ; volume:20 ; number:14 ; year:2020 ; extent:7
Proteomics ; 20, Heft 14 (2020) (gesamt 7)
- Creator
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Gouveia, Duarte
Grenga, Lucia
Gaillard, Jean‐Charles
Gallais, Fabrice
Bellanger, Laurent
Pible, Olivier
Armengaud, Jean
- DOI
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10.1002/pmic.202000107
- URN
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urn:nbn:de:101:1-2022061708183958364124
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:28 AM CEST
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Associated
- Gouveia, Duarte
- Grenga, Lucia
- Gaillard, Jean‐Charles
- Gallais, Fabrice
- Bellanger, Laurent
- Pible, Olivier
- Armengaud, Jean
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