Author: Gouveia, Duarte; Grenga, Lucia; Gaillard, Jeanâ€Charles; Gallais, Fabrice; Bellanger, Laurent; Pible, Olivier; Armengaud, Jean
Title: Shortlisting SARSâ€CoVâ€2 Peptides for Targeted Studies from Experimental Dataâ€Dependent Acquisition Tandem Mass Spectrometry Data Cord-id: n9j6q3by Document date: 2020_5_27
ID: n9j6q3by
Snippet: Detection of severe acute respiratory syndrome coronavirus 2 (SARSâ€CoVâ€2) is a crucial tool for fighting the COVIDâ€19 pandemic. This dataset brief presents the exploration of a shotgun proteomics dataset acquired on SARSâ€CoVâ€2 infected Vero cells. Proteins from inactivated virus samples were extracted, digested with trypsin, and the resulting peptides were identified by dataâ€dependent acquisition tandem mass spectrometry. The 101 peptides reporting for six viral proteins were specifi
Document: Detection of severe acute respiratory syndrome coronavirus 2 (SARSâ€CoVâ€2) is a crucial tool for fighting the COVIDâ€19 pandemic. This dataset brief presents the exploration of a shotgun proteomics dataset acquired on SARSâ€CoVâ€2 infected Vero cells. Proteins from inactivated virus samples were extracted, digested with trypsin, and the resulting peptides were identified by dataâ€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 massâ€spectrometry method development and diagnostic of the new SARSâ€CoVâ€2 is proposed and the best candidates are commented. This article is protected by copyright. All rights reserved
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