A 'short list' of signature peptides for tracking down SARS-CoV-2 virus

SPI researchers (Marcoule) used proteomics to identify signature peptides of the SARS-CoV-2 virus expressed in vitro. A "short list" of 14 identified and characterized peptides allows to consider developments in targeted mass spectrometry, making this direct and rapid large-scale approach, implantable in hospitals, a potential tool of choice in the detection of the virus responsible for Covid-19.

A
Scheme representing the S (spike), M (membrane protein) and N (nucleoprotein) main structural proteins of SARS-CoV-2, from which 14 peptides have been identified and characterized. Image Credit: Jean Armengaud/CEA

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.

Source:
Journal reference:

Gouveia, D., et al. (2020) Shortlisting SARS‐CoV‐2 Peptides for Targeted Studies from Experimental Data‐Dependent Acquisition Tandem Mass Spectrometry Data. Proteomicsdoi.org/10.1002/pmic.202000107.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Engineered virus-like particles evolve for superior gene delivery efficiency