Shotgun proteomics analysis of SARS-CoV-2-infected cells and how it can optimize whole viral particle antigen production for vaccines.
Lucia GrengaFabrice GallaisOlivier PibleJean-Charles GaillardDuarte GouveiaHélène BatinaNiza BazalineSylvie RuatKaren CulottaGuylaine MiotelloStéphanie DebroasMarie-Anne RoncatoGérard SteinmetzCharlotte FoissardAnne DesplanBéatrice Alpha-BazinChristine AlmuniaFabienne GasLaurent BellangerJean ArmengaudPublished in: Emerging microbes & infections (2020)
Severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) has resulted in a pandemic and is continuing to spread rapidly around the globe. No effective vaccine is currently available to prevent COVID-19, and intense efforts are being invested worldwide into vaccine development. In this context, all technology platforms must overcome several challenges resulting from the use of an incompletely characterized new virus. These include finding the right conditions for virus amplification for the development of vaccines based on inactivated or attenuated whole viral particles. Here, we describe a shotgun tandem mass spectrometry workflow, the data produced can be used to guide optimization of the conditions for viral amplification. In parallel, we analysed the changes occurring in the host cell proteome following SARS-CoV-2 infection to glean information on the biological processes modulated by the virus that could be further explored as potential drug targets to deal with the pandemic.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- tandem mass spectrometry
- ultra high performance liquid chromatography
- liquid chromatography
- high performance liquid chromatography
- simultaneous determination
- gas chromatography
- mass spectrometry
- induced apoptosis
- electronic health record
- nucleic acid
- single cell
- label free
- cell cycle arrest
- solid phase extraction
- disease virus
- cell therapy
- coronavirus disease
- emergency department
- stem cells
- big data
- high resolution
- mesenchymal stem cells
- health information
- oxidative stress
- social media
- human health
- risk assessment
- endoplasmic reticulum stress