SARS-CoV-2 infected cells present HLA-I peptides from canonical and out-of-frame ORFs.


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
26 Oct 2020
Historique:
pubmed: 8 10 2020
medline: 8 10 2020
entrez: 7 10 2020
Statut: epublish

Résumé

T cell-mediated immunity may play a critical role in controlling and establishing protective immunity against SARS-CoV-2 infection; yet the repertoire of viral epitopes responsible for T cell response activation remains mostly unknown. Identification of viral peptides presented on class I human leukocyte antigen (HLA-I) can reveal epitopes for recognition by cytotoxic T cells and potential incorporation into vaccines. Here, we report the first HLA-I immunopeptidome of SARS-CoV-2 in two human cell lines at different times post-infection using mass spectrometry. We found HLA-I peptides derived not only from canonical ORFs, but also from internal out-of-frame ORFs in Spike and Nucleoprotein not captured by current vaccines. Proteomics analyses of infected cells revealed that SARS-CoV-2 may interfere with antigen processing and immune signaling pathways. Based on the endogenously processed and presented viral peptides that we identified, we estimate that a pool of 24 peptides would provide one or more peptides for presentation by at least one HLA allele in 99% of the human population. These biological insights and the list of naturally presented SARS-CoV-2 peptides will facilitate data-driven selection of peptides for immune monitoring and vaccine development.

Identifiants

pubmed: 33024965
doi: 10.1101/2020.10.02.324145
pmc: PMC7536868
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NCI NIH HHS
ID : U24 CA210986
Pays : United States
Organisme : NHGRI NIH HHS
ID : T32 HG002295
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA270823
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA210979
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA214125
Pays : United States

Auteurs

Classifications MeSH