SARS-CoV-2 accessory proteins ORF7a and ORF3a use distinct mechanisms to down-regulate MHC-I surface expression
Open accessPublished version of a preprint
Abstract
Major histocompatibility complex class I (MHC-I) molecules, which are dimers of a glycosylated polymorphic transmembrane heavy chain and the small-protein β 2 -microglobulin (β 2 m), bind peptides in the endoplasmic reticulum that are generated by the cytosolic turnover of cellular proteins. In virus-infected cells, these peptides may include those derived from viral proteins. Peptide-MHC-I complexes then traffic through the secretory pathway and are displayed at the cell surface where those containing viral peptides can be detected by CD8 + T lymphocytes that kill infected cells. Many viruses enhance their in vivo survival by encoding genes that down-regulate MHC-I expression to avoid CD8 + T cell recognition. Here, we report that two accessory proteins encoded by SARS-CoV-2, the causative agent of the ongoing COVID-19 pandemic, down-regulate MHC-I expression using distinct mechanisms. First, ORF3a, a viroporin, reduces the global trafficking of proteins, including MHC-I, through the secretory pathway. The second, ORF7a, interacts specifically with the MHC-I heavy chain, acting as a molecular mimic of β 2 m to inhibit its association. This slows the exit of properly assembled MHC-I molecules from the endoplasmic reticulum. We demonstrate that ORF7a reduces antigen presentation by the human MHC-I allele HLA-A*02:01. Thus, both ORF3a and ORF7a act post-translationally in the secretory pathway to lower surface MHC-I expression, with ORF7a exhibiting a specific mechanism that allows immune evasion by SARS-CoV-2.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
Evasion of Type I Interferon by SARS-CoV-2
Xia, H., Cao, Z., Xie, X., Zhang, X., Chen, J. Y.-C., Wang, H., Menachery, V. D., Rajsbaum, R., & Shi, P.-Y. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108234 · Cited by 957 · see citing works
An Infectious cDNA Clone of SARS-CoV-2
Xie, X., Muruato, A., Lokugamage, K. G., Narayanan, K., Zhang, X., Zou, J., Liu, J., Schindewolf, C., Bopp, N. E., Aguilar, P. V., et al. (2020) · Cell Host & Microbe · doi:10.1016/j.chom.2020.04.004 · Cited by 647 · see citing works
Profiling SARS-CoV-2 HLA-I peptidome reveals T cell epitopes from out-of-frame ORFs
Weingarten-Gabbay, S., Klaeger, S., Sarkizova, S., Pearlman, L. R., Chen, D.-Y., Gallagher, K. M. E., Bauer, M. R., Taylor, H. B., Dunn, W. A., Tarr, C., et al. (2021) · Cell · doi:10.1016/j.cell.2021.05.046 · Cited by 147 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Painter, M. M., Johnston, T. S., Lundgreen, K. A., Santos, J. J. S., Qin, J. S., Goel, R. R., Apostolidis, S. A., Mathew, D., Fulmer, B., Williams, J. C., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01613-y · Cited by 106 · see citing works
- Authors
- Arshad, N., Laurent-Rolle, M., Ahmed, W. S., Hsu, J. C.-C., Mitchell, S. M., Pawlak, J., Sengupta, D., Biswas, K. H., & Cresswell, P.
- Affiliations
- Yale University (US)
- Hamad bin Khalifa University (QA)
- Corresponding author
- Cresswell, Peter
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2022-12-27
- Volume
- 120
- Issue
- 1
- Pages
- e2208525120-e2208525120
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC9910621
- OpenAlex
- W4313251173
- Cited by
- 119
- References
- 4
- Citations by year
- 2026: 11 · 2025: 29 · 2024: 27 · 2023: 44 · 2022: 8
- FWCI
- 13.18
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by-nc-nd)
- Figshare (submittedVersion, cc-by-nc-nd)
- Funders
- HHS | NIH | National Institute of Allergy and Infectious Diseases (RO1-AI059167, KL2 TR001862)
- HHS | NIH | National Heart, Lung, and Blood Institute (5-T32 HL 7975-19)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Keywords
- SARS-CoV-2, ORF7a, ORF3a, MHC class I downregulation, antigen presentation, immune evasion, viroporins, HLA-A*0201, endoplasmic reticulum, COVID-19 pandemic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review