Comprehensive analysis of T cell immunodominance and immunoprevalence of SARS-CoV-2 epitopes in COVID-19 cases
- Tarke, Alison;
- Sidney, John;
- Kidd, Conner K;
- Dan, Jennifer M;
- Ramirez, Sydney I;
- Yu, Esther Dawen;
- Mateus, Jose;
- da Silva Antunes, Ricardo;
- Moore, Erin;
- Rubiro, Paul;
- Methot, Nils;
- Phillips, Elizabeth;
- Mallal, Simon;
- Frazier, April;
- Rawlings, Stephen A;
- Greenbaum, Jason A;
- Peters, Bjoern;
- Smith, Davey M;
- Crotty, Shane;
- Weiskopf, Daniela;
- Grifoni, Alba;
- Sette, Alessandro
- et al.
Published Web Location
https://www.cell.com/cell-reports-medicine/fulltext/S2666-3791(21)00015-X?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS266637912100015X%3Fshowall%3DtrueAbstract
T cells are involved in control of SARS-CoV-2 infection. To establish the patterns of immunodominance of different SARS-CoV-2 antigens and precisely measure virus-specific CD4+ and CD8+ T cells, we study epitope-specific T cell responses of 99 convalescent coronavirus disease 2019 (COVID-19) cases. The SARS-CoV-2 proteome is probed using 1,925 peptides spanning the entire genome, ensuring an unbiased coverage of human leukocyte antigen (HLA) alleles for class II responses. For HLA class I, we study an additional 5,600 predicted binding epitopes for 28 prominent HLA class I alleles, accounting for wide global coverage. We identify several hundred HLA-restricted SARS-CoV-2-derived epitopes. Distinct patterns of immunodominance are observed, which differ for CD4+ T cells, CD8+ T cells, and antibodies. The class I and class II epitopes are combined into epitope megapools to facilitate identification and quantification of SARS-CoV-2-specific CD4+ and CD8+ T cells.
Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.