dc.contributor.author | Shalek, Alexander K | |
dc.date.accessioned | 2022-09-15T19:13:41Z | |
dc.date.available | 2022-03-18T18:39:18Z | |
dc.date.available | 2022-09-15T19:13:41Z | |
dc.date.issued | 2022-01-21 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/141305.2 | |
dc.description.abstract | Effective presentation of antigens by human leukocyte antigen (HLA) class I molecules to CD8+ T cells is required for viral elimination and generation of long-term immunological memory. In this study, we applied a single-cell, multiomic technology to generate a unified ex vivo characterization of the CD8+ T cell response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) across four major HLA class I alleles. We found that HLA genotype conditions key features of epitope specificity, TCRα/β sequence diversity, and the utilization of pre-existing SARS-CoV-2-reactive memory T cell pools. Single-cell transcriptomics revealed functionally diverse T cell phenotypes of SARS-CoV-2-reactive T cells, associated with both disease stage and epitope specificity. Our results show that HLA variations notably influence the CD8+ T cell repertoire shape and utilization of immune recall upon SARS-CoV-2 infection. | en_US |
dc.language.iso | en | |
dc.relation.isversionof | 10.1126/sciimmunol.abk3070 | en_US |
dc.rights | Creative Commons Attribution 4.0 International license | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | Science Immunology | en_US |
dc.title | Allelic variation in class I HLA determines CD8+ T cell repertoire shape and cross-reactive memory responses to SARS-CoV-2. | en_US |
dc.type | Article | en_US |
dc.identifier.citation | 2022. "Allelic variation in class I HLA determines CD8+ T cell repertoire shape and cross-reactive memory responses to SARS-CoV-2.." Sci Immunol, 7 (67). | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Chemistry | en_US |
dc.contributor.department | Koch Institute for Integrative Cancer Research at MIT | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Institute for Medical Engineering & Science | en_US |
dc.contributor.department | Ragon Institute of MGH, MIT and Harvard | en_US |
dc.relation.journal | Sci Immunol | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2022-03-18T18:32:00Z | |
dspace.orderedauthors | Francis, JM; Leistritz-Edwards, D; Dunn, A; Tarr, C; Lehman, J; Dempsey, C; Hamel, A; Rayon, V; Liu, G; Wang, Y; Wille, M; Durkin, M; Hadley, K; Sheena, A; Roscoe, B; Ng, M; Rockwell, G; Manto, M; Gienger, E; Nickerson, J; MGH COVID-19 Collection and Processing Team, ; Moarefi, A; Noble, M; Malia, T; Bardwell, PD; Gordon, W; Swain, J; Skoberne, M; Sauer, K; Harris, T; Goldrath, AW; Shalek, AK; Coyle, AJ; Benoist, C; Pregibon, DC | en_US |
dspace.date.submission | 2022-03-18T18:32:01Z | |
mit.journal.volume | 7 | en_US |
mit.journal.issue | 67 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Publication Information Needed | en_US |