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Resolving SARS-CoV-2 CD4(+) T cell specificity via reverse epitope discovery
The current strategy to detect immunodominant T cell responses focuses on the antigen, employing large peptide pools to screen for functional cell activation. However, these approaches are labor and sample intensive and scale poorly with increasing size of the pathogen peptidome. T cell receptors (T...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247234/ https://www.ncbi.nlm.nih.gov/pubmed/35841887 http://dx.doi.org/10.1016/j.xcrm.2022.100697 |
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author | Pogorelyy, Mikhail V. Rosati, Elisa Minervina, Anastasia A. Mettelman, Robert C. Scheffold, Alexander Franke, Andre Bacher, Petra Thomas, Paul G. |
author_facet | Pogorelyy, Mikhail V. Rosati, Elisa Minervina, Anastasia A. Mettelman, Robert C. Scheffold, Alexander Franke, Andre Bacher, Petra Thomas, Paul G. |
author_sort | Pogorelyy, Mikhail V. |
collection | PubMed |
description | The current strategy to detect immunodominant T cell responses focuses on the antigen, employing large peptide pools to screen for functional cell activation. However, these approaches are labor and sample intensive and scale poorly with increasing size of the pathogen peptidome. T cell receptors (TCRs) recognizing the same epitope frequently have highly similar sequences, and thus, the presence of large sequence similarity clusters in the TCR repertoire likely identify the most public and immunodominant responses. Here, we perform a meta-analysis of large, publicly available single-cell and bulk TCR datasets from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected individuals to identify public CD4(+) responses. We report more than 1,200 αβTCRs forming six prominent similarity clusters and validate histocompatibility leukocyte antigen (HLA) restriction and epitope specificity predictions for five clusters using transgenic T cell lines. Collectively, these data provide information on immunodominant CD4(+) T cell responses to SARS-CoV-2 and demonstrate the utility of the reverse epitope discovery approach. |
format | Online Article Text |
id | pubmed-9247234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-92472342022-07-01 Resolving SARS-CoV-2 CD4(+) T cell specificity via reverse epitope discovery Pogorelyy, Mikhail V. Rosati, Elisa Minervina, Anastasia A. Mettelman, Robert C. Scheffold, Alexander Franke, Andre Bacher, Petra Thomas, Paul G. Cell Rep Med Report The current strategy to detect immunodominant T cell responses focuses on the antigen, employing large peptide pools to screen for functional cell activation. However, these approaches are labor and sample intensive and scale poorly with increasing size of the pathogen peptidome. T cell receptors (TCRs) recognizing the same epitope frequently have highly similar sequences, and thus, the presence of large sequence similarity clusters in the TCR repertoire likely identify the most public and immunodominant responses. Here, we perform a meta-analysis of large, publicly available single-cell and bulk TCR datasets from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected individuals to identify public CD4(+) responses. We report more than 1,200 αβTCRs forming six prominent similarity clusters and validate histocompatibility leukocyte antigen (HLA) restriction and epitope specificity predictions for five clusters using transgenic T cell lines. Collectively, these data provide information on immunodominant CD4(+) T cell responses to SARS-CoV-2 and demonstrate the utility of the reverse epitope discovery approach. Elsevier 2022-07-01 /pmc/articles/PMC9247234/ /pubmed/35841887 http://dx.doi.org/10.1016/j.xcrm.2022.100697 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Report Pogorelyy, Mikhail V. Rosati, Elisa Minervina, Anastasia A. Mettelman, Robert C. Scheffold, Alexander Franke, Andre Bacher, Petra Thomas, Paul G. Resolving SARS-CoV-2 CD4(+) T cell specificity via reverse epitope discovery |
title | Resolving SARS-CoV-2 CD4(+) T cell specificity via reverse epitope discovery |
title_full | Resolving SARS-CoV-2 CD4(+) T cell specificity via reverse epitope discovery |
title_fullStr | Resolving SARS-CoV-2 CD4(+) T cell specificity via reverse epitope discovery |
title_full_unstemmed | Resolving SARS-CoV-2 CD4(+) T cell specificity via reverse epitope discovery |
title_short | Resolving SARS-CoV-2 CD4(+) T cell specificity via reverse epitope discovery |
title_sort | resolving sars-cov-2 cd4(+) t cell specificity via reverse epitope discovery |
topic | Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247234/ https://www.ncbi.nlm.nih.gov/pubmed/35841887 http://dx.doi.org/10.1016/j.xcrm.2022.100697 |
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