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Multimodal characterization of antigen-specific CD8(+) T cells across SARS-CoV-2 vaccination and infection
The human immune response to SARS-CoV-2 antigen after infection or vaccination is defined by the durable production of antibodies and T cells. Population-based monitoring typically focuses on antibody titer, but there is a need for improved characterization and quantification of T cell responses. He...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900816/ https://www.ncbi.nlm.nih.gov/pubmed/36747786 http://dx.doi.org/10.1101/2023.01.24.525203 |
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author | Zhang, Bingjie Upadhyay, Rabi Hao, Yuhan Samanovic, Marie I. Herati, Ramin S. Blair, John Axelrad, Jordan Mulligan, Mark J. Littman, Dan R. Satija, Rahul |
author_facet | Zhang, Bingjie Upadhyay, Rabi Hao, Yuhan Samanovic, Marie I. Herati, Ramin S. Blair, John Axelrad, Jordan Mulligan, Mark J. Littman, Dan R. Satija, Rahul |
author_sort | Zhang, Bingjie |
collection | PubMed |
description | The human immune response to SARS-CoV-2 antigen after infection or vaccination is defined by the durable production of antibodies and T cells. Population-based monitoring typically focuses on antibody titer, but there is a need for improved characterization and quantification of T cell responses. Here, we utilize multimodal sequencing technologies to perform a longitudinal analysis of circulating human leukocytes collected before and after BNT162b2 immunization. Our data reveal distinct subpopulations of CD8(+) T cells which reliably appear 28 days after prime vaccination (7 days post boost). Using a suite of cross-modality integration tools, we define their transcriptome, accessible chromatin landscape, and immunophenotype, and identify unique biomarkers within each modality. By leveraging DNA-oligo-tagged peptide-MHC multimers and T cell receptor sequencing, we demonstrate that this vaccine-induced population is SARS-CoV-2 antigen-specific and capable of rapid clonal expansion. Moreover, we also identify these CD8(+) populations in scRNA-seq datasets from COVID-19 patients and find that their relative frequency and differentiation outcomes are predictive of subsequent clinical outcomes. Our work contributes to our understanding of T cell immunity, and highlights the potential for integrative and multimodal analysis to characterize rare cell populations. |
format | Online Article Text |
id | pubmed-9900816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-99008162023-02-07 Multimodal characterization of antigen-specific CD8(+) T cells across SARS-CoV-2 vaccination and infection Zhang, Bingjie Upadhyay, Rabi Hao, Yuhan Samanovic, Marie I. Herati, Ramin S. Blair, John Axelrad, Jordan Mulligan, Mark J. Littman, Dan R. Satija, Rahul bioRxiv Article The human immune response to SARS-CoV-2 antigen after infection or vaccination is defined by the durable production of antibodies and T cells. Population-based monitoring typically focuses on antibody titer, but there is a need for improved characterization and quantification of T cell responses. Here, we utilize multimodal sequencing technologies to perform a longitudinal analysis of circulating human leukocytes collected before and after BNT162b2 immunization. Our data reveal distinct subpopulations of CD8(+) T cells which reliably appear 28 days after prime vaccination (7 days post boost). Using a suite of cross-modality integration tools, we define their transcriptome, accessible chromatin landscape, and immunophenotype, and identify unique biomarkers within each modality. By leveraging DNA-oligo-tagged peptide-MHC multimers and T cell receptor sequencing, we demonstrate that this vaccine-induced population is SARS-CoV-2 antigen-specific and capable of rapid clonal expansion. Moreover, we also identify these CD8(+) populations in scRNA-seq datasets from COVID-19 patients and find that their relative frequency and differentiation outcomes are predictive of subsequent clinical outcomes. Our work contributes to our understanding of T cell immunity, and highlights the potential for integrative and multimodal analysis to characterize rare cell populations. Cold Spring Harbor Laboratory 2023-01-24 /pmc/articles/PMC9900816/ /pubmed/36747786 http://dx.doi.org/10.1101/2023.01.24.525203 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Zhang, Bingjie Upadhyay, Rabi Hao, Yuhan Samanovic, Marie I. Herati, Ramin S. Blair, John Axelrad, Jordan Mulligan, Mark J. Littman, Dan R. Satija, Rahul Multimodal characterization of antigen-specific CD8(+) T cells across SARS-CoV-2 vaccination and infection |
title | Multimodal characterization of antigen-specific CD8(+) T cells across SARS-CoV-2 vaccination and infection |
title_full | Multimodal characterization of antigen-specific CD8(+) T cells across SARS-CoV-2 vaccination and infection |
title_fullStr | Multimodal characterization of antigen-specific CD8(+) T cells across SARS-CoV-2 vaccination and infection |
title_full_unstemmed | Multimodal characterization of antigen-specific CD8(+) T cells across SARS-CoV-2 vaccination and infection |
title_short | Multimodal characterization of antigen-specific CD8(+) T cells across SARS-CoV-2 vaccination and infection |
title_sort | multimodal characterization of antigen-specific cd8(+) t cells across sars-cov-2 vaccination and infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900816/ https://www.ncbi.nlm.nih.gov/pubmed/36747786 http://dx.doi.org/10.1101/2023.01.24.525203 |
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