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Dissecting the heterogeneity of DENV vaccine-elicited cellular immunity using single-cell RNA sequencing and metabolic profiling
Generating effective and durable T cell immunity is a critical prerequisite for vaccination against dengue virus (DENV) and other viral diseases. However, understanding the molecular mechanisms of vaccine-elicited T cell immunity remains a critical knowledge gap in vaccinology. In this study, we uti...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694189/ https://www.ncbi.nlm.nih.gov/pubmed/31413301 http://dx.doi.org/10.1038/s41467-019-11634-7 |
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author | Waickman, Adam T. Victor, Kaitlin Li, Tao Hatch, Kristin Rutvisuttinunt, Wiriya Medin, Carey Gabriel, Benjamin Jarman, Richard G. Friberg, Heather Currier, Jeffrey R. |
author_facet | Waickman, Adam T. Victor, Kaitlin Li, Tao Hatch, Kristin Rutvisuttinunt, Wiriya Medin, Carey Gabriel, Benjamin Jarman, Richard G. Friberg, Heather Currier, Jeffrey R. |
author_sort | Waickman, Adam T. |
collection | PubMed |
description | Generating effective and durable T cell immunity is a critical prerequisite for vaccination against dengue virus (DENV) and other viral diseases. However, understanding the molecular mechanisms of vaccine-elicited T cell immunity remains a critical knowledge gap in vaccinology. In this study, we utilize single-cell RNA sequencing (scRNAseq) and longitudinal TCR clonotype analysis to identify a unique transcriptional signature present in acutely activated and clonally-expanded T cells that become committed to the memory repertoire. This effector/memory-associated transcriptional signature is dominated by a robust metabolic transcriptional program. Based on this transcriptional signature, we are able to define a set of markers that identify the most durable vaccine-reactive memory-precursor CD8(+) T cells. This study illustrates the power of scRNAseq as an analytical tool to assess the molecular mechanisms of host control and vaccine modality in determining the magnitude, diversity and persistence of vaccine-elicited cell-mediated immunity. |
format | Online Article Text |
id | pubmed-6694189 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66941892019-08-19 Dissecting the heterogeneity of DENV vaccine-elicited cellular immunity using single-cell RNA sequencing and metabolic profiling Waickman, Adam T. Victor, Kaitlin Li, Tao Hatch, Kristin Rutvisuttinunt, Wiriya Medin, Carey Gabriel, Benjamin Jarman, Richard G. Friberg, Heather Currier, Jeffrey R. Nat Commun Article Generating effective and durable T cell immunity is a critical prerequisite for vaccination against dengue virus (DENV) and other viral diseases. However, understanding the molecular mechanisms of vaccine-elicited T cell immunity remains a critical knowledge gap in vaccinology. In this study, we utilize single-cell RNA sequencing (scRNAseq) and longitudinal TCR clonotype analysis to identify a unique transcriptional signature present in acutely activated and clonally-expanded T cells that become committed to the memory repertoire. This effector/memory-associated transcriptional signature is dominated by a robust metabolic transcriptional program. Based on this transcriptional signature, we are able to define a set of markers that identify the most durable vaccine-reactive memory-precursor CD8(+) T cells. This study illustrates the power of scRNAseq as an analytical tool to assess the molecular mechanisms of host control and vaccine modality in determining the magnitude, diversity and persistence of vaccine-elicited cell-mediated immunity. Nature Publishing Group UK 2019-08-14 /pmc/articles/PMC6694189/ /pubmed/31413301 http://dx.doi.org/10.1038/s41467-019-11634-7 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Waickman, Adam T. Victor, Kaitlin Li, Tao Hatch, Kristin Rutvisuttinunt, Wiriya Medin, Carey Gabriel, Benjamin Jarman, Richard G. Friberg, Heather Currier, Jeffrey R. Dissecting the heterogeneity of DENV vaccine-elicited cellular immunity using single-cell RNA sequencing and metabolic profiling |
title | Dissecting the heterogeneity of DENV vaccine-elicited cellular immunity using single-cell RNA sequencing and metabolic profiling |
title_full | Dissecting the heterogeneity of DENV vaccine-elicited cellular immunity using single-cell RNA sequencing and metabolic profiling |
title_fullStr | Dissecting the heterogeneity of DENV vaccine-elicited cellular immunity using single-cell RNA sequencing and metabolic profiling |
title_full_unstemmed | Dissecting the heterogeneity of DENV vaccine-elicited cellular immunity using single-cell RNA sequencing and metabolic profiling |
title_short | Dissecting the heterogeneity of DENV vaccine-elicited cellular immunity using single-cell RNA sequencing and metabolic profiling |
title_sort | dissecting the heterogeneity of denv vaccine-elicited cellular immunity using single-cell rna sequencing and metabolic profiling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694189/ https://www.ncbi.nlm.nih.gov/pubmed/31413301 http://dx.doi.org/10.1038/s41467-019-11634-7 |
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