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Delineating the transcriptional landscape and clonal diversity of virus-specific CD4(+) T cells during chronic viral infection
Although recent evidence indicates that CD4(+) T cells responding to chronic viral infection are functionally heterogenous, our understanding of the developmental relationships between these subsets, and a determination of how their transcriptional landscape compares to their acute infection counter...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629829/ https://www.ncbi.nlm.nih.gov/pubmed/36255051 http://dx.doi.org/10.7554/eLife.80079 |
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author | Zander, Ryan Khatun, Achia Kasmani, Moujtaba Y Chen, Yao Cui, Weiguo |
author_facet | Zander, Ryan Khatun, Achia Kasmani, Moujtaba Y Chen, Yao Cui, Weiguo |
author_sort | Zander, Ryan |
collection | PubMed |
description | Although recent evidence indicates that CD4(+) T cells responding to chronic viral infection are functionally heterogenous, our understanding of the developmental relationships between these subsets, and a determination of how their transcriptional landscape compares to their acute infection counterparts remains unclear. Additionally, whether cell-intrinsic factors such as TCR usage influence CD4(+) T cell fate commitment during persistent infection has not previously been studied. Herein, we perform single-cell RNA sequencing (scRNA-seq) combined with single-cell T cell receptor sequencing (scTCR-seq) on virus-specific CD4(+) T cells isolated from mice infected with chronic lymphocytic choriomeningitis virus (LCMV) infection. We identify several transcriptionally distinct states among the Th1, Tfh, and memory-like T cell subsets that form at the peak of infection, including the presence of a previously unrecognized Slamf7(+) subset with cytolytic features. We further show that the relative distribution of these populations differs substantially between acute and persistent LCMV infection. Moreover, while the progeny of most T cell clones displays membership within each of these transcriptionally unique populations, overall supporting a one cell-multiple fate model, a small fraction of clones display a biased cell fate decision, suggesting that TCR usage may impact CD4(+) T cell development during chronic infection. Importantly, comparative analyses further reveal both subset-specific and core gene expression programs that are differentially regulated between CD4(+) T cells responding to acute and chronic LCMV infection. Together, these data may serve as a useful framework and allow for a detailed interrogation into the clonal distribution and transcriptional circuits underlying CD4(+) T cell differentiation during chronic viral infection. |
format | Online Article Text |
id | pubmed-9629829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-96298292022-11-03 Delineating the transcriptional landscape and clonal diversity of virus-specific CD4(+) T cells during chronic viral infection Zander, Ryan Khatun, Achia Kasmani, Moujtaba Y Chen, Yao Cui, Weiguo eLife Computational and Systems Biology Although recent evidence indicates that CD4(+) T cells responding to chronic viral infection are functionally heterogenous, our understanding of the developmental relationships between these subsets, and a determination of how their transcriptional landscape compares to their acute infection counterparts remains unclear. Additionally, whether cell-intrinsic factors such as TCR usage influence CD4(+) T cell fate commitment during persistent infection has not previously been studied. Herein, we perform single-cell RNA sequencing (scRNA-seq) combined with single-cell T cell receptor sequencing (scTCR-seq) on virus-specific CD4(+) T cells isolated from mice infected with chronic lymphocytic choriomeningitis virus (LCMV) infection. We identify several transcriptionally distinct states among the Th1, Tfh, and memory-like T cell subsets that form at the peak of infection, including the presence of a previously unrecognized Slamf7(+) subset with cytolytic features. We further show that the relative distribution of these populations differs substantially between acute and persistent LCMV infection. Moreover, while the progeny of most T cell clones displays membership within each of these transcriptionally unique populations, overall supporting a one cell-multiple fate model, a small fraction of clones display a biased cell fate decision, suggesting that TCR usage may impact CD4(+) T cell development during chronic infection. Importantly, comparative analyses further reveal both subset-specific and core gene expression programs that are differentially regulated between CD4(+) T cells responding to acute and chronic LCMV infection. Together, these data may serve as a useful framework and allow for a detailed interrogation into the clonal distribution and transcriptional circuits underlying CD4(+) T cell differentiation during chronic viral infection. eLife Sciences Publications, Ltd 2022-10-18 /pmc/articles/PMC9629829/ /pubmed/36255051 http://dx.doi.org/10.7554/eLife.80079 Text en © 2022, Zander, Khatun et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Zander, Ryan Khatun, Achia Kasmani, Moujtaba Y Chen, Yao Cui, Weiguo Delineating the transcriptional landscape and clonal diversity of virus-specific CD4(+) T cells during chronic viral infection |
title | Delineating the transcriptional landscape and clonal diversity of virus-specific CD4(+) T cells during chronic viral infection |
title_full | Delineating the transcriptional landscape and clonal diversity of virus-specific CD4(+) T cells during chronic viral infection |
title_fullStr | Delineating the transcriptional landscape and clonal diversity of virus-specific CD4(+) T cells during chronic viral infection |
title_full_unstemmed | Delineating the transcriptional landscape and clonal diversity of virus-specific CD4(+) T cells during chronic viral infection |
title_short | Delineating the transcriptional landscape and clonal diversity of virus-specific CD4(+) T cells during chronic viral infection |
title_sort | delineating the transcriptional landscape and clonal diversity of virus-specific cd4(+) t cells during chronic viral infection |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629829/ https://www.ncbi.nlm.nih.gov/pubmed/36255051 http://dx.doi.org/10.7554/eLife.80079 |
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