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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...

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Autores principales: Zander, Ryan, Khatun, Achia, Kasmani, Moujtaba Y, Chen, Yao, Cui, Weiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
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.
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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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