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Distinct Injury Responsive Regulatory T Cells Identified by Multi-Dimensional Phenotyping

CD4(+) regulatory T cells (Tregs) activate and expand in response to different types of injuries, suggesting that they play a critical role in controlling the immune response to tissue and cell damage. This project used multi-dimensional profiling techniques to comprehensively characterize injury re...

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Autores principales: Guo, Fei, Hancock, Brandon, Griffith, Alec, Lin, Hui, Howard, Kaitlyn, Keegan, Joshua, Zhang, Fan, Chicoine, Adam, Cahill, Laura, Ng, Julie, Lederer, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135044/
https://www.ncbi.nlm.nih.gov/pubmed/35634302
http://dx.doi.org/10.3389/fimmu.2022.833100
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author Guo, Fei
Hancock, Brandon
Griffith, Alec
Lin, Hui
Howard, Kaitlyn
Keegan, Joshua
Zhang, Fan
Chicoine, Adam
Cahill, Laura
Ng, Julie
Lederer, James
author_facet Guo, Fei
Hancock, Brandon
Griffith, Alec
Lin, Hui
Howard, Kaitlyn
Keegan, Joshua
Zhang, Fan
Chicoine, Adam
Cahill, Laura
Ng, Julie
Lederer, James
author_sort Guo, Fei
collection PubMed
description CD4(+) regulatory T cells (Tregs) activate and expand in response to different types of injuries, suggesting that they play a critical role in controlling the immune response to tissue and cell damage. This project used multi-dimensional profiling techniques to comprehensively characterize injury responsive Tregs in mice. We show that CD44(high) Tregs expand in response to injury and were highly suppressive when compared to CD44(low) Tregs. T cell receptor (TCR) repertoire analysis revealed that the CD44(high) Treg population undergo TCRαβ clonal expansion as well as increased TCR CDR3 diversity. Bulk RNA sequencing and single-cell RNA sequencing with paired TCR clonotype analysis identified unique differences between CD44(high) and CD44(low) Tregs and specific upregulation of genes in Tregs with expanded TCR clonotypes. Gene ontology analysis for molecular function of RNA sequencing data identified chemokine receptors and cell division as the most enriched functional terms in CD44(high) Tregs versus CD44(low) Tregs. Mass cytometry (CyTOF) analysis of Tregs from injured and uninjured mice verified protein expression of these genes on CD44(high) Tregs, with injury-induced increases in Helios, Galectin-3 and PYCARD expression. Taken together, these data indicate that injury triggers the expansion of a highly suppressive CD44(high) Treg population that is transcriptionally and phenotypically distinct from CD44(low) Tregs suggesting that they actively participate in controlling immune responses to injury and tissue damage.
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spelling pubmed-91350442022-05-27 Distinct Injury Responsive Regulatory T Cells Identified by Multi-Dimensional Phenotyping Guo, Fei Hancock, Brandon Griffith, Alec Lin, Hui Howard, Kaitlyn Keegan, Joshua Zhang, Fan Chicoine, Adam Cahill, Laura Ng, Julie Lederer, James Front Immunol Immunology CD4(+) regulatory T cells (Tregs) activate and expand in response to different types of injuries, suggesting that they play a critical role in controlling the immune response to tissue and cell damage. This project used multi-dimensional profiling techniques to comprehensively characterize injury responsive Tregs in mice. We show that CD44(high) Tregs expand in response to injury and were highly suppressive when compared to CD44(low) Tregs. T cell receptor (TCR) repertoire analysis revealed that the CD44(high) Treg population undergo TCRαβ clonal expansion as well as increased TCR CDR3 diversity. Bulk RNA sequencing and single-cell RNA sequencing with paired TCR clonotype analysis identified unique differences between CD44(high) and CD44(low) Tregs and specific upregulation of genes in Tregs with expanded TCR clonotypes. Gene ontology analysis for molecular function of RNA sequencing data identified chemokine receptors and cell division as the most enriched functional terms in CD44(high) Tregs versus CD44(low) Tregs. Mass cytometry (CyTOF) analysis of Tregs from injured and uninjured mice verified protein expression of these genes on CD44(high) Tregs, with injury-induced increases in Helios, Galectin-3 and PYCARD expression. Taken together, these data indicate that injury triggers the expansion of a highly suppressive CD44(high) Treg population that is transcriptionally and phenotypically distinct from CD44(low) Tregs suggesting that they actively participate in controlling immune responses to injury and tissue damage. Frontiers Media S.A. 2022-05-12 /pmc/articles/PMC9135044/ /pubmed/35634302 http://dx.doi.org/10.3389/fimmu.2022.833100 Text en Copyright © 2022 Guo, Hancock, Griffith, Lin, Howard, Keegan, Zhang, Chicoine, Cahill, Ng and Lederer https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Guo, Fei
Hancock, Brandon
Griffith, Alec
Lin, Hui
Howard, Kaitlyn
Keegan, Joshua
Zhang, Fan
Chicoine, Adam
Cahill, Laura
Ng, Julie
Lederer, James
Distinct Injury Responsive Regulatory T Cells Identified by Multi-Dimensional Phenotyping
title Distinct Injury Responsive Regulatory T Cells Identified by Multi-Dimensional Phenotyping
title_full Distinct Injury Responsive Regulatory T Cells Identified by Multi-Dimensional Phenotyping
title_fullStr Distinct Injury Responsive Regulatory T Cells Identified by Multi-Dimensional Phenotyping
title_full_unstemmed Distinct Injury Responsive Regulatory T Cells Identified by Multi-Dimensional Phenotyping
title_short Distinct Injury Responsive Regulatory T Cells Identified by Multi-Dimensional Phenotyping
title_sort distinct injury responsive regulatory t cells identified by multi-dimensional phenotyping
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135044/
https://www.ncbi.nlm.nih.gov/pubmed/35634302
http://dx.doi.org/10.3389/fimmu.2022.833100
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