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Patterns of T‐Cell Phenotypes in Rheumatic Diseases From Single‐Cell Studies of Tissue
High‐dimensional analyses of tissue samples from patients with rheumatic diseases are providing increasingly detailed descriptions of the immune cell populations that infiltrate tissues in different rheumatic diseases. Here we review key observations emerging from high‐dimensional analyses of T cell...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449042/ https://www.ncbi.nlm.nih.gov/pubmed/34255929 http://dx.doi.org/10.1002/acr2.11296 |
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author | Gao, Yidan Dunlap, Garrett Elahee, Mehreen Rao, Deepak A. |
author_facet | Gao, Yidan Dunlap, Garrett Elahee, Mehreen Rao, Deepak A. |
author_sort | Gao, Yidan |
collection | PubMed |
description | High‐dimensional analyses of tissue samples from patients with rheumatic diseases are providing increasingly detailed descriptions of the immune cell populations that infiltrate tissues in different rheumatic diseases. Here we review key observations emerging from high‐dimensional analyses of T cells within tissues in different rheumatic diseases, highlighting common themes across diseases as well as distinguishing features. Single‐cell RNA sequencing analyses capture several dimensions of T‐cell states, yet surprisingly, these analyses generally have not demonstrated distinct clusters of paradigmatic T‐cell effector subsets, such as T helper (Th) 1, Th2, and Th17 cells. Rather, global transcriptomics robustly identify both proliferating T cells and regulatory T cells and have also helped to reveal new effector subsets in inflamed tissues, including T peripheral helper cells and granzyme K(+) T cells. Further characterization of the T‐cell populations that accumulate within target tissues should enable more precise targeting of biologic therapies and accelerate development of more specific biomarkers to track activity of relevant immune pathways in patients with rheumatic diseases. |
format | Online Article Text |
id | pubmed-8449042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84490422021-12-21 Patterns of T‐Cell Phenotypes in Rheumatic Diseases From Single‐Cell Studies of Tissue Gao, Yidan Dunlap, Garrett Elahee, Mehreen Rao, Deepak A. ACR Open Rheumatol Review Article High‐dimensional analyses of tissue samples from patients with rheumatic diseases are providing increasingly detailed descriptions of the immune cell populations that infiltrate tissues in different rheumatic diseases. Here we review key observations emerging from high‐dimensional analyses of T cells within tissues in different rheumatic diseases, highlighting common themes across diseases as well as distinguishing features. Single‐cell RNA sequencing analyses capture several dimensions of T‐cell states, yet surprisingly, these analyses generally have not demonstrated distinct clusters of paradigmatic T‐cell effector subsets, such as T helper (Th) 1, Th2, and Th17 cells. Rather, global transcriptomics robustly identify both proliferating T cells and regulatory T cells and have also helped to reveal new effector subsets in inflamed tissues, including T peripheral helper cells and granzyme K(+) T cells. Further characterization of the T‐cell populations that accumulate within target tissues should enable more precise targeting of biologic therapies and accelerate development of more specific biomarkers to track activity of relevant immune pathways in patients with rheumatic diseases. John Wiley and Sons Inc. 2021-07-13 /pmc/articles/PMC8449042/ /pubmed/34255929 http://dx.doi.org/10.1002/acr2.11296 Text en © 2021 The Authors. ACR Open Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Review Article Gao, Yidan Dunlap, Garrett Elahee, Mehreen Rao, Deepak A. Patterns of T‐Cell Phenotypes in Rheumatic Diseases From Single‐Cell Studies of Tissue |
title | Patterns of T‐Cell Phenotypes in Rheumatic Diseases From Single‐Cell Studies of Tissue |
title_full | Patterns of T‐Cell Phenotypes in Rheumatic Diseases From Single‐Cell Studies of Tissue |
title_fullStr | Patterns of T‐Cell Phenotypes in Rheumatic Diseases From Single‐Cell Studies of Tissue |
title_full_unstemmed | Patterns of T‐Cell Phenotypes in Rheumatic Diseases From Single‐Cell Studies of Tissue |
title_short | Patterns of T‐Cell Phenotypes in Rheumatic Diseases From Single‐Cell Studies of Tissue |
title_sort | patterns of t‐cell phenotypes in rheumatic diseases from single‐cell studies of tissue |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449042/ https://www.ncbi.nlm.nih.gov/pubmed/34255929 http://dx.doi.org/10.1002/acr2.11296 |
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