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Longitudinal analysis of invariant natural killer T cell activation reveals a cMAF-associated transcriptional state of NKT10 cells
Innate T cells, including CD1d-restricted invariant natural killer T (iNKT) cells, are characterized by their rapid activation in response to non-peptide antigens, such as lipids. While the transcriptional profiles of naive, effector, and memory adaptive T cells have been well studied, less is known...
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/PMC9831610/ https://www.ncbi.nlm.nih.gov/pubmed/36458691 http://dx.doi.org/10.7554/eLife.76586 |
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author | Kane, Harry LaMarche, Nelson M Ní Scannail, Áine Garza, Amanda E Koay, Hui-Fern Azad, Adiba I Kunkemoeller, Britta Stevens, Brenneth Brenner, Michael B Lynch, Lydia |
author_facet | Kane, Harry LaMarche, Nelson M Ní Scannail, Áine Garza, Amanda E Koay, Hui-Fern Azad, Adiba I Kunkemoeller, Britta Stevens, Brenneth Brenner, Michael B Lynch, Lydia |
author_sort | Kane, Harry |
collection | PubMed |
description | Innate T cells, including CD1d-restricted invariant natural killer T (iNKT) cells, are characterized by their rapid activation in response to non-peptide antigens, such as lipids. While the transcriptional profiles of naive, effector, and memory adaptive T cells have been well studied, less is known about the transcriptional regulation of different iNKT cell activation states. Here, using single-cell RNA-sequencing, we performed longitudinal profiling of activated murine iNKT cells, generating a transcriptomic atlas of iNKT cell activation states. We found that transcriptional signatures of activation are highly conserved among heterogeneous iNKT cell populations, including NKT1, NKT2, and NKT17 subsets, and human iNKT cells. Strikingly, we found that regulatory iNKT cells, such as adipose iNKT cells, undergo blunted activation and display constitutive enrichment of memory-like cMAF(+) and KLRG1(+) populations. Moreover, we identify a conserved cMAF-associated transcriptional network among NKT10 cells, providing novel insights into the biology of regulatory and antigen-experienced iNKT cells. |
format | Online Article Text |
id | pubmed-9831610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-98316102023-01-11 Longitudinal analysis of invariant natural killer T cell activation reveals a cMAF-associated transcriptional state of NKT10 cells Kane, Harry LaMarche, Nelson M Ní Scannail, Áine Garza, Amanda E Koay, Hui-Fern Azad, Adiba I Kunkemoeller, Britta Stevens, Brenneth Brenner, Michael B Lynch, Lydia eLife Computational and Systems Biology Innate T cells, including CD1d-restricted invariant natural killer T (iNKT) cells, are characterized by their rapid activation in response to non-peptide antigens, such as lipids. While the transcriptional profiles of naive, effector, and memory adaptive T cells have been well studied, less is known about the transcriptional regulation of different iNKT cell activation states. Here, using single-cell RNA-sequencing, we performed longitudinal profiling of activated murine iNKT cells, generating a transcriptomic atlas of iNKT cell activation states. We found that transcriptional signatures of activation are highly conserved among heterogeneous iNKT cell populations, including NKT1, NKT2, and NKT17 subsets, and human iNKT cells. Strikingly, we found that regulatory iNKT cells, such as adipose iNKT cells, undergo blunted activation and display constitutive enrichment of memory-like cMAF(+) and KLRG1(+) populations. Moreover, we identify a conserved cMAF-associated transcriptional network among NKT10 cells, providing novel insights into the biology of regulatory and antigen-experienced iNKT cells. eLife Sciences Publications, Ltd 2022-12-02 /pmc/articles/PMC9831610/ /pubmed/36458691 http://dx.doi.org/10.7554/eLife.76586 Text en © 2022, Kane 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 Kane, Harry LaMarche, Nelson M Ní Scannail, Áine Garza, Amanda E Koay, Hui-Fern Azad, Adiba I Kunkemoeller, Britta Stevens, Brenneth Brenner, Michael B Lynch, Lydia Longitudinal analysis of invariant natural killer T cell activation reveals a cMAF-associated transcriptional state of NKT10 cells |
title | Longitudinal analysis of invariant natural killer T cell activation reveals a cMAF-associated transcriptional state of NKT10 cells |
title_full | Longitudinal analysis of invariant natural killer T cell activation reveals a cMAF-associated transcriptional state of NKT10 cells |
title_fullStr | Longitudinal analysis of invariant natural killer T cell activation reveals a cMAF-associated transcriptional state of NKT10 cells |
title_full_unstemmed | Longitudinal analysis of invariant natural killer T cell activation reveals a cMAF-associated transcriptional state of NKT10 cells |
title_short | Longitudinal analysis of invariant natural killer T cell activation reveals a cMAF-associated transcriptional state of NKT10 cells |
title_sort | longitudinal analysis of invariant natural killer t cell activation reveals a cmaf-associated transcriptional state of nkt10 cells |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9831610/ https://www.ncbi.nlm.nih.gov/pubmed/36458691 http://dx.doi.org/10.7554/eLife.76586 |
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