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Single-cell RNA-Seq reveals transcriptional heterogeneity and immune subtypes associated with disease activity in human myasthenia gravis
Myasthenia gravis (MG) is a rare autoimmune disease. Although the impact of immune cell disorder in MG has been extensively studied, little is known about the transcriptomes of individual cells. Here, we assessed the transcriptional profiles of 39,243 cells by single-cell sequencing and identified 1...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440681/ https://www.ncbi.nlm.nih.gov/pubmed/34521820 http://dx.doi.org/10.1038/s41421-021-00314-w |
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author | Jin, Wanlin Yang, Qi Peng, Yuyao Yan, Chengkai Li, Yi Luo, Zhaohui Xiao, Bo Xu, Liqun Yang, Huan |
author_facet | Jin, Wanlin Yang, Qi Peng, Yuyao Yan, Chengkai Li, Yi Luo, Zhaohui Xiao, Bo Xu, Liqun Yang, Huan |
author_sort | Jin, Wanlin |
collection | PubMed |
description | Myasthenia gravis (MG) is a rare autoimmune disease. Although the impact of immune cell disorder in MG has been extensively studied, little is known about the transcriptomes of individual cells. Here, we assessed the transcriptional profiles of 39,243 cells by single-cell sequencing and identified 13 major cell clusters, along with 39 subgroups of cells derived from patients with new-onset myasthenia gravis and healthy controls. We found that B cells, CD4(+) T cells, and monocytes exhibited more heterogeneity in MG patients. CD4(+) T cells were expanded in MG patients. We reclustered B cells and CD4(+) T cells, and predict their essential regulators. Further analyses demonstrated that B cells in MG exhibited higher transcriptional activity towards plasma cell differentiation, CD4(+) T cell subsets were unbalanced, and inflammatory pathways of monocytes were highly activated. Notably, we discovered a disease-relevant subgroup, CD180(−) B cells. Increased CD180(−) B cells in MG are indicative of a high IgG composition and were associated with disease activity and the anti-AChR antibody. Together, our data further the understanding of the cellular heterogeneity involved in the pathogenesis of MG and provide large cell-type-specific markers for subsequent research. |
format | Online Article Text |
id | pubmed-8440681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-84406812021-10-04 Single-cell RNA-Seq reveals transcriptional heterogeneity and immune subtypes associated with disease activity in human myasthenia gravis Jin, Wanlin Yang, Qi Peng, Yuyao Yan, Chengkai Li, Yi Luo, Zhaohui Xiao, Bo Xu, Liqun Yang, Huan Cell Discov Article Myasthenia gravis (MG) is a rare autoimmune disease. Although the impact of immune cell disorder in MG has been extensively studied, little is known about the transcriptomes of individual cells. Here, we assessed the transcriptional profiles of 39,243 cells by single-cell sequencing and identified 13 major cell clusters, along with 39 subgroups of cells derived from patients with new-onset myasthenia gravis and healthy controls. We found that B cells, CD4(+) T cells, and monocytes exhibited more heterogeneity in MG patients. CD4(+) T cells were expanded in MG patients. We reclustered B cells and CD4(+) T cells, and predict their essential regulators. Further analyses demonstrated that B cells in MG exhibited higher transcriptional activity towards plasma cell differentiation, CD4(+) T cell subsets were unbalanced, and inflammatory pathways of monocytes were highly activated. Notably, we discovered a disease-relevant subgroup, CD180(−) B cells. Increased CD180(−) B cells in MG are indicative of a high IgG composition and were associated with disease activity and the anti-AChR antibody. Together, our data further the understanding of the cellular heterogeneity involved in the pathogenesis of MG and provide large cell-type-specific markers for subsequent research. Springer Singapore 2021-09-14 /pmc/articles/PMC8440681/ /pubmed/34521820 http://dx.doi.org/10.1038/s41421-021-00314-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Jin, Wanlin Yang, Qi Peng, Yuyao Yan, Chengkai Li, Yi Luo, Zhaohui Xiao, Bo Xu, Liqun Yang, Huan Single-cell RNA-Seq reveals transcriptional heterogeneity and immune subtypes associated with disease activity in human myasthenia gravis |
title | Single-cell RNA-Seq reveals transcriptional heterogeneity and immune subtypes associated with disease activity in human myasthenia gravis |
title_full | Single-cell RNA-Seq reveals transcriptional heterogeneity and immune subtypes associated with disease activity in human myasthenia gravis |
title_fullStr | Single-cell RNA-Seq reveals transcriptional heterogeneity and immune subtypes associated with disease activity in human myasthenia gravis |
title_full_unstemmed | Single-cell RNA-Seq reveals transcriptional heterogeneity and immune subtypes associated with disease activity in human myasthenia gravis |
title_short | Single-cell RNA-Seq reveals transcriptional heterogeneity and immune subtypes associated with disease activity in human myasthenia gravis |
title_sort | single-cell rna-seq reveals transcriptional heterogeneity and immune subtypes associated with disease activity in human myasthenia gravis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440681/ https://www.ncbi.nlm.nih.gov/pubmed/34521820 http://dx.doi.org/10.1038/s41421-021-00314-w |
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