New Insights From Single-Cell Sequencing Data: Synovial Fibroblasts and Synovial Macrophages in Rheumatoid Arthritis
Single-cell RNA sequencing (scRNA-seq) technology can analyze the transcriptome expression level of cells with high-throughput from the single cell level, fully show the heterogeneity of cells, and provide a new way for the study of multicellular biological heterogeneity. Synovitis is the pathologic...
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Published in | Frontiers in Immunology Vol. 12; p. 709178 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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19.07.2021
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Abstract | Single-cell RNA sequencing (scRNA-seq) technology can analyze the transcriptome expression level of cells with high-throughput from the single cell level, fully show the heterogeneity of cells, and provide a new way for the study of multicellular biological heterogeneity. Synovitis is the pathological basis of rheumatoid arthritis (RA). Synovial fibroblasts (SFs) and synovial macrophages are the core target cells of RA, which results in the destruction of articular cartilage, as well as bone. Recent scRNA-seq technology has made breakthroughs in the differentiation and development of two types of synovial cells, identification of subsets, functional analysis, and new therapeutic targets, which will bring remarkable changes in RA treatment. |
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AbstractList | Single-cell RNA sequencing (scRNA-seq) technology can analyze the transcriptome expression level of cells with high-throughput from the single cell level, fully show the heterogeneity of cells, and provide a new way for the study of multicellular biological heterogeneity. Synovitis is the pathological basis of rheumatoid arthritis (RA). Synovial fibroblasts (SFs) and synovial macrophages are the core target cells of RA, which results in the destruction of articular cartilage, as well as bone. Recent scRNA-seq technology has made breakthroughs in the differentiation and development of two types of synovial cells, identification of subsets, functional analysis, and new therapeutic targets, which will bring remarkable changes in RA treatment. Single-cell RNA sequencing (scRNA-seq) technology can analyze the transcriptome expression level of cells with high-throughput from the single cell level, fully show the heterogeneity of cells, and provide a new way for the study of multicellular biological heterogeneity. Synovitis is the pathological basis of rheumatoid arthritis (RA). Synovial fibroblasts (SFs) and synovial macrophages are the core target cells of RA, which results in the destruction of articular cartilage, as well as bone. Recent scRNA-seq technology has made breakthroughs in the differentiation and development of two types of synovial cells, identification of subsets, functional analysis, and new therapeutic targets, which will bring remarkable changes in RA treatment.Single-cell RNA sequencing (scRNA-seq) technology can analyze the transcriptome expression level of cells with high-throughput from the single cell level, fully show the heterogeneity of cells, and provide a new way for the study of multicellular biological heterogeneity. Synovitis is the pathological basis of rheumatoid arthritis (RA). Synovial fibroblasts (SFs) and synovial macrophages are the core target cells of RA, which results in the destruction of articular cartilage, as well as bone. Recent scRNA-seq technology has made breakthroughs in the differentiation and development of two types of synovial cells, identification of subsets, functional analysis, and new therapeutic targets, which will bring remarkable changes in RA treatment. |
Author | Liyun Cheng Ruihe Wu Caihong Wang Xiaofeng Li Yanyan Wang H. Xue Tingting Ding Chong Gao |
AuthorAffiliation | 1 Department of Rheumatology, the Second Hospital of Shanxi Medical University , Taiyuan , China 2 Pathology, Joint Program in Transfusion Medicine, Brigham and Women’s Hospital/Children’s Hospital, Harvard Medical School , Boston, MA , United States |
AuthorAffiliation_xml | – name: 1 Department of Rheumatology, the Second Hospital of Shanxi Medical University , Taiyuan , China – name: 2 Pathology, Joint Program in Transfusion Medicine, Brigham and Women’s Hospital/Children’s Hospital, Harvard Medical School , Boston, MA , United States |
Author_xml | – sequence: 1 givenname: Liyun surname: Cheng fullname: Cheng, Liyun – sequence: 2 givenname: Yanyan surname: Wang fullname: Wang, Yanyan – sequence: 3 givenname: Ruihe surname: Wu fullname: Wu, Ruihe – sequence: 4 givenname: Tingting surname: Ding fullname: Ding, Tingting – sequence: 5 givenname: Hongwei surname: Xue fullname: Xue, Hongwei – sequence: 6 givenname: Chong surname: Gao fullname: Gao, Chong – sequence: 7 givenname: Xiaofeng surname: Li fullname: Li, Xiaofeng – sequence: 8 givenname: Caihong surname: Wang fullname: Wang, Caihong |
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Copyright | Copyright © 2021 Cheng, Wang, Wu, Ding, Xue, Gao, Li and Wang. Copyright © 2021 Cheng, Wang, Wu, Ding, Xue, Gao, Li and Wang 2021 Cheng, Wang, Wu, Ding, Xue, Gao, Li and Wang |
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Keywords | single-cell RNA sequencing synovial macrophage synovial fibroblast rheumatoid arthritis biomarkers |
Language | English |
License | Copyright © 2021 Cheng, Wang, Wu, Ding, Xue, Gao, Li and Wang. 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. |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23 Reviewed by: Nan Mu, Fourth Military Medical University, China; Rowan Hardy, University of Birmingham, United Kingdom Edited by: Shemin Lu, Xi’an Jiaotong University, China This article was submitted to Autoimmune and Autoinflammatory Disorders, a section of the journal Frontiers in Immunology |
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SubjectTerms | Arthritis, Rheumatoid Arthritis, Rheumatoid - pathology biomarkers Fibroblasts Fibroblasts - classification Fibroblasts - physiology Humans Immunologic diseases. Allergy Immunology Macrophages Macrophages - physiology RC581-607 rheumatoid arthritis Sequence Analysis, RNA Sequence Analysis, RNA - methods Single-Cell Analysis Single-Cell Analysis - methods single-cell RNA sequencing synovial fibroblast synovial macrophage Synovial Membrane Synovial Membrane - cytology |
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Title | New Insights From Single-Cell Sequencing Data: Synovial Fibroblasts and Synovial Macrophages in Rheumatoid Arthritis |
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