Transcriptome analysis of peripheral blood from patients with rheumatoid arthritis: a systematic review

Abstract In the era of precision medicine, transcriptome analysis of whole gene expression is an essential technology. While DNA microarray has a limited dynamic range and a problem of background hybridization, RNA sequencing (RNA-seq) has a broader dynamic range and a lower background signal that i...

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Main Authors: Shuji Sumitomo, Yasuo Nagafuchi, Yumi Tsuchida, Haruka Tsuchiya, Mineto Ota, Kazuyoshi Ishigaki, Akari Suzuki, Yuta Kochi, Keishi Fujio, Kazuhiko Yamamoto
Format: Article
Language:English
Published: BMC 2018-11-01
Series:Inflammation and Regeneration
Subjects:
Online Access:http://link.springer.com/article/10.1186/s41232-018-0078-5
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author Shuji Sumitomo
Yasuo Nagafuchi
Yumi Tsuchida
Haruka Tsuchiya
Mineto Ota
Kazuyoshi Ishigaki
Akari Suzuki
Yuta Kochi
Keishi Fujio
Kazuhiko Yamamoto
author_facet Shuji Sumitomo
Yasuo Nagafuchi
Yumi Tsuchida
Haruka Tsuchiya
Mineto Ota
Kazuyoshi Ishigaki
Akari Suzuki
Yuta Kochi
Keishi Fujio
Kazuhiko Yamamoto
author_sort Shuji Sumitomo
collection DOAJ
description Abstract In the era of precision medicine, transcriptome analysis of whole gene expression is an essential technology. While DNA microarray has a limited dynamic range and a problem of background hybridization, RNA sequencing (RNA-seq) has a broader dynamic range and a lower background signal that increase the sensitivity and reproducibility. While transcriptome analyses in rheumatoid arthritis (RA) have generally focused on whole peripheral blood mononuclear cells (PBMC), analyses of detailed cell subsets have an increased need for understanding the pathophysiology of disease because the involvement of CD4+ T cells in the pathogenesis of RA has been established. Transcriptome analysis of detailed CD4+ T cell subsets or neutrophils shed new light on the pathophysiology of RA. There are several analyses about the effect of biological treatment. Many studies report the association between type I interferon signature gene expression and response to therapy.
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spelling doaj.art-db90aea427ec4d6cba14bb9feb21abcf2022-12-21T23:47:47ZengBMCInflammation and Regeneration1880-81902018-11-013811510.1186/s41232-018-0078-5Transcriptome analysis of peripheral blood from patients with rheumatoid arthritis: a systematic reviewShuji Sumitomo0Yasuo Nagafuchi1Yumi Tsuchida2Haruka Tsuchiya3Mineto Ota4Kazuyoshi Ishigaki5Akari Suzuki6Yuta Kochi7Keishi Fujio8Kazuhiko Yamamoto9Department of Allergy and Rheumatology, Graduate School of Medicine, the University of TokyoDepartment of Allergy and Rheumatology, Graduate School of Medicine, the University of TokyoDepartment of Allergy and Rheumatology, Graduate School of Medicine, the University of TokyoDepartment of Allergy and Rheumatology, Graduate School of Medicine, the University of TokyoDepartment of Allergy and Rheumatology, Graduate School of Medicine, the University of TokyoLaboratory for Statistical Analysis, Center for Integrative Medical Sciences, the Institute of Physical and Chemical Research (RIKEN)Laboratory for Autoimmune Diseases, Center for Integrative Medical Sciences, the Institute of Physical and Chemical Research (RIKEN)Laboratory for Autoimmune Diseases, Center for Integrative Medical Sciences, the Institute of Physical and Chemical Research (RIKEN)Department of Allergy and Rheumatology, Graduate School of Medicine, the University of TokyoCenter for Integrative Medical Sciences, the Institute of Physical and Chemical Research (RIKEN)Abstract In the era of precision medicine, transcriptome analysis of whole gene expression is an essential technology. While DNA microarray has a limited dynamic range and a problem of background hybridization, RNA sequencing (RNA-seq) has a broader dynamic range and a lower background signal that increase the sensitivity and reproducibility. While transcriptome analyses in rheumatoid arthritis (RA) have generally focused on whole peripheral blood mononuclear cells (PBMC), analyses of detailed cell subsets have an increased need for understanding the pathophysiology of disease because the involvement of CD4+ T cells in the pathogenesis of RA has been established. Transcriptome analysis of detailed CD4+ T cell subsets or neutrophils shed new light on the pathophysiology of RA. There are several analyses about the effect of biological treatment. Many studies report the association between type I interferon signature gene expression and response to therapy.http://link.springer.com/article/10.1186/s41232-018-0078-5Rheumatoid arthritisTranscriptome analysisRNA sequencing (RNA-seq)
spellingShingle Shuji Sumitomo
Yasuo Nagafuchi
Yumi Tsuchida
Haruka Tsuchiya
Mineto Ota
Kazuyoshi Ishigaki
Akari Suzuki
Yuta Kochi
Keishi Fujio
Kazuhiko Yamamoto
Transcriptome analysis of peripheral blood from patients with rheumatoid arthritis: a systematic review
Inflammation and Regeneration
Rheumatoid arthritis
Transcriptome analysis
RNA sequencing (RNA-seq)
title Transcriptome analysis of peripheral blood from patients with rheumatoid arthritis: a systematic review
title_full Transcriptome analysis of peripheral blood from patients with rheumatoid arthritis: a systematic review
title_fullStr Transcriptome analysis of peripheral blood from patients with rheumatoid arthritis: a systematic review
title_full_unstemmed Transcriptome analysis of peripheral blood from patients with rheumatoid arthritis: a systematic review
title_short Transcriptome analysis of peripheral blood from patients with rheumatoid arthritis: a systematic review
title_sort transcriptome analysis of peripheral blood from patients with rheumatoid arthritis a systematic review
topic Rheumatoid arthritis
Transcriptome analysis
RNA sequencing (RNA-seq)
url http://link.springer.com/article/10.1186/s41232-018-0078-5
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