Sumitomo Shuji, Nagafuchi Yasuo, Tsuchida Yumi, Tsuchiya Haruka, Ota Mineto, Ishigaki Kazuyoshi, Suzuki Akari, Kochi Yuta, Fujio Keishi, Yamamoto Kazuhiko
1Department of Allergy and Rheumatology, Graduate School of Medicine, the University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655 Japan.
2Laboratory for Statistical Analysis, Center for Integrative Medical Sciences, the Institute of Physical and Chemical Research (RIKEN), 1-7-22 Suehirocho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045 Japan.
Inflamm Regen. 2018 Nov 5;38:21. doi: 10.1186/s41232-018-0078-5. eCollection 2018.
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.
在精准医学时代,全基因表达的转录组分析是一项重要技术。虽然DNA微阵列的动态范围有限且存在背景杂交问题,但RNA测序(RNA-seq)具有更宽的动态范围和更低的背景信号,从而提高了灵敏度和可重复性。虽然类风湿关节炎(RA)的转录组分析通常集中在全外周血单个核细胞(PBMC)上,但由于已证实CD4 T细胞参与RA的发病机制,因此对详细细胞亚群的分析对于理解疾病的病理生理学的需求日益增加。详细的CD4 T细胞亚群或中性粒细胞的转录组分析为RA的病理生理学提供了新的线索。关于生物治疗的效果有多项分析。许多研究报告了I型干扰素特征基因表达与治疗反应之间的关联。