Transcriptomics in Kawasaki Disease

Tai Ming Ko*, Jan Vincent Beltran, Jou Yu Huang


研究成果: Chapter同行評審


Transcriptomics is the high-throughput characterization of RNA. It has played an important role in defining the pathogenic characteristics of Kawasaki disease. It has aided in clarifying Kawasaki disease etiology and identifying its key mediators, which will further help to compensate for the limitations of existing intravenous immunoglobulin treatments. In addition, transcriptomics is being used for immune monitoring, diagnostic and prognostic biomarker identification. These features can be applied in stratifying patients, monitoring molecular changes related to disease severity, defining personalized treatment strategies, as well as providing clinical evidence. This chapter discusses the progress of transcriptomics in determining Kawasaki disease etiology and pathogenesis and developing diagnostic and predictive biomarkers. We also explore some analytical methods for extracting valuable information from high-dimensional datasets to improve our biological knowledge. Lastly, we discuss the emerging technology of transcriptomics in the study of the diversity of expression quantitative trait loci, B-cell and T-cell receptor repertoires, and assessment of Kawasaki disease heterogeneity using high-throughput single-cell sequencing.

主出版物標題Kawasaki Disease
發行者Springer Nature
出版狀態Published - 1 1月 2022


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