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Single-cell multiomics: technologies and data analysis methods

Experimental & Molecular Medicine 2020년 52권 9호 p.15 ~ 15
이정우, 현도영, 황대희,
소속 상세정보
이정우 ( Lee Jeong-Woo ) - Seoul National University School of Biological Sciences
현도영 ( Hyeon Do-Young ) - Seoul National University School of Biological Sciences
황대희 ( Hwang Dae-Hee ) - Seoul National University School of Biological Sciences

Abstract


Advances in single-cell isolation and barcoding technologies offer unprecedented opportunities to profile DNA, mRNA, and proteins at a single-cell resolution. Recently, bulk multiomics analyses, such as multidimensional genomic and proteogenomic analyses, have proven beneficial for obtaining a comprehensive understanding of cellular events. This benefit has facilitated the development of single-cell multiomics analysis, which enables cell type-specific gene regulation to be examined. The cardinal features of single-cell multiomics analysis include (1) technologies for single-cell isolation, barcoding, and sequencing to measure multiple types of molecules from individual cells and (2) the integrative analysis of molecules to characterize cell types and their functions regarding pathophysiological processes based on molecular signatures. Here, we summarize the technologies for single-cell multiomics analyses (mRNA-genome, mRNA-DNA methylation, mRNA-chromatin accessibility, and mRNA-protein) as well as the methods for the integrative analysis of single-cell multiomics data.

키워드

Data integration; Proteomics; Transcriptomics

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