Single-cell multiomics: technologies and data analysis methods.
Single-cell multiomics: technologies and data analysis methods.
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单细胞多组学：技术与数据分析方法
DOI：
10.1038/s12276-020-0420-2
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发表时间：
2020-09
影响因子：
12.8
通讯作者：
Hwang D
中科院分区：
文献类型：
--
作者：
Lee J;Hyeon DY;Hwang D
单细胞分离和条形码技术的进步为以单细胞分辨率分析DNA、mRNA和蛋白质提供了前所未有的机会。最近，大量的多组学分析，如多维基因组和蛋白质组分析，已被证明有助于全面了解细胞事件。这一优点促进了单细胞多组学分析的发展，使研究特定细胞类型的基因调控成为可能。单细胞多组学分析的基本特征包括(1)单细胞分离、条形码和测序技术，以测量单个细胞中的多种类型的分子；(2)基于分子特征的分子综合分析，以表征细胞类型及其与病理生理过程有关的功能。在这里，我们总结了单细胞多组学分析的技术(mRNA-基因组、mRNA-DNA甲基化、mRNA-染色质可及性和mRNA-蛋白质)以及单细胞多组学数据的综合分析方法。单细胞图谱技术的扩展将为疾病内在的分子机制提供前所未有的见解。统称为“单细胞多重组学”的新技术能够系统地、高分辨率地分析单个细胞中的DNA、RNA和蛋白质。这提供了关于疾病发生和发展过程中的基因调控和分子种群以及细胞过程的有价值的数据。韩国首尔国立大学的Daehee Hwang和他的同事回顾了现有的单细胞多组学技术，并强调了整合产生的数据的方法。多重组学的分析特征使科学家能够分离、测序和标记(或条形码)单个细胞中的多个分子。不同的测序技术可以用于不同的目的，例如探索基因突变覆盖率或测量RNA转录本。结合这些测序数据将有助于确定疾病期间重要特征之间的联系。
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. The expansion of single-cell profiling technologies will provide unprecedented insights into the molecular mechanisms inherent in disease. Novel technologies known collectively as ‘single-cell multiomics’ enable systematic, high-resolution profiling of DNA, RNA and proteins in individual cells. This provides valuable data about gene regulation and molecular populations, and cellular processes during disease development and progression. Daehee Hwang and co-workers at Seoul National University, Seoul, South Korea, reviewed existing single-cell multiomics technologies and highlighted ways to integrate the data generated. Analytical features of multiomics allow scientists to isolate, sequence and label (or ‘barcode’) multiple molecules in single cells. Different sequencing techniques can be used for different purposes, such as exploring gene mutation coverage or measuring RNA transcripts. Combining these sequencing data will help identify links between significant features during disease.
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影响因子：
48
作者：
Dong X;Zhang L;Milholland B;Lee M;Maslov AY;Wang T;Vijg J
通讯作者：
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影响因子：
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作者：
Gerlach, Jan P.;van Buggenum, Jessie A. G.;Mulder, Klaas W.
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Mulder, Klaas W.
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Reik W
单细胞染色质可及性揭示了调节变化的原理。
影响因子：
64.8
作者：
Buenrostro JD;Wu B;Litzenburger UM;Ruff D;Gonzales ML;Snyder MP;Chang HY;Greenleaf WJ
通讯作者：
Greenleaf WJ
影响因子：
48
作者：
Garvin T;Aboukhalil R;Kendall J;Baslan T;Atwal GS;Hicks J;Wigler M;Schatz MC
通讯作者：
Schatz MC