Single-cell multiomics: technologies and data analysis methods

被引:0
|
作者
Jeongwoo Lee
Do Young Hyeon
Daehee Hwang
机构
[1] Seoul National University,School of Biological Sciences
来源
Experimental & Molecular Medicine | 2020年 / 52卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:1428 / 1442
页数:14
相关论文
共 50 条
  • [31] Statistical methods for analysis of single-cell RNA-sequencing data
    Das, Samarendra
    Rai, Shesh N.
    METHODSX, 2021, 8
  • [32] A review on integration methods for single-cell data
    Pan D.
    Li H.
    Liu H.
    Sun X.
    1600, West China Hospital, Sichuan Institute of Biomedical Engineering (38): : 1010 - 1017
  • [33] Single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma
    Long, Zhilin
    Sun, Chengfang
    Tang, Min
    Wang, Yin
    Ma, Jiayan
    Yu, Jichuan
    Wei, Jingchao
    Ma, Jianzhu
    Wang, Bohan
    Xie, Qi
    Wen, Jiaming
    CELL DISCOVERY, 2022, 8 (01)
  • [34] Development of single-cell multiomics toward the understanding cell heterogeneity
    Harada, Akihito
    Fujii, Takeru
    Ohkawa, Yasuyuki
    CANCER SCIENCE, 2025, 116 : 147 - 147
  • [35] Single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma
    Zhilin Long
    Chengfang Sun
    Min Tang
    Yin Wang
    Jiayan Ma
    Jichuan Yu
    Jingchao Wei
    Jianzhu Ma
    Bohan Wang
    Qi Xie
    Jiaming Wen
    Cell Discovery, 8
  • [36] Ursa: A Comprehensive Multiomics Toolbox for High-Throughput Single-Cell Analysis
    Pan, Lu
    Mou, Tian
    Huang, Yue
    Hong, Weifeng
    Yu, Min
    Li, Xuexin
    MOLECULAR BIOLOGY AND EVOLUTION, 2023, 40 (12)
  • [37] Single-Cell Multiomics Techniques: From Conception to Applications
    Dimitriu, Maria A.
    Lazar-Contes, Irina
    Roszkowski, Martin
    Mansuy, Isabelle M.
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2022, 10
  • [38] Completing the cancer jigsaw puzzle with single-cell multiomics
    Song Chen
    Sarah A. Teichmann
    Nature Cancer, 2021, 2 : 1260 - 1262
  • [39] Single-cell Multiomics Analysis of Myelodysplastic Syndromes and Clinical Response to Hypomethylating Therapy
    Campillo-Marcos, Ignacio
    Casado-Pelaez, Marta
    Davalos, Veronica
    Ferrer, Gerardo
    Mata, Caterina
    Mereu, Elisabetta
    Roue, Gael
    Valcarcel, David
    Molero, Antonieta
    Zamora, Lurdes
    Xicoy, Blanca
    Palomo, Laura
    Acha, Pamela
    Manzanares, Ana
    Tobiasson, Magnus
    Hellstrom-Lindberg, Eva
    Sole, Francesc
    Esteller, Manel
    CANCER RESEARCH COMMUNICATIONS, 2024, 4 (02): : 365 - 377
  • [40] Bibliometric and visual analysis of single-cell multiomics in neurodegenerative disease arrest studies
    Wang, Jieyan
    Wang, Shuqing
    Li, Qingyu
    Liu, Fei
    Wan, Yantong
    Liang, Hui
    FRONTIERS IN NEUROLOGY, 2024, 15