Cited by 524Single-cell and spatial transcriptomicsGenomics and Chromatin DynamicsGenomics and Phylogenetic Studies

Single-cell multiomics: technologies and data analysis methods

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Lee, Jeongwoo, Hyeon, Do Young, Hwang, Daehee·2020·Experimental & Molecular Medicine

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.

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  • Current methods permit joint measurement of the genome, epigenome, transcriptome, proteome and additional omics layers within individual cells.

    “Methodological and technological advances now allow the simultaneous profiling of genome, epigenome, transcriptome, proteome and other (emerging) omics modalities in an effort to better understand biological mechanisms and genotype-to-phenotype relationships.”

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  1. [79]Todorov H., Cannoodt R., Saelens W., Saeys Y. in Gene Regulatory Networks: Methods and Protocols (eds Sanguinetti G & Huynh-Thu VA). (Springer New York, 2019).

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Authors
Lee, J., Hyeon, D. Y., & Hwang, D.
Affiliations
Seoul National University (KR)
Corresponding author
Hwang, Daehee
Venue
Experimental & Molecular Medicine
Published
2020-09
Volume
52
Issue
9
Pages
1428-1442
ISSN
  • 1226-3613 (ISSN-L)
  • 2092-6413
OpenAlex
W3087130263
Cited by
524
References
106
Citations by year
2026: 39 · 2025: 70 · 2024: 109 · 2023: 108 · 2022: 96 · 2021: 84 · 2020: 18
FWCI
7.54
Type
journal article
Language
en
Open access
Locations
  • Experimental & Molecular Medicine (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Research Foundation of Korea (NRF-2019M3A9B6066967, 2019R1A6A1A10073437)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
Keywords
single-cell multi-omics, single-cell isolation, single-cell barcoding, single-cell RNA sequencing, single-cell DNA methylation, single-cell chromatin accessibility, single-cell proteomics, cell type-specific gene regulation, molecular signatures
MeSH terms
Animals, Biotechnology, Humans, Organ Specificity, Computational Biology, Gene Expression Profiling, Genomics, Proteomics, Epigenomics, Single-Cell Analysis, Transcriptome

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