Single-cell multiomics: technologies and data analysis methods
Open accessAbstract
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.”
From The technological landscape and applications of single-cell multi-omics (2023) · cites this paper as [1]
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Flagged first, then by citations
Research works printed but not linked: 1
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“Currently, spatial transcriptomics [9] and single-cell multi-omics [10] are being increasingly used.”
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Computational methods for single-cell multi-omics integration and alignment
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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
- PMC
- PMC8080692
- 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
- gold
- doi.org
- Licence
- 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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