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Single-cell multiomics: technologies and data analysis methods
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 compr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080692/ https://www.ncbi.nlm.nih.gov/pubmed/32929225 http://dx.doi.org/10.1038/s12276-020-0420-2 |
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author | Lee, Jeongwoo Hyeon, Do Young Hwang, Daehee |
author_facet | Lee, Jeongwoo Hyeon, Do Young Hwang, Daehee |
author_sort | Lee, Jeongwoo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8080692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80806922021-04-29 Single-cell multiomics: technologies and data analysis methods Lee, Jeongwoo Hyeon, Do Young Hwang, Daehee Exp Mol Med Review Article 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. Nature Publishing Group UK 2020-09-15 /pmc/articles/PMC8080692/ /pubmed/32929225 http://dx.doi.org/10.1038/s12276-020-0420-2 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article Lee, Jeongwoo Hyeon, Do Young Hwang, Daehee Single-cell multiomics: technologies and data analysis methods |
title | Single-cell multiomics: technologies and data analysis methods |
title_full | Single-cell multiomics: technologies and data analysis methods |
title_fullStr | Single-cell multiomics: technologies and data analysis methods |
title_full_unstemmed | Single-cell multiomics: technologies and data analysis methods |
title_short | Single-cell multiomics: technologies and data analysis methods |
title_sort | single-cell multiomics: technologies and data analysis methods |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080692/ https://www.ncbi.nlm.nih.gov/pubmed/32929225 http://dx.doi.org/10.1038/s12276-020-0420-2 |
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