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Single Cell Multi-Omics Technology: Methodology and Application
In the era of precision medicine, multi-omics approaches enable the integration of data from diverse omics platforms, providing multi-faceted insight into the interrelation of these omics layers on disease processes. Single cell sequencing technology can dissect the genotypic and phenotypic heteroge...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5919954/ https://www.ncbi.nlm.nih.gov/pubmed/29732369 http://dx.doi.org/10.3389/fcell.2018.00028 |
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author | Hu, Youjin An, Qin Sheu, Katherine Trejo, Brandon Fan, Shuxin Guo, Ying |
author_facet | Hu, Youjin An, Qin Sheu, Katherine Trejo, Brandon Fan, Shuxin Guo, Ying |
author_sort | Hu, Youjin |
collection | PubMed |
description | In the era of precision medicine, multi-omics approaches enable the integration of data from diverse omics platforms, providing multi-faceted insight into the interrelation of these omics layers on disease processes. Single cell sequencing technology can dissect the genotypic and phenotypic heterogeneity of bulk tissue and promises to deepen our understanding of the underlying mechanisms governing both health and disease. Through modification and combination of single cell assays available for transcriptome, genome, epigenome, and proteome profiling, single cell multi-omics approaches have been developed to simultaneously and comprehensively study not only the unique genotypic and phenotypic characteristics of single cells, but also the combined regulatory mechanisms evident only at single cell resolution. In this review, we summarize the state-of-the-art single cell multi-omics methods and discuss their applications, challenges, and future directions. |
format | Online Article Text |
id | pubmed-5919954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59199542018-05-04 Single Cell Multi-Omics Technology: Methodology and Application Hu, Youjin An, Qin Sheu, Katherine Trejo, Brandon Fan, Shuxin Guo, Ying Front Cell Dev Biol Cell and Developmental Biology In the era of precision medicine, multi-omics approaches enable the integration of data from diverse omics platforms, providing multi-faceted insight into the interrelation of these omics layers on disease processes. Single cell sequencing technology can dissect the genotypic and phenotypic heterogeneity of bulk tissue and promises to deepen our understanding of the underlying mechanisms governing both health and disease. Through modification and combination of single cell assays available for transcriptome, genome, epigenome, and proteome profiling, single cell multi-omics approaches have been developed to simultaneously and comprehensively study not only the unique genotypic and phenotypic characteristics of single cells, but also the combined regulatory mechanisms evident only at single cell resolution. In this review, we summarize the state-of-the-art single cell multi-omics methods and discuss their applications, challenges, and future directions. Frontiers Media S.A. 2018-04-20 /pmc/articles/PMC5919954/ /pubmed/29732369 http://dx.doi.org/10.3389/fcell.2018.00028 Text en Copyright © 2018 Hu, An, Sheu, Trejo, Fan and Guo. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cell and Developmental Biology Hu, Youjin An, Qin Sheu, Katherine Trejo, Brandon Fan, Shuxin Guo, Ying Single Cell Multi-Omics Technology: Methodology and Application |
title | Single Cell Multi-Omics Technology: Methodology and Application |
title_full | Single Cell Multi-Omics Technology: Methodology and Application |
title_fullStr | Single Cell Multi-Omics Technology: Methodology and Application |
title_full_unstemmed | Single Cell Multi-Omics Technology: Methodology and Application |
title_short | Single Cell Multi-Omics Technology: Methodology and Application |
title_sort | single cell multi-omics technology: methodology and application |
topic | Cell and Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5919954/ https://www.ncbi.nlm.nih.gov/pubmed/29732369 http://dx.doi.org/10.3389/fcell.2018.00028 |
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