Unraveling Heterogeneity in Transcriptome and Its Regulation Through Single-Cell Multi-Omics Technologies
Cellular heterogeneity plays a pivotal role in tissue homeostasis and the disease development of multicellular organisms. To deconstruct the heterogeneity, a multitude of single-cell toolkits measuring various cellular contents, including genome, transcriptome, epigenome, and proteome, have been dev...
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Language: | English |
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Frontiers Media S.A.
2020-07-01
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Series: | Frontiers in Genetics |
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Online Access: | https://www.frontiersin.org/article/10.3389/fgene.2020.00662/full |
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author | Qiao Rui Xing Qiao Rui Xing Nadia Omega Cipta Nadia Omega Cipta Kiyofumi Hamashima Yih-Cherng Liou Cheng Gee Koh Yuin-Han Loh Yuin-Han Loh Yuin-Han Loh Yuin-Han Loh |
author_facet | Qiao Rui Xing Qiao Rui Xing Nadia Omega Cipta Nadia Omega Cipta Kiyofumi Hamashima Yih-Cherng Liou Cheng Gee Koh Yuin-Han Loh Yuin-Han Loh Yuin-Han Loh Yuin-Han Loh |
author_sort | Qiao Rui Xing |
collection | DOAJ |
description | Cellular heterogeneity plays a pivotal role in tissue homeostasis and the disease development of multicellular organisms. To deconstruct the heterogeneity, a multitude of single-cell toolkits measuring various cellular contents, including genome, transcriptome, epigenome, and proteome, have been developed. More recently, multi-omics single-cell techniques enable the capture of molecular footprints with a higher resolution by simultaneously profiling various cellular contents within an individual cell. Integrative analysis of multi-omics datasets unravels the relationships between cellular modalities, builds sophisticated regulatory networks, and provides a holistic view of the cell state. In this review, we summarize the major developments in the single-cell field and review the current state-of-the-art single-cell multi-omic techniques and the bioinformatic tools for integrative analysis. |
first_indexed | 2024-12-23T10:01:20Z |
format | Article |
id | doaj.art-a8b585fc12724a8883a28e630d766f71 |
institution | Directory Open Access Journal |
issn | 1664-8021 |
language | English |
last_indexed | 2024-12-23T10:01:20Z |
publishDate | 2020-07-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Genetics |
spelling | doaj.art-a8b585fc12724a8883a28e630d766f712022-12-21T17:51:13ZengFrontiers Media S.A.Frontiers in Genetics1664-80212020-07-011110.3389/fgene.2020.00662545138Unraveling Heterogeneity in Transcriptome and Its Regulation Through Single-Cell Multi-Omics TechnologiesQiao Rui Xing0Qiao Rui Xing1Nadia Omega Cipta2Nadia Omega Cipta3Kiyofumi Hamashima4Yih-Cherng Liou5Cheng Gee Koh6Yuin-Han Loh7Yuin-Han Loh8Yuin-Han Loh9Yuin-Han Loh10Epigenetics and Cell Fates Laboratory, Institute of Molecular and Cell Biology, A∗STAR, Singapore, SingaporeSchool of Biological Sciences, Nanyang Technological University, Singapore, SingaporeEpigenetics and Cell Fates Laboratory, Institute of Molecular and Cell Biology, A∗STAR, Singapore, SingaporeDepartment of Biological Sciences, National University of Singapore, Singapore, SingaporeEpigenetics and Cell Fates Laboratory, Institute of Molecular and Cell Biology, A∗STAR, Singapore, SingaporeDepartment of Biological Sciences, National University of Singapore, Singapore, SingaporeSchool of Biological Sciences, Nanyang Technological University, Singapore, SingaporeEpigenetics and Cell Fates Laboratory, Institute of Molecular and Cell Biology, A∗STAR, Singapore, SingaporeDepartment of Biological Sciences, National University of Singapore, Singapore, SingaporeNUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, SingaporeDepartment of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, SingaporeCellular heterogeneity plays a pivotal role in tissue homeostasis and the disease development of multicellular organisms. To deconstruct the heterogeneity, a multitude of single-cell toolkits measuring various cellular contents, including genome, transcriptome, epigenome, and proteome, have been developed. More recently, multi-omics single-cell techniques enable the capture of molecular footprints with a higher resolution by simultaneously profiling various cellular contents within an individual cell. Integrative analysis of multi-omics datasets unravels the relationships between cellular modalities, builds sophisticated regulatory networks, and provides a holistic view of the cell state. In this review, we summarize the major developments in the single-cell field and review the current state-of-the-art single-cell multi-omic techniques and the bioinformatic tools for integrative analysis.https://www.frontiersin.org/article/10.3389/fgene.2020.00662/fullmultimodal single-cell techniquesspatial transcriptometranscriptomechromatin accessibilityintegrative analysis |
spellingShingle | Qiao Rui Xing Qiao Rui Xing Nadia Omega Cipta Nadia Omega Cipta Kiyofumi Hamashima Yih-Cherng Liou Cheng Gee Koh Yuin-Han Loh Yuin-Han Loh Yuin-Han Loh Yuin-Han Loh Unraveling Heterogeneity in Transcriptome and Its Regulation Through Single-Cell Multi-Omics Technologies Frontiers in Genetics multimodal single-cell techniques spatial transcriptome transcriptome chromatin accessibility integrative analysis |
title | Unraveling Heterogeneity in Transcriptome and Its Regulation Through Single-Cell Multi-Omics Technologies |
title_full | Unraveling Heterogeneity in Transcriptome and Its Regulation Through Single-Cell Multi-Omics Technologies |
title_fullStr | Unraveling Heterogeneity in Transcriptome and Its Regulation Through Single-Cell Multi-Omics Technologies |
title_full_unstemmed | Unraveling Heterogeneity in Transcriptome and Its Regulation Through Single-Cell Multi-Omics Technologies |
title_short | Unraveling Heterogeneity in Transcriptome and Its Regulation Through Single-Cell Multi-Omics Technologies |
title_sort | unraveling heterogeneity in transcriptome and its regulation through single cell multi omics technologies |
topic | multimodal single-cell techniques spatial transcriptome transcriptome chromatin accessibility integrative analysis |
url | https://www.frontiersin.org/article/10.3389/fgene.2020.00662/full |
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