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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Main Authors: Qiao Rui Xing, Nadia Omega Cipta, Kiyofumi Hamashima, Yih-Cherng Liou, Cheng Gee Koh, Yuin-Han Loh
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Genetics
Subjects:
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.
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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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