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Profiling Chromatin Accessibility at Single-cell Resolution
How distinct transcriptional programs are enacted to generate cellular heterogeneity and plasticity, and enable complex fate decisions are important open questions. One key regulator is the cell’s epigenome state that drives distinct transcriptional programs by regulating chromatin accessibility. Ge...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602754/ https://www.ncbi.nlm.nih.gov/pubmed/33581341 http://dx.doi.org/10.1016/j.gpb.2020.06.010 |
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author | Sinha, Sarthak Satpathy, Ansuman T. Zhou, Weiqiang Ji, Hongkai Stratton, Jo A. Jaffer, Arzina Bahlis, Nizar Morrissy, Sorana Biernaskie, Jeff A. |
author_facet | Sinha, Sarthak Satpathy, Ansuman T. Zhou, Weiqiang Ji, Hongkai Stratton, Jo A. Jaffer, Arzina Bahlis, Nizar Morrissy, Sorana Biernaskie, Jeff A. |
author_sort | Sinha, Sarthak |
collection | PubMed |
description | How distinct transcriptional programs are enacted to generate cellular heterogeneity and plasticity, and enable complex fate decisions are important open questions. One key regulator is the cell’s epigenome state that drives distinct transcriptional programs by regulating chromatin accessibility. Genome-wide chromatin accessibility measurements can impart insights into regulatory sequences (in)accessible to DNA-binding proteins at a single-cell resolution. This review outlines molecular methods and bioinformatic tools for capturing cell-to-cell chromatin variation using single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) in a scalable fashion. It also covers joint profiling of chromatin with transcriptome/proteome measurements, computational strategies to integrate multi-omic measurements, and predictive bioinformatic tools to infer chromatin accessibility from single-cell transcriptomic datasets. Methodological refinements that increase power for cell discovery through robust chromatin coverage and integrate measurements from multiple modalities will further expand our understanding of gene regulation during homeostasis and disease. |
format | Online Article Text |
id | pubmed-8602754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-86027542021-11-24 Profiling Chromatin Accessibility at Single-cell Resolution Sinha, Sarthak Satpathy, Ansuman T. Zhou, Weiqiang Ji, Hongkai Stratton, Jo A. Jaffer, Arzina Bahlis, Nizar Morrissy, Sorana Biernaskie, Jeff A. Genomics Proteomics Bioinformatics Review How distinct transcriptional programs are enacted to generate cellular heterogeneity and plasticity, and enable complex fate decisions are important open questions. One key regulator is the cell’s epigenome state that drives distinct transcriptional programs by regulating chromatin accessibility. Genome-wide chromatin accessibility measurements can impart insights into regulatory sequences (in)accessible to DNA-binding proteins at a single-cell resolution. This review outlines molecular methods and bioinformatic tools for capturing cell-to-cell chromatin variation using single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) in a scalable fashion. It also covers joint profiling of chromatin with transcriptome/proteome measurements, computational strategies to integrate multi-omic measurements, and predictive bioinformatic tools to infer chromatin accessibility from single-cell transcriptomic datasets. Methodological refinements that increase power for cell discovery through robust chromatin coverage and integrate measurements from multiple modalities will further expand our understanding of gene regulation during homeostasis and disease. Elsevier 2021-04 2021-02-11 /pmc/articles/PMC8602754/ /pubmed/33581341 http://dx.doi.org/10.1016/j.gpb.2020.06.010 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Sinha, Sarthak Satpathy, Ansuman T. Zhou, Weiqiang Ji, Hongkai Stratton, Jo A. Jaffer, Arzina Bahlis, Nizar Morrissy, Sorana Biernaskie, Jeff A. Profiling Chromatin Accessibility at Single-cell Resolution |
title | Profiling Chromatin Accessibility at Single-cell Resolution |
title_full | Profiling Chromatin Accessibility at Single-cell Resolution |
title_fullStr | Profiling Chromatin Accessibility at Single-cell Resolution |
title_full_unstemmed | Profiling Chromatin Accessibility at Single-cell Resolution |
title_short | Profiling Chromatin Accessibility at Single-cell Resolution |
title_sort | profiling chromatin accessibility at single-cell resolution |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602754/ https://www.ncbi.nlm.nih.gov/pubmed/33581341 http://dx.doi.org/10.1016/j.gpb.2020.06.010 |
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