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Single-molecule long-read sequencing reveals the chromatin basis of gene expression

Genome-wide chromatin accessibility and nucleosome occupancy profiles have been widely investigated, while the long-range dynamics remain poorly studied at the single-cell level. Here, we present a new experimental approach, methyltransferase treatment followed by single-molecule long-read sequencin...

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Autores principales: Wang, Yunhao, Wang, Anqi, Liu, Zujun, Thurman, Andrew L., Powers, Linda S., Zou, Meng, Zhao, Yue, Hefel, Adam, Li, Yunyi, Zabner, Joseph, Au, Kin Fai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6673713/
https://www.ncbi.nlm.nih.gov/pubmed/31201211
http://dx.doi.org/10.1101/gr.251116.119
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author Wang, Yunhao
Wang, Anqi
Liu, Zujun
Thurman, Andrew L.
Powers, Linda S.
Zou, Meng
Zhao, Yue
Hefel, Adam
Li, Yunyi
Zabner, Joseph
Au, Kin Fai
author_facet Wang, Yunhao
Wang, Anqi
Liu, Zujun
Thurman, Andrew L.
Powers, Linda S.
Zou, Meng
Zhao, Yue
Hefel, Adam
Li, Yunyi
Zabner, Joseph
Au, Kin Fai
author_sort Wang, Yunhao
collection PubMed
description Genome-wide chromatin accessibility and nucleosome occupancy profiles have been widely investigated, while the long-range dynamics remain poorly studied at the single-cell level. Here, we present a new experimental approach, methyltransferase treatment followed by single-molecule long-read sequencing (MeSMLR-seq), for long-range mapping of nucleosomes and chromatin accessibility at single DNA molecules and thus achieve comprehensive-coverage characterization of the corresponding heterogeneity. MeSMLR-seq offers direct measurements of both nucleosome-occupied and nucleosome-evicted regions on a single DNA molecule, which is challenging for many existing methods. We applied MeSMLR-seq to haploid yeast, where single DNA molecules represent single cells, and thus we could investigate the combinatorics of many (up to 356) nucleosomes at long range in single cells. We illustrated the differential organization principles of nucleosomes surrounding the transcription start site for silent and actively transcribed genes, at the single-cell level and in the long-range scale. The heterogeneous patterns of chromatin status spanning multiple genes were phased. Together with single-cell RNA-seq data, we quantitatively revealed how chromatin accessibility correlated with gene transcription positively in a highly heterogeneous scenario. Moreover, we quantified the openness of promoters and investigated the coupled chromatin changes of adjacent genes at single DNA molecules during transcription reprogramming. In addition, we revealed the coupled changes of chromatin accessibility for two neighboring glucose transporter genes in response to changes in glucose concentration.
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spelling pubmed-66737132019-08-14 Single-molecule long-read sequencing reveals the chromatin basis of gene expression Wang, Yunhao Wang, Anqi Liu, Zujun Thurman, Andrew L. Powers, Linda S. Zou, Meng Zhao, Yue Hefel, Adam Li, Yunyi Zabner, Joseph Au, Kin Fai Genome Res Method Genome-wide chromatin accessibility and nucleosome occupancy profiles have been widely investigated, while the long-range dynamics remain poorly studied at the single-cell level. Here, we present a new experimental approach, methyltransferase treatment followed by single-molecule long-read sequencing (MeSMLR-seq), for long-range mapping of nucleosomes and chromatin accessibility at single DNA molecules and thus achieve comprehensive-coverage characterization of the corresponding heterogeneity. MeSMLR-seq offers direct measurements of both nucleosome-occupied and nucleosome-evicted regions on a single DNA molecule, which is challenging for many existing methods. We applied MeSMLR-seq to haploid yeast, where single DNA molecules represent single cells, and thus we could investigate the combinatorics of many (up to 356) nucleosomes at long range in single cells. We illustrated the differential organization principles of nucleosomes surrounding the transcription start site for silent and actively transcribed genes, at the single-cell level and in the long-range scale. The heterogeneous patterns of chromatin status spanning multiple genes were phased. Together with single-cell RNA-seq data, we quantitatively revealed how chromatin accessibility correlated with gene transcription positively in a highly heterogeneous scenario. Moreover, we quantified the openness of promoters and investigated the coupled chromatin changes of adjacent genes at single DNA molecules during transcription reprogramming. In addition, we revealed the coupled changes of chromatin accessibility for two neighboring glucose transporter genes in response to changes in glucose concentration. Cold Spring Harbor Laboratory Press 2019-08 /pmc/articles/PMC6673713/ /pubmed/31201211 http://dx.doi.org/10.1101/gr.251116.119 Text en © 2019 Wang et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by/4.0/ This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/.
spellingShingle Method
Wang, Yunhao
Wang, Anqi
Liu, Zujun
Thurman, Andrew L.
Powers, Linda S.
Zou, Meng
Zhao, Yue
Hefel, Adam
Li, Yunyi
Zabner, Joseph
Au, Kin Fai
Single-molecule long-read sequencing reveals the chromatin basis of gene expression
title Single-molecule long-read sequencing reveals the chromatin basis of gene expression
title_full Single-molecule long-read sequencing reveals the chromatin basis of gene expression
title_fullStr Single-molecule long-read sequencing reveals the chromatin basis of gene expression
title_full_unstemmed Single-molecule long-read sequencing reveals the chromatin basis of gene expression
title_short Single-molecule long-read sequencing reveals the chromatin basis of gene expression
title_sort single-molecule long-read sequencing reveals the chromatin basis of gene expression
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6673713/
https://www.ncbi.nlm.nih.gov/pubmed/31201211
http://dx.doi.org/10.1101/gr.251116.119
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