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Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome
BACKGROUND: Transmission fidelity of CpG DNA methylation patterns is not foolproof, with error rates from less than 1 to well over 10 % per CpG site, dependent on preservation of the methylated or unmethylated state and the type of sequence. This suggests a fairly high chance of errors. However, the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934005/ https://www.ncbi.nlm.nih.gov/pubmed/27380908 http://dx.doi.org/10.1186/s13059-016-1011-3 |
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author | Gravina, Silvia Dong, Xiao Yu, Bo Vijg, Jan |
author_facet | Gravina, Silvia Dong, Xiao Yu, Bo Vijg, Jan |
author_sort | Gravina, Silvia |
collection | PubMed |
description | BACKGROUND: Transmission fidelity of CpG DNA methylation patterns is not foolproof, with error rates from less than 1 to well over 10 % per CpG site, dependent on preservation of the methylated or unmethylated state and the type of sequence. This suggests a fairly high chance of errors. However, the consequences of such errors in terms of cell-to-cell variation have never been demonstrated by experimentally measuring intra-tissue heterogeneity in an adult organism. RESULTS: We employ single-cell DNA methylomics to analyze heterogeneity of genome-wide 5-methylcytosine (5mC) patterns within mouse liver. Our results indicate a surprisingly high level of heterogeneity, corresponding to an average epivariation frequency of approximately 3.3 %, with regions containing H3K4me1 being the most variable and promoters and CpG islands the most stable. Our data also indicate that the level of 5mC heterogeneity is dependent on genomic features. We find that non-functional sites such as repeat elements and introns are mostly unstable and potentially functional sites such as gene promoters are mostly stable. CONCLUSIONS: By employing a protocol for whole-genome bisulfite sequencing of single cells, we show that the liver epigenome is highly unstable with an epivariation frequency in DNA methylation patterns of at least two orders of magnitude higher than somatic mutation frequencies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-1011-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4934005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49340052016-07-07 Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome Gravina, Silvia Dong, Xiao Yu, Bo Vijg, Jan Genome Biol Research BACKGROUND: Transmission fidelity of CpG DNA methylation patterns is not foolproof, with error rates from less than 1 to well over 10 % per CpG site, dependent on preservation of the methylated or unmethylated state and the type of sequence. This suggests a fairly high chance of errors. However, the consequences of such errors in terms of cell-to-cell variation have never been demonstrated by experimentally measuring intra-tissue heterogeneity in an adult organism. RESULTS: We employ single-cell DNA methylomics to analyze heterogeneity of genome-wide 5-methylcytosine (5mC) patterns within mouse liver. Our results indicate a surprisingly high level of heterogeneity, corresponding to an average epivariation frequency of approximately 3.3 %, with regions containing H3K4me1 being the most variable and promoters and CpG islands the most stable. Our data also indicate that the level of 5mC heterogeneity is dependent on genomic features. We find that non-functional sites such as repeat elements and introns are mostly unstable and potentially functional sites such as gene promoters are mostly stable. CONCLUSIONS: By employing a protocol for whole-genome bisulfite sequencing of single cells, we show that the liver epigenome is highly unstable with an epivariation frequency in DNA methylation patterns of at least two orders of magnitude higher than somatic mutation frequencies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-1011-3) contains supplementary material, which is available to authorized users. BioMed Central 2016-07-05 /pmc/articles/PMC4934005/ /pubmed/27380908 http://dx.doi.org/10.1186/s13059-016-1011-3 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Gravina, Silvia Dong, Xiao Yu, Bo Vijg, Jan Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome |
title | Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome |
title_full | Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome |
title_fullStr | Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome |
title_full_unstemmed | Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome |
title_short | Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome |
title_sort | single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934005/ https://www.ncbi.nlm.nih.gov/pubmed/27380908 http://dx.doi.org/10.1186/s13059-016-1011-3 |
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