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DNA methylation estimation using methylation-sensitive restriction enzyme bisulfite sequencing (MREBS)

Whole-genome bisulfite sequencing (WGBS) and reduced representation bisulfite sequencing (RRBS) are widely used for measuring DNA methylation levels on a genome-wide scale. Both methods have limitations: WGBS is expensive and prohibitive for most large-scale projects; RRBS only interrogates 6–12% of...

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Autores principales: Bonora, Giancarlo, Rubbi, Liudmilla, Morselli, Marco, Ma, Feiyang, Chronis, Constantinos, Plath, Kathrin, Pellegrini, Matteo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6448829/
https://www.ncbi.nlm.nih.gov/pubmed/30946758
http://dx.doi.org/10.1371/journal.pone.0214368
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author Bonora, Giancarlo
Rubbi, Liudmilla
Morselli, Marco
Ma, Feiyang
Chronis, Constantinos
Plath, Kathrin
Pellegrini, Matteo
author_facet Bonora, Giancarlo
Rubbi, Liudmilla
Morselli, Marco
Ma, Feiyang
Chronis, Constantinos
Plath, Kathrin
Pellegrini, Matteo
author_sort Bonora, Giancarlo
collection PubMed
description Whole-genome bisulfite sequencing (WGBS) and reduced representation bisulfite sequencing (RRBS) are widely used for measuring DNA methylation levels on a genome-wide scale. Both methods have limitations: WGBS is expensive and prohibitive for most large-scale projects; RRBS only interrogates 6–12% of the CpGs in the human genome. Here, we introduce methylation-sensitive restriction enzyme bisulfite sequencing (MREBS) which has the reduced sequencing requirements of RRBS, but significantly expands the coverage of CpG sites in the genome. We built a multiple regression model that combines the two features of MREBS: the bisulfite conversion ratios of single cytosines (as in WGBS and RRBS) as well as the number of reads that cover each locus (as in MRE-seq). This combined approach allowed us to estimate differential methylation across 60% of the genome using read count data alone, and where counts were sufficiently high in both samples (about 1.5% of the genome), our estimates were significantly improved by the single CpG conversion information. We show that differential DNA methylation values based on MREBS data correlate well with those based on WGBS and RRBS. This newly developed technique combines the sequencing cost of RRBS and DNA methylation estimates on a portion of the genome similar to WGBS, making it ideal for large-scale projects of mammalian genomes.
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spelling pubmed-64488292019-04-19 DNA methylation estimation using methylation-sensitive restriction enzyme bisulfite sequencing (MREBS) Bonora, Giancarlo Rubbi, Liudmilla Morselli, Marco Ma, Feiyang Chronis, Constantinos Plath, Kathrin Pellegrini, Matteo PLoS One Research Article Whole-genome bisulfite sequencing (WGBS) and reduced representation bisulfite sequencing (RRBS) are widely used for measuring DNA methylation levels on a genome-wide scale. Both methods have limitations: WGBS is expensive and prohibitive for most large-scale projects; RRBS only interrogates 6–12% of the CpGs in the human genome. Here, we introduce methylation-sensitive restriction enzyme bisulfite sequencing (MREBS) which has the reduced sequencing requirements of RRBS, but significantly expands the coverage of CpG sites in the genome. We built a multiple regression model that combines the two features of MREBS: the bisulfite conversion ratios of single cytosines (as in WGBS and RRBS) as well as the number of reads that cover each locus (as in MRE-seq). This combined approach allowed us to estimate differential methylation across 60% of the genome using read count data alone, and where counts were sufficiently high in both samples (about 1.5% of the genome), our estimates were significantly improved by the single CpG conversion information. We show that differential DNA methylation values based on MREBS data correlate well with those based on WGBS and RRBS. This newly developed technique combines the sequencing cost of RRBS and DNA methylation estimates on a portion of the genome similar to WGBS, making it ideal for large-scale projects of mammalian genomes. Public Library of Science 2019-04-04 /pmc/articles/PMC6448829/ /pubmed/30946758 http://dx.doi.org/10.1371/journal.pone.0214368 Text en © 2019 Bonora et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bonora, Giancarlo
Rubbi, Liudmilla
Morselli, Marco
Ma, Feiyang
Chronis, Constantinos
Plath, Kathrin
Pellegrini, Matteo
DNA methylation estimation using methylation-sensitive restriction enzyme bisulfite sequencing (MREBS)
title DNA methylation estimation using methylation-sensitive restriction enzyme bisulfite sequencing (MREBS)
title_full DNA methylation estimation using methylation-sensitive restriction enzyme bisulfite sequencing (MREBS)
title_fullStr DNA methylation estimation using methylation-sensitive restriction enzyme bisulfite sequencing (MREBS)
title_full_unstemmed DNA methylation estimation using methylation-sensitive restriction enzyme bisulfite sequencing (MREBS)
title_short DNA methylation estimation using methylation-sensitive restriction enzyme bisulfite sequencing (MREBS)
title_sort dna methylation estimation using methylation-sensitive restriction enzyme bisulfite sequencing (mrebs)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6448829/
https://www.ncbi.nlm.nih.gov/pubmed/30946758
http://dx.doi.org/10.1371/journal.pone.0214368
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