Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1783408731302658048 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6448829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT bonoragiancarlo dnamethylationestimationusingmethylationsensitiverestrictionenzymebisulfitesequencingmrebs AT rubbiliudmilla dnamethylationestimationusingmethylationsensitiverestrictionenzymebisulfitesequencingmrebs AT morsellimarco dnamethylationestimationusingmethylationsensitiverestrictionenzymebisulfitesequencingmrebs AT mafeiyang dnamethylationestimationusingmethylationsensitiverestrictionenzymebisulfitesequencingmrebs AT chronisconstantinos dnamethylationestimationusingmethylationsensitiverestrictionenzymebisulfitesequencingmrebs AT plathkathrin dnamethylationestimationusingmethylationsensitiverestrictionenzymebisulfitesequencingmrebs AT pellegrinimatteo dnamethylationestimationusingmethylationsensitiverestrictionenzymebisulfitesequencingmrebs |