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NOMePlot: analysis of DNA methylation and nucleosome occupancy at the single molecule

Recent technical advances highlight that to understand mammalian development and human disease we need to consider transcriptional and epigenetic cell-to-cell differences within cell populations. This is particularly important in key areas of biomedicine like stem cell differentiation and intratumor...

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Autores principales: Requena, Francisco, Asenjo, Helena G., Barturen, Guillermo, Martorell-Marugán, Jordi, Carmona-Sáez, Pedro, Landeira, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544651/
https://www.ncbi.nlm.nih.gov/pubmed/31148571
http://dx.doi.org/10.1038/s41598-019-44597-2
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author Requena, Francisco
Asenjo, Helena G.
Barturen, Guillermo
Martorell-Marugán, Jordi
Carmona-Sáez, Pedro
Landeira, David
author_facet Requena, Francisco
Asenjo, Helena G.
Barturen, Guillermo
Martorell-Marugán, Jordi
Carmona-Sáez, Pedro
Landeira, David
author_sort Requena, Francisco
collection PubMed
description Recent technical advances highlight that to understand mammalian development and human disease we need to consider transcriptional and epigenetic cell-to-cell differences within cell populations. This is particularly important in key areas of biomedicine like stem cell differentiation and intratumor heterogeneity. The recently developed nucleosome occupancy and methylome (NOMe) assay facilitates the simultaneous study of DNA methylation and nucleosome positioning on the same DNA strand. NOMe-treated DNA can be sequenced by sanger (NOMe-PCR) or high throughput approaches (NOMe-seq). NOMe-PCR provides information for a single locus at the single molecule while NOMe-seq delivers genome-wide data that is usually interrogated to obtain population-averaged measures. Here, we have developed a bioinformatic tool that allow us to easily obtain locus-specific information at the single molecule using genome-wide NOMe-seq datasets obtained from bulk populations. We have used NOMePlot to study mouse embryonic stem cells and found that polycomb-repressed bivalent gene promoters coexist in two different epigenetic states, as defined by the nucleosome binding pattern detected around their transcriptional start site.
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spelling pubmed-65446512019-06-09 NOMePlot: analysis of DNA methylation and nucleosome occupancy at the single molecule Requena, Francisco Asenjo, Helena G. Barturen, Guillermo Martorell-Marugán, Jordi Carmona-Sáez, Pedro Landeira, David Sci Rep Article Recent technical advances highlight that to understand mammalian development and human disease we need to consider transcriptional and epigenetic cell-to-cell differences within cell populations. This is particularly important in key areas of biomedicine like stem cell differentiation and intratumor heterogeneity. The recently developed nucleosome occupancy and methylome (NOMe) assay facilitates the simultaneous study of DNA methylation and nucleosome positioning on the same DNA strand. NOMe-treated DNA can be sequenced by sanger (NOMe-PCR) or high throughput approaches (NOMe-seq). NOMe-PCR provides information for a single locus at the single molecule while NOMe-seq delivers genome-wide data that is usually interrogated to obtain population-averaged measures. Here, we have developed a bioinformatic tool that allow us to easily obtain locus-specific information at the single molecule using genome-wide NOMe-seq datasets obtained from bulk populations. We have used NOMePlot to study mouse embryonic stem cells and found that polycomb-repressed bivalent gene promoters coexist in two different epigenetic states, as defined by the nucleosome binding pattern detected around their transcriptional start site. Nature Publishing Group UK 2019-05-31 /pmc/articles/PMC6544651/ /pubmed/31148571 http://dx.doi.org/10.1038/s41598-019-44597-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Requena, Francisco
Asenjo, Helena G.
Barturen, Guillermo
Martorell-Marugán, Jordi
Carmona-Sáez, Pedro
Landeira, David
NOMePlot: analysis of DNA methylation and nucleosome occupancy at the single molecule
title NOMePlot: analysis of DNA methylation and nucleosome occupancy at the single molecule
title_full NOMePlot: analysis of DNA methylation and nucleosome occupancy at the single molecule
title_fullStr NOMePlot: analysis of DNA methylation and nucleosome occupancy at the single molecule
title_full_unstemmed NOMePlot: analysis of DNA methylation and nucleosome occupancy at the single molecule
title_short NOMePlot: analysis of DNA methylation and nucleosome occupancy at the single molecule
title_sort nomeplot: analysis of dna methylation and nucleosome occupancy at the single molecule
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544651/
https://www.ncbi.nlm.nih.gov/pubmed/31148571
http://dx.doi.org/10.1038/s41598-019-44597-2
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