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Systematic prediction of DNA shape changes due to CpG methylation explains epigenetic effects on protein–DNA binding
BACKGROUND: DNA shape analysis has demonstrated the potential to reveal structure-based mechanisms of protein–DNA binding. However, information about the influence of chemical modification of DNA is limited. Cytosine methylation, the most frequent modification, represents the addition of a methyl gr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800008/ https://www.ncbi.nlm.nih.gov/pubmed/29409522 http://dx.doi.org/10.1186/s13072-018-0174-4 |
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author | Rao, Satyanarayan Chiu, Tsu-Pei Kribelbauer, Judith F. Mann, Richard S. Bussemaker, Harmen J. Rohs, Remo |
author_facet | Rao, Satyanarayan Chiu, Tsu-Pei Kribelbauer, Judith F. Mann, Richard S. Bussemaker, Harmen J. Rohs, Remo |
author_sort | Rao, Satyanarayan |
collection | PubMed |
description | BACKGROUND: DNA shape analysis has demonstrated the potential to reveal structure-based mechanisms of protein–DNA binding. However, information about the influence of chemical modification of DNA is limited. Cytosine methylation, the most frequent modification, represents the addition of a methyl group at the major groove edge of the cytosine base. In mammalian genomes, cytosine methylation most frequently occurs at CpG dinucleotides. In addition to changing the chemical signature of C/G base pairs, cytosine methylation can affect DNA structure. Since the original discovery of DNA methylation, major efforts have been made to understand its effect from a sequence perspective. Compared to unmethylated DNA, however, little structural information is available for methylated DNA, due to the limited number of experimentally determined structures. To achieve a better mechanistic understanding of the effect of CpG methylation on local DNA structure, we developed a high-throughput method, methyl-DNAshape, for predicting the effect of cytosine methylation on DNA shape. RESULTS: Using our new method, we found that CpG methylation significantly altered local DNA shape. Four DNA shape features—helix twist, minor groove width, propeller twist, and roll—were considered in this analysis. Distinct distributions of effect size were observed for different features. Roll and propeller twist were the DNA shape features most strongly affected by CpG methylation with an effect size depending on the local sequence context. Methylation-induced changes in DNA shape were predictive of the measured rate of cleavage by DNase I and suggest a possible mechanism for some of the methylation sensitivities that were recently observed for human Pbx-Hox complexes. CONCLUSIONS: CpG methylation is an important epigenetic mark in the mammalian genome. Understanding its role in protein–DNA recognition can further our knowledge of gene regulation. Our high-throughput methyl-DNAshape method can be used to predict the effect of cytosine methylation on DNA shape and its subsequent influence on protein–DNA interactions. This approach overcomes the limited availability of experimental DNA structures that contain 5-methylcytosine. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13072-018-0174-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5800008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58000082018-02-13 Systematic prediction of DNA shape changes due to CpG methylation explains epigenetic effects on protein–DNA binding Rao, Satyanarayan Chiu, Tsu-Pei Kribelbauer, Judith F. Mann, Richard S. Bussemaker, Harmen J. Rohs, Remo Epigenetics Chromatin Research BACKGROUND: DNA shape analysis has demonstrated the potential to reveal structure-based mechanisms of protein–DNA binding. However, information about the influence of chemical modification of DNA is limited. Cytosine methylation, the most frequent modification, represents the addition of a methyl group at the major groove edge of the cytosine base. In mammalian genomes, cytosine methylation most frequently occurs at CpG dinucleotides. In addition to changing the chemical signature of C/G base pairs, cytosine methylation can affect DNA structure. Since the original discovery of DNA methylation, major efforts have been made to understand its effect from a sequence perspective. Compared to unmethylated DNA, however, little structural information is available for methylated DNA, due to the limited number of experimentally determined structures. To achieve a better mechanistic understanding of the effect of CpG methylation on local DNA structure, we developed a high-throughput method, methyl-DNAshape, for predicting the effect of cytosine methylation on DNA shape. RESULTS: Using our new method, we found that CpG methylation significantly altered local DNA shape. Four DNA shape features—helix twist, minor groove width, propeller twist, and roll—were considered in this analysis. Distinct distributions of effect size were observed for different features. Roll and propeller twist were the DNA shape features most strongly affected by CpG methylation with an effect size depending on the local sequence context. Methylation-induced changes in DNA shape were predictive of the measured rate of cleavage by DNase I and suggest a possible mechanism for some of the methylation sensitivities that were recently observed for human Pbx-Hox complexes. CONCLUSIONS: CpG methylation is an important epigenetic mark in the mammalian genome. Understanding its role in protein–DNA recognition can further our knowledge of gene regulation. Our high-throughput methyl-DNAshape method can be used to predict the effect of cytosine methylation on DNA shape and its subsequent influence on protein–DNA interactions. This approach overcomes the limited availability of experimental DNA structures that contain 5-methylcytosine. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13072-018-0174-4) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-06 /pmc/articles/PMC5800008/ /pubmed/29409522 http://dx.doi.org/10.1186/s13072-018-0174-4 Text en © The Author(s) 2018 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 Rao, Satyanarayan Chiu, Tsu-Pei Kribelbauer, Judith F. Mann, Richard S. Bussemaker, Harmen J. Rohs, Remo Systematic prediction of DNA shape changes due to CpG methylation explains epigenetic effects on protein–DNA binding |
title | Systematic prediction of DNA shape changes due to CpG methylation explains epigenetic effects on protein–DNA binding |
title_full | Systematic prediction of DNA shape changes due to CpG methylation explains epigenetic effects on protein–DNA binding |
title_fullStr | Systematic prediction of DNA shape changes due to CpG methylation explains epigenetic effects on protein–DNA binding |
title_full_unstemmed | Systematic prediction of DNA shape changes due to CpG methylation explains epigenetic effects on protein–DNA binding |
title_short | Systematic prediction of DNA shape changes due to CpG methylation explains epigenetic effects on protein–DNA binding |
title_sort | systematic prediction of dna shape changes due to cpg methylation explains epigenetic effects on protein–dna binding |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800008/ https://www.ncbi.nlm.nih.gov/pubmed/29409522 http://dx.doi.org/10.1186/s13072-018-0174-4 |
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