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cuRRBS: simple and robust evaluation of enzyme combinations for reduced representation approaches

DNA methylation is an important epigenetic modification in many species that is critical for development, and implicated in ageing and many complex diseases, such as cancer. Many cost-effective genome-wide analyses of DNA modifications rely on restriction enzymes capable of digesting genomic DNA at...

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Autores principales: Martin-Herranz, Daniel E., Ribeiro, António J. M., Krueger, Felix, Thornton, Janet M., Reik, Wolf, Stubbs, Thomas M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714207/
https://www.ncbi.nlm.nih.gov/pubmed/29036576
http://dx.doi.org/10.1093/nar/gkx814
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author Martin-Herranz, Daniel E.
Ribeiro, António J. M.
Krueger, Felix
Thornton, Janet M.
Reik, Wolf
Stubbs, Thomas M.
author_facet Martin-Herranz, Daniel E.
Ribeiro, António J. M.
Krueger, Felix
Thornton, Janet M.
Reik, Wolf
Stubbs, Thomas M.
author_sort Martin-Herranz, Daniel E.
collection PubMed
description DNA methylation is an important epigenetic modification in many species that is critical for development, and implicated in ageing and many complex diseases, such as cancer. Many cost-effective genome-wide analyses of DNA modifications rely on restriction enzymes capable of digesting genomic DNA at defined sequence motifs. There are hundreds of restriction enzyme families but few are used to date, because no tool is available for the systematic evaluation of restriction enzyme combinations that can enrich for certain sites of interest in a genome. Herein, we present customised Reduced Representation Bisulfite Sequencing (cuRRBS), a novel and easy-to-use computational method that solves this problem. By computing the optimal enzymatic digestions and size selection steps required, cuRRBS generalises the traditional MspI-based Reduced Representation Bisulfite Sequencing (RRBS) protocol to all restriction enzyme combinations. In addition, cuRRBS estimates the fold-reduction in sequencing costs and provides a robustness value for the personalised RRBS protocol, allowing users to tailor the protocol to their experimental needs. Moreover, we show in silico that cuRRBS-defined restriction enzymes consistently out-perform MspI digestion in many biological systems, considering both CpG and CHG contexts. Finally, we have validated the accuracy of cuRRBS predictions for single and double enzyme digestions using two independent experimental datasets.
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spelling pubmed-57142072017-12-08 cuRRBS: simple and robust evaluation of enzyme combinations for reduced representation approaches Martin-Herranz, Daniel E. Ribeiro, António J. M. Krueger, Felix Thornton, Janet M. Reik, Wolf Stubbs, Thomas M. Nucleic Acids Res Computational Biology DNA methylation is an important epigenetic modification in many species that is critical for development, and implicated in ageing and many complex diseases, such as cancer. Many cost-effective genome-wide analyses of DNA modifications rely on restriction enzymes capable of digesting genomic DNA at defined sequence motifs. There are hundreds of restriction enzyme families but few are used to date, because no tool is available for the systematic evaluation of restriction enzyme combinations that can enrich for certain sites of interest in a genome. Herein, we present customised Reduced Representation Bisulfite Sequencing (cuRRBS), a novel and easy-to-use computational method that solves this problem. By computing the optimal enzymatic digestions and size selection steps required, cuRRBS generalises the traditional MspI-based Reduced Representation Bisulfite Sequencing (RRBS) protocol to all restriction enzyme combinations. In addition, cuRRBS estimates the fold-reduction in sequencing costs and provides a robustness value for the personalised RRBS protocol, allowing users to tailor the protocol to their experimental needs. Moreover, we show in silico that cuRRBS-defined restriction enzymes consistently out-perform MspI digestion in many biological systems, considering both CpG and CHG contexts. Finally, we have validated the accuracy of cuRRBS predictions for single and double enzyme digestions using two independent experimental datasets. Oxford University Press 2017-11-16 2017-09-19 /pmc/articles/PMC5714207/ /pubmed/29036576 http://dx.doi.org/10.1093/nar/gkx814 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Biology
Martin-Herranz, Daniel E.
Ribeiro, António J. M.
Krueger, Felix
Thornton, Janet M.
Reik, Wolf
Stubbs, Thomas M.
cuRRBS: simple and robust evaluation of enzyme combinations for reduced representation approaches
title cuRRBS: simple and robust evaluation of enzyme combinations for reduced representation approaches
title_full cuRRBS: simple and robust evaluation of enzyme combinations for reduced representation approaches
title_fullStr cuRRBS: simple and robust evaluation of enzyme combinations for reduced representation approaches
title_full_unstemmed cuRRBS: simple and robust evaluation of enzyme combinations for reduced representation approaches
title_short cuRRBS: simple and robust evaluation of enzyme combinations for reduced representation approaches
title_sort currbs: simple and robust evaluation of enzyme combinations for reduced representation approaches
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714207/
https://www.ncbi.nlm.nih.gov/pubmed/29036576
http://dx.doi.org/10.1093/nar/gkx814
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