Resources for methylome analysis suitable for gene knockout studies of potential epigenome modifiers

<p>Abstract</p> <p>Background</p> <p>Methylated DNA immunoprecipitation (MeDIP) is a popular enrichment based method and can be combined with sequencing (termed MeDIP-seq) to interrogate the methylation status of cytosines across entire genomes. However, quality control...

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Main Authors: Wilson Gareth A, Dhami Pawandeep, Feber Andrew, Cortázar Daniel, Suzuki Yuka, Schulz Reiner, Schär Primo, Beck Stephan
Format: Article
Language:English
Published: Oxford University Press 2012-07-01
Series:GigaScience
Subjects:
Online Access:http://www.gigasciencejournal.com/content/1/1/3
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spelling doaj-2def8c8c64f341b38f177824c7606ca62020-11-24T23:57:29ZengOxford University PressGigaScience2047-217X2012-07-0111310.1186/2047-217X-1-3Resources for methylome analysis suitable for gene knockout studies of potential epigenome modifiersWilson Gareth ADhami PawandeepFeber AndrewCortázar DanielSuzuki YukaSchulz ReinerSchär PrimoBeck Stephan<p>Abstract</p> <p>Background</p> <p>Methylated DNA immunoprecipitation (MeDIP) is a popular enrichment based method and can be combined with sequencing (termed MeDIP-seq) to interrogate the methylation status of cytosines across entire genomes. However, quality control and analysis of MeDIP-seq data have remained to be a challenge.</p> <p>Results</p> <p>We report genome-wide DNA methylation profiles of wild type (wt) and mutant mouse cells, comprising 3 biological replicates of Thymine DNA glycosylase (<it>Tdg</it>) knockout (KO) embryonic stem cells (ESCs), <it>in vitro</it> differentiated neural precursor cells (NPCs) and embryonic fibroblasts (MEFs). The resulting 18 methylomes were analysed with MeDUSA (Methylated DNA Utility for Sequence Analysis), a novel MeDIP-seq computational analysis pipeline for the identification of differentially methylated regions (DMRs). The observed increase of hypermethylation in MEF promoter-associated CpG islands supports a previously proposed role for <it>Tdg</it> in the protection of regulatory regions from epigenetic silencing. Further analysis of genes and regions associated with the DMRs by gene ontology, pathway, and ChIP analyses revealed further insights into <it>Tdg</it> function, including an association of TDG with low-methylated distal regulatory regions.</p> <p>Conclusions</p> <p>We demonstrate that MeDUSA is able to detect both large-scale changes between cells from different stages of differentiation and also small but significant changes between the methylomes of cells that only differ in the KO of a single gene. These changes were validated utilising publicly available datasets and confirm <it>TDG's</it> function in the protection of regulatory regions from epigenetic silencing.</p> http://www.gigasciencejournal.com/content/1/1/3MethylomeMeDIP-seqEpigeneticsEpigenomicsDNA methylationComputational pipelineMeDUSA
collection DOAJ
language English
format Article
sources DOAJ
author Wilson Gareth A
Dhami Pawandeep
Feber Andrew
Cortázar Daniel
Suzuki Yuka
Schulz Reiner
Schär Primo
Beck Stephan
spellingShingle Wilson Gareth A
Dhami Pawandeep
Feber Andrew
Cortázar Daniel
Suzuki Yuka
Schulz Reiner
Schär Primo
Beck Stephan
Resources for methylome analysis suitable for gene knockout studies of potential epigenome modifiers
GigaScience
Methylome
MeDIP-seq
Epigenetics
Epigenomics
DNA methylation
Computational pipeline
MeDUSA
author_facet Wilson Gareth A
Dhami Pawandeep
Feber Andrew
Cortázar Daniel
Suzuki Yuka
Schulz Reiner
Schär Primo
Beck Stephan
author_sort Wilson Gareth A
title Resources for methylome analysis suitable for gene knockout studies of potential epigenome modifiers
title_short Resources for methylome analysis suitable for gene knockout studies of potential epigenome modifiers
title_full Resources for methylome analysis suitable for gene knockout studies of potential epigenome modifiers
title_fullStr Resources for methylome analysis suitable for gene knockout studies of potential epigenome modifiers
title_full_unstemmed Resources for methylome analysis suitable for gene knockout studies of potential epigenome modifiers
title_sort resources for methylome analysis suitable for gene knockout studies of potential epigenome modifiers
publisher Oxford University Press
series GigaScience
issn 2047-217X
publishDate 2012-07-01
description <p>Abstract</p> <p>Background</p> <p>Methylated DNA immunoprecipitation (MeDIP) is a popular enrichment based method and can be combined with sequencing (termed MeDIP-seq) to interrogate the methylation status of cytosines across entire genomes. However, quality control and analysis of MeDIP-seq data have remained to be a challenge.</p> <p>Results</p> <p>We report genome-wide DNA methylation profiles of wild type (wt) and mutant mouse cells, comprising 3 biological replicates of Thymine DNA glycosylase (<it>Tdg</it>) knockout (KO) embryonic stem cells (ESCs), <it>in vitro</it> differentiated neural precursor cells (NPCs) and embryonic fibroblasts (MEFs). The resulting 18 methylomes were analysed with MeDUSA (Methylated DNA Utility for Sequence Analysis), a novel MeDIP-seq computational analysis pipeline for the identification of differentially methylated regions (DMRs). The observed increase of hypermethylation in MEF promoter-associated CpG islands supports a previously proposed role for <it>Tdg</it> in the protection of regulatory regions from epigenetic silencing. Further analysis of genes and regions associated with the DMRs by gene ontology, pathway, and ChIP analyses revealed further insights into <it>Tdg</it> function, including an association of TDG with low-methylated distal regulatory regions.</p> <p>Conclusions</p> <p>We demonstrate that MeDUSA is able to detect both large-scale changes between cells from different stages of differentiation and also small but significant changes between the methylomes of cells that only differ in the KO of a single gene. These changes were validated utilising publicly available datasets and confirm <it>TDG's</it> function in the protection of regulatory regions from epigenetic silencing.</p>
topic Methylome
MeDIP-seq
Epigenetics
Epigenomics
DNA methylation
Computational pipeline
MeDUSA
url http://www.gigasciencejournal.com/content/1/1/3
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