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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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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