Comparison of methyl-DNA immunoprecipitation (MeDIP) and methyl-CpG binding domain (MBD) protein capture for genome-wide DNA methylation analysis reveal CpG sequence coverage bias.
ABSTRACT DNA methylation primarily occurs at CpG dinucleotides in mammals and is a common epigenetic mark that plays a critical role in the regulation of gene expression. Profiling DNA methylation patterns across the genome is vital to understand DNA methylation changes that occur during development and in disease phenotype. In this study, we compared two commonly used approaches to enrich for methylated DNA regions of the genome, namely methyl-DNA immunoprecipitation (MeDIP) that is based on enrichment with antibodies specific for 5'-methylcytosine (5MeC), and capture of methylated DNA using a methyl-CpG binding domain-based (MBD) protein to discover differentially methylated regions (DMRs) in cancer. The enriched methylated DNA fractions were interrogated on Affymetrix promoter tiling arrays and differentially methylated regions were identified. A detailed validation study of 42 regions was performed using Sequenom MassCLEAVE technique. This detailed analysis revealed that both enrichment techniques are sensitive for detecting DMRs and preferentially identified different CpG rich regions of the prostate cancer genome, with MeDIP commonly enriching for methylated regions with a low CpG density, while MBD capture favors regions of higher CpG density and identifies the greatest proportion of CpG islands. This is the first detailed validation report comparing different methylated DNA enrichment techniques for identifying regions of differential DNA methylation. Our study highlights the importance of understanding the nuances of the methods used for DNA genome-wide methylation analyses so that accurate interpretation of the biology is not overlooked.
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ABSTRACT: Affinity capture of DNA methylation combined with high-throughput sequencing strikes a good balancebetween the high cost of whole genome bisulfite sequencing and the low coverage of methylationarrays. We present BayMeth, an empirical Bayes approach that uses a fully methylated control sampleto transform observed read counts into regional methylation levels. In our model, inefficient capturecan readily be distinguished from low methylation levels. BayMeth improves on existing methods,allows explicit modeling of copy number variation, and offers computationally-efficient analyticalmean and variance estimators. BayMeth is available in the Repitools Bioconductor package.Genome biology 02/2014; 15(2):R35. · 10.30 Impact Factor
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ABSTRACT: DNA methylation has the potential to be a clinically important biomarker in cancer. This communication reports a real-time and label-free biosensing strategy for DNA methylation detection in the cancer cell line. This has been achieved by using surface plasmon resonance biosensing combined with the highly specific molecular inversion probe based amplification method, which requires only 50 ng of bisulfite treated genomic DNA.Chemical Communications 02/2014; · 6.38 Impact Factor
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ABSTRACT: Childhood abuse is associated with increased adult disease risk, suggesting that processes acting over the long-term, such as epigenetic regulation of gene activity, may be involved. DNA methylation is a critical mechanism in epigenetic regulation. We aimed to establish whether childhood abuse was associated with adult DNA methylation profiles. In 40 males from the 1958 British Birth Cohort we compared genome-wide promoter DNA methylation in blood taken at 45y for those with, versus those without, childhood abuse (n = 12 vs 28). We analysed the promoter methylation of over 20,000 genes and 489 microRNAs, using MeDIP (methylated DNA immunoprecipitation) in triplicate. We found 997 differentially methylated gene promoters (311 hypermethylated and 686 hypomethylated) in association with childhood abuse and these promoters were enriched for genes involved in key cell signaling pathways related to transcriptional regulation and development. Using bisulfite-pyrosequencing, abuse-associated methylation (MeDIP) at the metalloproteinase gene, PM20D1, was validated and then replicated in an additional 27 males. Abuse-associated methylation was observed in 39 microRNAs; in 6 of these, the hypermethylated state was consistent with the hypomethylation of their downstream gene targets. Although distributed across the genome, the differentially methylated promoters associated with child abuse clustered in genome regions of at least one megabase. The observations for child abuse showed little overlap with methylation patterns associated with socioeconomic position. Our observed genome-wide methylation profiles in adult DNA associated with childhood abuse justify the further exploration of epigenetic regulation as a mediating mechanism for long-term health outcomes.BMC Medical Genomics 03/2014; 7(1):13. · 3.47 Impact Factor