TA Down, VK Rakyan, DJ Turner, P Flicek, H Li, E Kulesha, S Gräf, N Johnson, J Herrero, EM Tomazou, NP Thorne, L Bäckdahl, M Herberth, KL Howe, DK Jackson, MM Miretti, JC Marioni, E Birney, TJP Hubbard, R Durbin, S Tavaré, S Beck
Journal name: 
Nat Biotechnol
Citation info: 
DNA methylation is an indispensible epigenetic modification required for regulating the expression of mammalian genomes. Immunoprecipitation-based methods for DNA methylome analysis are rapidly shifting the bottleneck in this field from data generation to data analysis, necessitating the development of better analytical tools. In particular, an inability to estimate absolute methylation levels remains a major analytical difficulty associated with immunoprecipitation-based DNA methylation profiling. To address this issue, we developed a cross-platform algorithm-Bayesian tool for methylation analysis (Batman)-for analyzing methylated DNA immunoprecipitation (MeDIP) profiles generated using oligonucleotide arrays (MeDIP-chip) or next-generation sequencing (MeDIP-seq). We developed the latter approach to provide a high-resolution whole-genome DNA methylation profile (DNA methylome) of a mammalian genome. Strong correlation of our data, obtained using mature human spermatozoa, with those obtained using bisulfite sequencing suggest that combining MeDIP-seq or MeDIP-chip with Batman provides a robust, quantitative and cost-effective functional genomic strategy for elucidating the function of DNA methylation.
Research group: 
Marioni Group, Tavaré Group
E-pub date: 
31 Jul 2008
Users with this publication listed: 
John Marioni
Simon Tavaré