Display Settings:

Format

Send to:

Choose Destination
    Nat Biotechnol. 2008 Jul;26(7):779-85.

    A Bayesian deconvolution strategy for immunoprecipitation-based DNA methylome analysis.

    Source

    Wellcome Trust Cancer Research UK Gurdon Institute, and Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK. thomas.down@gurdon.cam.ac.uk

    Abstract

    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.

    PMID:
    18612301
    [PubMed - indexed for MEDLINE]
    PMCID: PMC2644410
    Free PMC Article

    Images from this publication.See all images (5) Free text

    Figure 3
    Figure 1
    Figure 5
    Figure 4
    Figure 2

      Supplemental Content

      Click here to read Click here to read

      Recent activity

      Your browsing activity is empty.

      Activity recording is turned off.

      Turn recording back on

      See more...
      Write to the Help Desk