Genome-wide DNA methylation profiling using the methylation-dependent restriction enzyme LpnPI

  1. Joost Gribnau1
  1. 1Department of Developmental Biology, Erasmus MC, 3015 CN Rotterdam, the Netherlands;
  2. 2Department of Obstetrics and Gynaecology, Erasmus MC, 3015 CE Rotterdam, the Netherlands;
  3. 3Delft Diagnostic Laboratories, 2288 ER, Rijswijk, the Netherlands;
  4. 4Centre for Biomics, Erasmus MC, 3015 CE Rotterdam, the Netherlands
  1. 5 These authors contributed equally to this study.

  2. 6 These authors contributed equally to this study.

  • Corresponding author: j.gribnau{at}erasmusmc.nl
  • Abstract

    DNA methylation is a well-known epigenetic modification that plays a crucial role in gene regulation, but genome-wide analysis of DNA methylation remains technically challenging and costly. DNA methylation-dependent restriction enzymes can be used to restrict CpG methylation analysis to methylated regions of the genome only, which significantly reduces the required sequencing depth and simplifies subsequent bioinformatics analysis. Unfortunately, this approach has been hampered by complete digestion of DNA in CpG methylation-dense regions, resulting in fragments that are too small for accurate mapping. Here, we show that the activity of DNA methylation-dependent enzyme, LpnPI, is blocked by a fragment size smaller than 32 bp. This unique property prevents complete digestion of methylation-dense DNA and allows accurate genome-wide analysis of CpG methylation at single-nucleotide resolution. Methylated DNA sequencing (MeD-seq) of LpnPI digested fragments revealed highly reproducible genome-wide CpG methylation profiles for >50% of all potentially methylated CpGs, at a sequencing depth less than one-tenth required for whole-genome bisulfite sequencing (WGBS). MeD-seq identified a high number of patient and tissue-specific differential methylated regions (DMRs) and revealed that patient-specific DMRs observed in both blood and buccal samples predict DNA methylation in other tissues and organs. We also observed highly variable DNA methylation at gene promoters on the inactive X Chromosome, indicating tissue-specific and interpatient-specific escape of X Chromosome inactivation. These findings highlight the potential of MeD-seq for high-throughput epigenetic profiling.

    Footnotes

    • Received March 17, 2017.
    • Accepted October 27, 2017.

    This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

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