Related Experiment Video
Updated: Feb 17, 2026
13:21
Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
Published on: June 16, 2017
10.6K
Genome-wide DNA methylation profiling using the methylation-dependent restriction enzyme LpnPI
Ruben Boers1,2, Joachim Boers1,3, Bas de Hoon1,2
1Department of Developmental Biology, Erasmus MC, 3015 CN Rotterdam, the Netherlands.
Genome Research
|December 10, 2017
Summary
Analyzing DNA methylation is challenging. A new method, Methylated DNA sequencing (MeD-seq), uses the LpnPI enzyme to accurately map CpG methylation genome-wide with reduced sequencing depth, enabling high-throughput epigenetic profiling.
Area of Science:
- Epigenetics
- Genomics
- Molecular Biology
Background:
- DNA methylation is a critical epigenetic modification for gene regulation.
- Genome-wide DNA methylation analysis is technically challenging and expensive.
- Existing methods using methylation-dependent enzymes face limitations with dense CpG regions.
Purpose of the Study:
- To develop a more accurate and cost-effective method for genome-wide DNA methylation analysis.
- To overcome the limitations of complete DNA digestion in CpG-dense regions.
- To enable high-throughput epigenetic profiling.
Main Methods:
- Utilized the DNA methylation-dependent enzyme LpnPI, whose activity is blocked by DNA fragments smaller than 32 bp.
- Developed Methylated DNA sequencing (MeD-seq) based on LpnPI digestion.
- Applied MeD-seq to analyze genome-wide CpG methylation profiles.
Main Results:
- MeD-seq accurately maps genome-wide CpG methylation at single-nucleotide resolution.
- The method achieves high reproducibility for over 50% of potentially methylated CpGs.
- MeD-seq requires less than one-tenth the sequencing depth of whole-genome bisulfite sequencing (WGBS).
- Identified numerous patient and tissue-specific differential methylated regions (DMRs).
- Patient-specific DMRs in blood and buccal samples predict methylation in other tissues.
- Observed variable DNA methylation and X chromosome inactivation escape in gene promoters.
Conclusions:
- MeD-seq offers a robust and efficient approach for genome-wide DNA methylation analysis.
- The method significantly reduces sequencing depth and simplifies bioinformatics.
- MeD-seq facilitates the discovery of clinically relevant epigenetic variations.
- Highlights the potential for high-throughput epigenetic profiling in research and diagnostics.
