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Related Experiment Video

Updated: May 1, 2026

Methyl-binding DNA capture Sequencing for Patient Tissues
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FUSE: data-driven functional segmentation of DNA methylation data.

Susanna Holmström1, Antti Häkkinen2, Kari Lavikka1

  • 1Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, 00014, Finland.

Bioinformatics (Oxford, England)
|April 30, 2026
PubMed
Summary

We developed FUSE, a novel method to identify DNA methylation blocks from whole-genome bisulfite sequencing data. FUSE accurately defines methylation segments, aiding downstream analyses in gene regulation and chromatin structure.

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Area of Science:

  • Genomics
  • Epigenetics
  • Bioinformatics

Background:

  • DNA methylation (DNAm) patterns are crucial for gene regulation and chromatin structure.
  • Identifying biologically relevant DNA methylation blocks from whole-genome bisulfite sequencing (WGBS) data is challenging.
  • Current methods often use fixed genomic windows, not reflecting actual methylation patterns.

Purpose of the Study:

  • To present FUSE, a data-driven segmentation method for defining DNA methylation blocks.
  • To capture intrinsic methylation segments directly from WGBS data by analyzing multiple samples.
  • To facilitate post hoc methylation analyses by aggregating coherent CpG sites.

Main Methods:

  • FUSE is a data-driven segmentation method analyzing multiple WGBS samples.
  • It identifies spatially homogeneous methylation blocks shared across a cohort.
  • The method allows for different methylation states across samples.

Main Results:

  • FUSE identified segments that significantly overlap with promoters, enhancers, and repetitive elements in 61 ENCODE WGBS samples.
  • The method demonstrated high sensitivity in recovering true segment breakpoints in synthetic data, even with noise.
  • FUSE successfully aggregated coherent CpG sites into candidate segments.

Conclusions:

  • FUSE provides a robust approach to defining biologically meaningful DNA methylation blocks.
  • This facilitates downstream analyses such as differential methylation testing.
  • The method advances the understanding of DNA methylation patterns and their link to gene regulation.