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Targeted DNA Methylation Analysis by Next-generation Sequencing
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Detecting DNA cytosine methylation using nanopore sequencing.

Jared T Simpson1,2, Rachael E Workman3, P C Zuzarte1

  • 1Ontario Institute for Cancer Research, Toronto, Ontario, Canada.

Nature Methods
|February 21, 2017
PubMed
Summary
This summary is machine-generated.

This study quantifies how 5-methylcytosine (5-mC) DNA base modifications affect nanopore sequencing signals. A new method accurately detects 5-mC in human DNA methylomes without special library prep.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Nanopore sequencing devices generate electrical current signals sensitive to DNA base modifications.
  • 5-methylcytosine (5-mC) is a critical epigenetic modification influencing gene expression.

Purpose of the Study:

  • To quantify the effect of 5-methylcytosine on electrolytic current signals in the Oxford Nanopore Technologies MinION sequencer.
  • To develop a computational method for distinguishing 5-mC from unmethylated cytosine using nanopore sequencing data.

Main Methods:

  • Utilized synthetically methylated DNA for model training.
  • Developed and applied a hidden Markov model to analyze nanopore sequencing data.
  • Sequenced the human DNA methylome without specialized library preparation steps.

Main Results:

  • Successfully quantified the signal changes associated with 5-mC on the MinION platform.
  • The hidden Markov model accurately distinguished between methylated and unmethylated cytosine.
  • Enabled direct sequencing of the human methylome from native DNA.

Conclusions:

  • Nanopore sequencing signals provide a reliable readout for 5-mC detection.
  • The developed hidden Markov model is effective for methylome sequencing.
  • This method simplifies and enhances the study of DNA methylation patterns.