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Related Experiment Video

Updated: Mar 7, 2026

Methyl-binding DNA capture Sequencing for Patient Tissues

Methyl-binding DNA capture Sequencing for Patient Tissues

Published on: October 31, 2016

Mapping DNA methylation with high-throughput nanopore sequencing.

Arthur C Rand¹, Miten Jain¹, Jordan M Eizenga¹

¹Department of Biomolecular Engineering and Genomics Institute, University of California, Santa Cruz, Santa Cruz, California, USA.

|February 21, 2017

Summary

This summary is machine-generated.

This study introduces a new method for mapping DNA methylation using nanopore sequencing. The framework detects changes in DNA methylation levels during bacterial growth.

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Optimized Analysis of DNA Methylation and Gene Expression from Small, Anatomically-defined Areas of the Brain

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Last Updated: Mar 7, 2026

Methyl-binding DNA capture Sequencing for Patient Tissues

Methyl-binding DNA capture Sequencing for Patient Tissues

Published on: October 31, 2016

Targeted DNA Methylation Analysis by Next-generation Sequencing

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

Optimized Analysis of DNA Methylation and Gene Expression from Small, Anatomically-defined Areas of the Brain

Optimized Analysis of DNA Methylation and Gene Expression from Small, Anatomically-defined Areas of the Brain

Published on: July 12, 2012

Area of Science:

Genomics
Molecular Biology
Biotechnology

Background:

DNA chemical modifications, such as methylation, play a crucial role in regulating genomic functions.
Accurate mapping of these modifications is essential for understanding gene regulation and cellular processes.

Purpose of the Study:

To develop and present a novel framework for mapping DNA methylation.
To utilize the ionic current signal from Oxford Nanopore Technologies MinION for detecting epigenetic modifications.

Main Methods:

A framework was developed to analyze the ionic current signal generated by the MinION nanopore sequencer.
The method was applied to map three types of cytosine methylation and two types of adenine methylation.
The model's sensitivity was tested by analyzing DNA methylation changes in Escherichia coli across different growth phases.

Main Results:

The developed framework successfully mapped multiple variants of DNA methylation, including cytosine and adenine modifications.
The model demonstrated sufficient sensitivity to detect dynamic changes in genomic DNA methylation levels.
Observed variations in methylation correlated with the growth phase of Escherichia coli.

Conclusions:

The presented framework offers a sensitive approach for mapping DNA methylation using nanopore sequencing technology.
This method allows for the detection of changes in DNA methylation patterns, providing insights into epigenetic regulation in bacteria.
The findings highlight the potential of nanopore sequencing for studying dynamic epigenetic modifications in real-time.