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Updated: Feb 20, 2026

Targeted DNA Methylation Analysis by Next-generation Sequencing

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

Profiling DNA Methylation Using Bisulfite Sequencing (BS-Seq).

Yun-Ru Chen¹, Sheng Yu¹, Silin Zhong²

¹School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong, China.

Methods in Molecular Biology (Clifton, N.J.)

|October 21, 2017

Summary

This summary is machine-generated.

This study details a 2-day protocol for DNA bisulfite sequencing (BS-Seq) to map plant genome methylation. It provides a bioinformatic workflow for visualizing these crucial epigenetic marks.

Keywords:

Bisulfite sequencing DNA methylation

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DNA Methylation: Bisulphite Modification and Analysis

DNA Methylation: Bisulphite Modification and Analysis

Published on: October 21, 2011

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Last Updated: Feb 20, 2026

Targeted DNA Methylation Analysis by Next-generation Sequencing

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Published on: February 24, 2015

DNA Methylation: Bisulphite Modification and Analysis

DNA Methylation: Bisulphite Modification and Analysis

Published on: October 21, 2011

Area of Science:

Epigenetics and Genomics
Plant Molecular Biology

Background:

DNA cytosine methylation is a prevalent epigenetic modification in plant nuclear genomes.
Accurate profiling of DNA methylation is essential for understanding gene regulation and development in plants.

Purpose of the Study:

To present a detailed 2-day protocol for performing bisulfite sequencing (BS-Seq) experiments.
To offer a simplified bioinformatic workflow for visualizing DNA methylation data for researchers.

Main Methods:

Utilizes sodium bisulfite treatment to convert unmethylated cytosines to uracil, while methylated cytosines remain unchanged.
Employs deep sequencing of bisulfite-converted genomic DNA to determine methylation levels.
Includes a bioinformatic pipeline for data analysis and visualization.

Main Results:

Successfully outlines a feasible 2-day protocol for genome-wide DNA cytosine methylation profiling.
Demonstrates the ability to measure methylation levels at single-nucleotide resolution.
Provides accessible tools for wet lab biologists to interpret BS-Seq data.

Conclusions:

The presented protocol and workflow facilitate efficient and accessible DNA methylation analysis in plants.
This resource empowers researchers to investigate the role of DNA cytosine methylation in plant biology.