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DNA Methylation: Bisulphite Modification and Analysis
Published on: October 21, 2011
106.8K
PCR Techniques in Characterizing DNA Methylation.
Khalida Wani1, Kenneth D Aldape2
1Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Centre, 2130 W. Holcombe Blvd, Life Science Plaza 11.5008, Houston, TX, 77030, USA. kwani@mdanderson.org.
Methods in Molecular Biology (Clifton, N.J.)
|February 5, 2016
Summary
DNA methylation, an epigenetic mark, is crucial for development and disease, especially cancer. Bisulfite conversion and sequencing methods reveal methylation patterns for identifying disease biomarkers.
Area of Science:
- Epigenetics
- Molecular Biology
- Genomics
Background:
- DNA methylation is the first discovered epigenetic mark, involving methyl group addition to cytosine.
- It plays a vital role in human development, gene expression, and diseases like cancer.
- Differential DNA methylation is central to the development and progression of human malignancies.
Purpose of the Study:
- To review DNA methylation analysis techniques.
- To highlight the role of DNA methylation in tumorigenesis.
- To discuss the application of methylation analysis in clinical practice.
Main Methods:
- Bisulfite conversion for DNA methylation analysis.
- PCR-based methods including bisulfite sequencing, methylation-specific PCR, MethyLight, and methylation-sensitive high-resolution melting PCR.
- Whole-epigenome profiling technologies like MethylC-seq, reduced representation bisulfite sequencing (RRBS), and the Infinium Human methylation 450 K bead chip.
Main Results:
- Bisulfite conversion allows single-nucleotide resolution of DNA methylation.
- Various PCR-based methods enable gene-specific DNA methylation studies.
- Advanced technologies facilitate whole-epigenome profiling for disease research.
Conclusions:
- DNA methylation analysis is essential for understanding gene regulation and diseases.
- Bisulfite conversion and sequencing are key techniques for methylation detection.
- Epigenetic profiling holds potential for identifying disease biomarkers and clinical applications.
