Methylation Analysis
Methylation Analysis - Related Videos
08:47
DNA Methylation Analysis
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2023
Methylation at CpG dinucleotides is a chemical modification of DNA hypothesized to play important roles in regulating gene expression. In particular, the methylation of clusters of methylation sites, called “CpG islands”, near promoters and other gene regulatory elements may contribute to the stable silencing of genes, for example, during epigenetic processes such as genomic imprinting and X-chromosome inactivation. At the same time, aberrant CpG methylation has been shown to be associated with...
12:34
DNA Methylation: Bisulphite Modification and Analysis
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Cited by 75 •
2011
The gold standard for DNA methylation analysis is genomic sequencing of bisulphite converted DNA. This method takes advantage of the increased sensitivity of cytosine compared with 5-methylcytosine (5-MeC) to bisulphite deamination under acidic conditions. Unmethylated cytosines can be distinguished from methylated cytosines after PCR amplification of the target genomic DNA.
08:38
Targeted DNA Methylation Analysis by Next-generation Sequencing
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Cited by 83 •
2015
Bisulfite amplicon sequencing (BSAS) is a method for quantifying cytosine methylation in targeted genomic regions of interest. This method uses bisulfite conversion paired with PCR amplification of target regions prior to next-generation sequencing to produce absolute quantitation of DNA methylation at a base-specific level.
13:21
Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
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Cited by 2 •
2017
This work describes an optimized methyl-CpG-binding domain (MBD) sequencing protocol and a computational pipeline to identify differentially methylated CpG-rich regions in chronic lymphocytic leukemia (CLL) patients.
13:11
Optimized Analysis of DNA Methylation and Gene Expression from Small, Anatomically-defined Areas of the Brain
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Cited by 6 •
2012
A streamlined workflow to study DNA methylation and gene expression changes upon early-life stress is shown. Starting from maternal separation of newborn mice and isolation of discrete brain tissues, we represent a protocol to simultaneously isolate DNA and RNA from brain tissue punches for subsequent bisulfite sequencing and RT-PCR analysis.
FAQs
Methyltransferases transfer a methyl group from S-adenosylmethionine to a specific site on a biological molecule. In DNA, cytosine bases can receive this modification, creating a measurable pattern at defined genomic locations. Because the underlying DNA sequence remains unchanged, analysis can distinguish regulatory or molecular changes that arise from chemical modification rather than from sequence alteration.
Methyl groups can influence how genetic information is regulated or how proteins and other molecules behave, even when their sequences remain identical. The modification may affect gene regulation, protein activity, or molecular stability. Measuring these changes therefore provides a way to connect cellular signals with altered biological function without requiring a mutation or other sequence difference.
These approaches detect methylation through different types of evidence. Chemical conversion can create a distinction between modified and unmodified sites for subsequent sequencing, while sequencing maps patterns across genes or genomes. Mass spectrometry measures molecular signatures, and affinity-based assays capture methylated molecules through selective binding. The appropriate method depends on whether site-level, broad-pattern, or molecular measurement is needed.
Patterns distributed across genes and genomes can reveal broader relationships between methylation and biological state. Comparing these patterns helps researchers investigate epigenetic regulation, development, and cellular differentiation, where many genomic regions may change together. Genome-wide or gene-level measurements can also expose disease-associated differences that would be missed by examining a single modification site.
A general workflow begins by selecting the biological molecules or genomic regions of interest, then choosing a detection strategy such as chemical conversion, sequencing, mass spectrometry, or an affinity-based assay. The resulting measurements are used to identify methylated sites or patterns and relate them to gene regulation, cellular state, development, or disease-associated changes.
This analysis is useful when researchers need to examine epigenetic regulation or determine how methylation relates to development and cellular differentiation. It can also support investigations of disease-associated molecular changes and help identify potential biomarkers. By comparing methylation patterns with biological conditions, researchers can study how environmental and cellular signals influence function.
Methylation analysis can identify molecular patterns associated with a biological condition, including disease-associated changes. A reproducible pattern across genes or genomic regions may provide a candidate biomarker, meaning a measurable feature linked to a biological state. These measurements also help connect the candidate signal with gene regulation or other functional changes rather than treating it as an isolated observation.