Methylation Sensitive High Resolution Melt Analysis
Methylation Sensitive High Resolution Melt Analysis - Related Videos
10:27
Methods to Increase the Sensitivity of High Resolution Melting Single Nucleotide Polymorphism Genotyping in Malaria
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Cited by 10 •
2015
While high resolution melting analysis offers the ability to differentiate between single nucleotide polymorphisms in a heterogeneous population, mutant allele amplification bias can increase its ability to detect alleles present at relatively low percentages within a sample. This protocol describes improvements that improve the sensitivity of high resolution melting analysis.
06:30
Rapid and Efficient Zebrafish Genotyping Using PCR with High-resolution Melt Analysis
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Cited by 34 •
2014
PCR combined with high-resolution melt analysis (HRMA) is demonstrated as a rapid and efficient method to genotype zebrafish.
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.
08:46
Genetic Variant Detection in the CALR gene using High Resolution Melting Analysis
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Cited by 2 •
2020
High resolution melting analysis (HRM) is a sensitive and rapid solution for genetic variant detection. It depends on sequence differences that result in heteroduplexes changing the shape of the melting curve. By combing HRM and agarose gel electrophoresis, different types of genetic variants such as indels can be identified.
FAQs
The key molecular distinction arises during bisulfite treatment: unmethylated cytosines are converted into uracils, whereas methylated cytosines remain unchanged. After PCR amplification, those treatment-dependent sequence differences influence how the resulting DNA melts. The fluorescence pattern therefore reflects methylation-dependent differences rather than a change in the underlying biological DNA sequence itself.
High-resolution melting makes methylation differences visible through fluorescence-based melting curves. Samples with different methylation patterns can produce distinguishable melt profiles, allowing researchers to identify pattern differences and estimate relative differences between samples. The analytical value comes from comparing curve behavior across samples, not merely observing whether amplification occurred.
Unlike approaches that require sequencing, Methylation Sensitive High Resolution Melt Analysis can often support methylation comparisons without a sequencing step. Its output is a fluorescence-based melt profile, which helps identify methylation patterns and estimate differences among samples. It is therefore suited to comparative epigenetic screening when the research question centers on methylation-dependent profile differences.
A typical workflow links three stages: bisulfite treatment, PCR amplification, and high-resolution melting. The treatment creates the methylation-dependent sequence differences, amplification generates material for analysis, and melting produces fluorescence curves for comparison. Keeping these stages conceptually connected helps researchers interpret a profile as the combined result of chemical conversion, amplification, and sequence-dependent melting behavior.
Researchers can apply the method to questions about gene regulation, developmental biology, disease-associated epigenetic changes, and biomarker discovery. These applications use methylation differences as an informative readout of biological state or disease-related change. Because the approach can compare samples without necessarily requiring sequencing, it can contribute to studies focused on screening or pattern detection.
The main outcome is a comparison of methylation-associated melting behavior between samples. A different melt profile can indicate a difference in methylation pattern, while curve comparison can support estimates of relative differences. The method therefore provides pattern-level and comparative information, rather than directly changing gene activity or altering the DNA sequence under study.