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High-Resolution Melt Curve Analysis in Cancer Mutation Screen
Meenakshi Mehrotra1, Keyur P Patel2
1Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Unit 72, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Methods in Molecular Biology (Clifton, N.J.)
|February 5, 2016
Summary
High-resolution melt (HRM) curve analysis is a sensitive PCR-based method for detecting DNA sequence variations. This efficient technique aids in cancer diagnosis by identifying mutations in key genes.
Area of Science:
- Molecular Biology
- Genetics
- Biochemistry
Background:
- High-resolution melt (HRM) curve analysis is a PCR-based assay.
- It identifies sequence alterations by analyzing melting curve variations between mutated and wild-type DNA.
- HRM is a high-throughput, sensitive, and efficient alternative to Sanger sequencing.
Purpose of the Study:
- To assess for mutations in clinically important genes.
- To provide a sensitive method for cancer diagnosis.
- To highlight HRM analysis as an efficient alternative to traditional sequencing methods.
Main Methods:
- PCR amplification of target DNA sequences.
- Use of a fluorescent double-stranded DNA (dsDNA) binding dye.
- Melting of fluorescent amplicons and interpretation of melt curve profiles.
Main Results:
- HRM analysis can distinguish between mutated and wild-type DNA sequences.
- Subtle variations in melting curves indicate the presence of sequence alterations.
- The technique demonstrates high sensitivity and efficiency.
Conclusions:
- HRM curve analysis is a valuable tool for mutation detection.
- It offers a robust method for genetic analysis in clinical settings, particularly for cancer-related genes.
- HRM provides a sensitive and efficient alternative for genetic screening.
