title: A novel application of melting curves: utility of peak area calculation for relative methylation quantification.
abstract: BACKGROUND
  DNA methylation markers appear to be useful in cancer detection, in evaluating the prognosis associated with disease progression, and in detecting the metastatic potential of tumors.
  
  
  METHODS
  We present an approach for relative quantification of methylated gene sequences. The technique combines conventional PCR and LightCycler fluorescence PCR. In the conventional PCR step, bisulfite-modified molecules are selectively enriched, irrespective of their methylation status, and used as template in the second step, the LightCycler fluorescence PCR, which includes methylation-specific primers and fluorescently labeled probes. After amplification, a stepwise increase in temperature leads to the generation of melting curves reflecting fluorescence emission induced by disassociation of the probe-target complexes. Quantification is based on calculation of the peak areas for melting curves using a Gaussian fit curve. The area under this curve indicates the relative amounts of methylated sequences in each sample.
  
  
  RESULTS
  By normalizing the peak areas by template concentrations, a methylation index was calculated for each sample. This approach was then used to carry out a relative quantification of p16INK4A gene methylation in bone marrow and blood mononuclear cells from patients with positive translocation status.
  
  
  CONCLUSIONS
  If validated in further studies, this approach represents a highly specific technique that can be used in analyzing paired samples of cancer patients.
authors.affiliation: Department of Basic Oncology, Oncology Institute, Istanbul University, Istanbul, Turkey.
authors.forename: Ugur
authors.initials: U
authors.lastname: Deligezer
authors.forename: Ebru
authors.initials: E
authors.lastname: Esin Akisik
authors.forename: Nejat
authors.initials: N
authors.lastname: Dalay
mesh_terms: D000328:Adult; D014408:Biomarkers, Tumor; D019175:DNA Methylation; D005260:Female; D019942:Genes, p16; D006801:Humans; D007951:Leukemia, Myeloid / Q000097:blood / Q000235:genetics*; D008297:Male; D008875:Middle Aged; D016133:Polymerase Chain Reaction / Q000379:methods*; D044366:Transition Temperature
chemical_list: D014408:Biomarkers, Tumor