Quantitation of DNA methylation by melt curve analysis.

Background: Methylation of DNA is a common mechanism for silencing genes, and aberrant methylation is increasingly being implicated in many diseases such as cancer. There is a need for robust, inexpensive methods to quantitate methylation across a region containing a number of CpGs. We describe and...

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Publicado en:BMC Cancer Vol. 9; pp. 123 - 124
Autores principales: Smith E, Jones ME, Drew PA, Smith, Eric, Jones, Michael E, Drew, Paul A
Formato: research Journal Article
Publicado: BioMed Central 2009
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2009
      vid: 9
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      pub: BioMed Central
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        105524773
        NLM19393074
        2010275434
        10.1186/1471-2407-9-123
        NLM19393074
        105524773
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        atl: Quantitation of DNA methylation by melt curve analysis.
      aug:
        au:
          Smith E
          Jones ME
          Drew PA
          Smith, Eric
          Jones, Michael E
          Drew, Paul A
        affil: School of Nursing and Midwifery, Flinders University, Bedford Park, South Australia 5042, Australia
      sug:
        subj:
          DNA
          Heat
          Algorithms
          Antimetabolites, Antineoplastic Pharmacodynamics
          Biochemical Phenomena Drug Effects
          Cells
          Colorectal Neoplasms Metabolism
          Colorectal Neoplasms Pathology
          Colorectal Neoplasms
          Enzyme Inhibitors Pharmacodynamics
          Enzyme Inhibitors
          Enzymes Metabolism
          Enzymes
          Esophageal Neoplasms Metabolism
          Esophageal Neoplasms Pathology
          Esophageal Neoplasms
          Genes
          Immunohistochemistry
          Nucleotides
          Polymerase Chain Reaction
          Proteins Metabolism
          Proteins
          Human
      ab: Background: Methylation of DNA is a common mechanism for silencing genes, and aberrant methylation is increasingly being implicated in many diseases such as cancer. There is a need for robust, inexpensive methods to quantitate methylation across a region containing a number of CpGs. We describe and validate a rapid, in-tube method to quantitate DNA methylation using the melt data obtained following amplification of bisulfite modified DNA in a real-time thermocycler.Methods: We first describe a mathematical method to normalise the raw fluorescence data generated by heating the amplified bisulfite modified DNA. From this normalised data the temperatures at which melting begins and finishes can be calculated, which reflect the less and more methylated template molecules present respectively. Also the T50, the temperature at which half the amplicons are melted, which represents the summative methylation of all the CpGs in the template mixture, can be calculated. These parameters describe the methylation characteristics of the region amplified in the original sample.Results: For validation we used synthesized oligonucleotides and DNA from fresh cells and formalin fixed paraffin embedded tissue, each with known methylation. Using our quantitation we could distinguish between unmethylated, partially methylated and fully methylated oligonucleotides mixed in varying ratios. There was a linear relationship between T50 and the dilution of methylated into unmethylated DNA. We could quantitate the change in methylation over time in cell lines treated with the demethylating drug 5-aza-2'-deoxycytidine, and the differences in methylation associated with complete, clonal or no loss of MGMT expression in formalin fixed paraffin embedded tissues.Conclusion: We have validated a rapid, simple in-tube method to quantify methylation which is robust and reproducible, utilizes easily designed primers and does not need proprietary algorithms or software. The technique does not depend on any operator manipulation or interpretation of the melt curves, and is suitable for use in any laboratory with a real-time thermocycler. The parameters derived provide an objective description and quantitation of the methylation in a specimen, and can be used to for statistical comparisons of methylation between specimens.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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