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MethylQuant: A Real-Time PCR-Based Method to Quantify DNA Methylation at Single Specific Cytosines

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DNA Methylation

Part of the book series: Methods in Molecular Biology ((MIMB,volume 507))

Abstract

MethylQuant is a cost-effective and relatively simple technique which enables quantitative analysis of the methylation status of a single cytosine at specific positions in DNA that can be assimilated to the quantitative detection of a single nucleotide polymorphism (SNP). After bisulfite conversion of DNA and PCR amplification of the region of interest, the methylation status is quantified by methylation-specific real-time PCR with one of the primers harboring the methylation status-specific nucleotide at the most 3′ end. In parallel, the amount of amplifiable DNA is quantified by a methylation-independent real-time PCR. In this protocol, we describe in detail the different stages of the MethylQuant procedure and discuss the parameters of DNA bisulfite conversion and quantitative PCR analysis with SYBR green that are crucial to achieve an accurate quantification of the methylation status of a particular cytosine. The practical aspects of DNA bisulfite conversion, primer design, and quantitative PCR analysis, discussed hereafter, should be of general interest even outside the context of the MethylQuant technique.

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References

  1. Bird, A. P. (2002) DNA methylation patterns and epigenetic memory. Genes Dev 16, 6–21.

    Article  CAS  PubMed  Google Scholar 

  2. Hsieh, C. L. (1994) Dependence of transcriptional repression on CpG methylation density. Mol Cell Biol 14, 5487–5494.

    CAS  PubMed  Google Scholar 

  3. Weber, M., Hellmann, I., Stadler, M. B., et al. (2007) Distribution, silencing potential and evolutionary impact of promoter DNA methylation in the human genome. Nat Genet 39, 457–466.

    Article  CAS  PubMed  Google Scholar 

  4. Fraga, M. F., Esteller, M. (2002) DNA methylation: a profile of methods and applications. Biotechniques 33, 632–649.

    CAS  PubMed  Google Scholar 

  5. Thomassin, H., Oakeley, E. J., Grange, T. (1999) Identification of 5-methylcytosine in complex genomes. Methods 19, 465–475.

    Article  CAS  PubMed  Google Scholar 

  6. Thomassin, H., Flavin, M., Espinas, M. L., et al. (2001) Glucocorticoid-induced DNA demethylation and gene memory during development. Embo J 20, 1974–1983.

    Article  CAS  PubMed  Google Scholar 

  7. Grange, T., Bertrand, E., Rigaud, G., et al. (1997) In vivo footprinting of the interaction of proteins with DNA and RNA. Methods 11, 151–163.

    Article  CAS  PubMed  Google Scholar 

  8. Clark, S. J., Harrison, J., Paul, C. L., et al. (1994) High sensitivity mapping of methylated cytosines. Nucleic Acids Res 22, 2990–2997.

    Article  CAS  PubMed  Google Scholar 

  9. Tost, J., Dunker, J., Gut, I. G. (2003) Analysis and quantification of multiple methylation variable positions in CpG islands by pyrosequencing. Biotechniques 35, 152–156.

    CAS  PubMed  Google Scholar 

  10. Eads C. A., Danenberg, K. D., Kawakami, K., et al. (2000) MethyLight: a high-throughput assay to measure DNA methylation. Nucleic Acids Res 28, e32.

    Article  CAS  PubMed  Google Scholar 

  11. Cottrell, S. E., Distler, J., Goodman, N. S., et al. (2004) A real-time PCR assay for DNA-methylation using methylation-specific blockers. Nucleic Acids Res 32, e10.

    Article  PubMed  Google Scholar 

  12. Zeschnigk, M., Bohringer, S., Price, E. A., et al. (2004) A novel real-time PCR assay for quantitative analysis of methylated alleles (QAMA): analysis of the retinoblastoma locus. Nucleic Acids Res 32, e125.

    Article  PubMed  Google Scholar 

  13. Thomassin, H., Kress, C., Grange, T. (2004) MethylQuant: a sensitive method for quantifying methylation of specific cytosines within the genome. Nucleic Acids Res 32, e168.

    Article  PubMed  Google Scholar 

  14. Ting, A. H., McGarvey, K. M., Baylin, S. B. (2006) The cancer epigenome: components and functional correlates. Genes Dev 20, 3215–3231.

    Article  CAS  PubMed  Google Scholar 

  15. Kress, C., Thomassin, H., Grange, T. (2006) Active cytosine demethylation triggered by a nuclear receptor involves DNA strand breaks. Proc Natl Acad Sci USA 103, 11112–11117.

    Article  CAS  PubMed  Google Scholar 

  16. Melchior, W. B., Jr., Von Hippel, P. H. (1973) Alteration of the relative stability of dA-dT and dG-dC base pairs in DNA. Proc Natl Acad Sci USA 70, 298–302.

    Article  CAS  PubMed  Google Scholar 

  17. Latorra, D., Campbell, K., Wolter, A., et al. (2003) Enhanced allele-specific PCR discrimination in SNP genotyping using 3\(^\prime\) locked nucleic acid (LNA) primers. Hum Mutat 22, 79–85.

    Article  CAS  PubMed  Google Scholar 

  18. Martin, F. H., Castro, M. M., Aboul-ela, F., et al. (1985) Base pairing involving deoxyinosine: implications for probe design. Nucleic Acids Res 13, 8927–8938.

    Article  CAS  PubMed  Google Scholar 

  19. Olek, A., Oswald, J., Walter, J. (1996) A modified and improved method for bisulphite based cytosine methylation analysis. Nucleic Acids Res 24, 5064–5066.

    Article  CAS  PubMed  Google Scholar 

  20. Rozen, S., Skaletsky, H. (2000) Primer3 on the WWW for general users and for biologist programmers. Methods Mol Biol 132, 365–386.

    CAS  PubMed  Google Scholar 

  21. Breslauer, K. J., Frank, R., Blocker, H., et al. (1986) Predicting DNA duplex stability from the base sequence. Proc Natl Acad Sci USA 83, 3746–3750.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

This work was supported in part by the CNRS and by grants from the Association de Recherche sur le Cancer and the Ligue Nationale contre le Cancer. C. D. D. was supported by a fellowship from the Association de Recherche sur le Cancer. We thank E.M. Geigl, C. Brossas and A. Kropfinger for critical reading of the manuscript.

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© 2009 Humana Press, a part of Springer Science+Business Media, LLC

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Dugast-Darzacq, C., Grange, T. (2009). MethylQuant: A Real-Time PCR-Based Method to Quantify DNA Methylation at Single Specific Cytosines. In: Tost, J. (eds) DNA Methylation. Methods in Molecular Biology, vol 507. Humana Press. https://doi.org/10.1007/978-1-59745-522-0_21

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  • DOI: https://doi.org/10.1007/978-1-59745-522-0_21

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-934115-61-9

  • Online ISBN: 978-1-59745-522-0

  • eBook Packages: Springer Protocols

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