Skip to main content

Determining DNA Methylation Profiles Using Sequencing

  • Protocol
  • First Online:
High-Throughput Next Generation Sequencing

Part of the book series: Methods in Molecular Biology ((MIMB,volume 733))

Abstract

Cytosine methylation is an epigenetic mark that has a significant impact on the regulation of transcription and replication of DNA. DNA methylation patterns are highly conserved across cell divisions and are therefore highly heritable. Furthermore, in multicellular organisms, DNA methylation patterning is a key determinant of cellular differentiation and tissue-specific expression patterns. Lastly, DNA demethylases can affect global levels of DNA methylation during specific stages of development. Bisulfite sequencing is considered the gold standard for measuring the methylation state of cytosines. Sodium bisulfite ­converts unmethylated cytosines to uracils (which after PCR are converted to thymines), while leaving methylated cytosines unconverted. By mapping bisulfite treated DNA back to the original reference genome, it is then possible to determine the methylation state of individual cytosines. With the advent of next-generation sequencers during the past few years, it is now possible to determine the methylation state of an entire genome. Here, we describe in detail two protocols for preparing bisulfite treated libraries, which may be sequenced using Illumina GAII sequencers. The first of these uses premethylated adapters, which are not affected by bisulfite treatments, while the second uses a two-stage adapter strategy and does not require premethylation of the adapters. We also describe the specialized protocol for mapping bisulfite converted reads. These approaches allow one to determine the methylation state of each cytosine in the genome.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Goll, M.G. and T.H. Bestor (2005) Eukaryotic cytosine methyltransferases. Annu Rev Biochem. 74, 481–514.

    Article  PubMed  CAS  Google Scholar 

  2. Chan, S.W., Zilberman, D., Xie, Z., Johansen, L. K., Carrington, J. C., and Jacobsen, S. E. (2004) RNA silencing genes control de novo DNA methylation. Science 303, 1336.

    Article  PubMed  CAS  Google Scholar 

  3. Jones, P.A. and Takai, D. (2001) The role of DNA methylation in mammalian epigenetics. Science 293, 1068  –1070.

    Article  PubMed  CAS  Google Scholar 

  4. Martienssen, R.A. and V. Colot (2001) DNA methylation and epigenetic inheritance in plants and filamentous fungi. Science 293, 1070  –1074.

    Article  PubMed  CAS  Google Scholar 

  5. McCabe, M. T., Brandes, J. C., and Vertino, P. M. (2009) Cancer DNA methylation: molecular mechanisms and clinical implications. Clin. Cancer Res. 15, 3927  –3937.

    Article  PubMed  CAS  Google Scholar 

  6. Cokus, S.J., Feng, S., Zhang, X., Chen, Z., Merriman, B., Haudenschild, C. D., et al., (2008) Shotgun bisulphite sequencing of the Arabidopsis genome reveals DNA methylation patterning. Nature 452, 215–219.

    Article  PubMed  CAS  Google Scholar 

  7. Lister, R., O’Malley, R. C., Tonti-Filippini, J., Gregory, B. D., Berry, C. C., Millar, A. H., and Ecker, J. R. (2008) Highly integrated single-base resolution maps of the epigenome in Arabidopsis. Cell 133, 523–536.

    Article  PubMed  CAS  Google Scholar 

  8. Lister, R., Pelizzola, M., Dowen, R. H., Hawkins, R. D., Hon, G., Tonti-Filippini, J., et al. (2009) Human DNA methylomes at base resolution show widespread epigenomic differences. Nature 462, 315  –322.

    Article  PubMed  CAS  Google Scholar 

  9. Meissner, A., Gnirke, A., Bell, G. W., Ramsahoye, B., Lander, E. S., and Jaenisch, R. (2005) Reduced representation bisulfite sequenc­ing for comparative high-resolution DNA methylation analysis. Nucleic Acids Res. 33, 5868–5877.

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Matteo Pellegrini .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this protocol

Cite this protocol

Feng, S., Rubbi, L., Jacobsen, S.E., Pellegrini, M. (2011). Determining DNA Methylation Profiles Using Sequencing. In: Kwon, Y., Ricke, S. (eds) High-Throughput Next Generation Sequencing. Methods in Molecular Biology, vol 733. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-61779-089-8_16

Download citation

  • DOI: https://doi.org/10.1007/978-1-61779-089-8_16

  • Published:

  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-61779-088-1

  • Online ISBN: 978-1-61779-089-8

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics