Skip to main content

Studying DNA Methylation in Single-Cell Format with scBS-seq

  • Protocol
  • First Online:

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1979))

Abstract

DNA methylation at cytosine is a major epigenetic mark, heavily implicated in controlling key cellular processes such as development and differentiation, cellular memory, or carcinogenesis. Bisulfite treatment in conjunction with next generation sequencing has been a powerful tool for studying this modification in a quantitative manner in the context of the whole genome and with a single nucleotide resolution. This chapter describes a protocol for bisulfite sequencing adapted to a single-cell format that allows for capturing the methylation signal from up to 50% CpG nucleotides in each cell.

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

Buying options

Protocol
USD   49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
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

Learn about institutional subscriptions

Springer Nature is developing a new tool to find and evaluate Protocols. Learn more

References

  1. Jabbari K, Bernardi G (2004) Cytosine methylation and CpG, TpG (CpA) and TpA frequencies. Gene 333:143–149

    Article  CAS  Google Scholar 

  2. Fernandez AF, Assenov Y, Martin-Subero JI et al (2012) A DNA methylation fingerprint of 1628 human samples. Genome Res 22:407–419

    Article  CAS  Google Scholar 

  3. Bird A (2002) DNA methylation patterns and epigenetic memory. Genes Dev 16:6–21

    Article  CAS  Google Scholar 

  4. Law JA, Jacobsen SE (2010) Establishing, maintaining and modifying DNA methylation patterns in plants and animals. Nat Rev Genet 11:204–220

    Article  CAS  Google Scholar 

  5. Kurdyukov S, Bullock M (2016) DNA methylation analysis: choosing the right method. Biology 5. https://doi.org/10.3390/biology5010003

  6. Frommer M, LE MD, Millar DS et al (1992) A genomic sequencing protocol that yields a positive display of 5-methylcytosine residues in individual DNA strands. Proc Natl Acad Sci U S A 89:1827–1831

    Article  CAS  Google Scholar 

  7. Lister R, Pelizzola M, Dowen RH et al (2009) Human DNA methylomes at base resolution show widespread epigenomic differences. Nature 462:315–322

    Article  CAS  Google Scholar 

  8. Smallwood SA, Lee HJ, Angermueller C et al (2014) Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity. Nat Methods 11:817–820

    Article  CAS  Google Scholar 

  9. Farlik M, Sheffield NC, Nuzzo A et al (2015) Single-cell DNA methylome sequencing and bioinformatic inference of epigenomic cell-state dynamics. Cell Rep 10:1386–1397

    Article  CAS  Google Scholar 

  10. Gravina S, Dong X, Yu B, Vijg J (2016) Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome. Genome Biol 17:150

    Article  Google Scholar 

  11. Guo H, Zhu P, Wu X et al (2013) Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing. Genome Res 23:2126–2135

    Article  CAS  Google Scholar 

  12. Bogdanović O, Lister R (2017) DNA methylation and the preservation of cell identity. Curr Opin Genet Dev 46:9–14

    Article  Google Scholar 

  13. Clark SJ, Smallwood SA, Lee HJ et al (2017) Genome-wide base-resolution mapping of DNA methylation in single cells using single-cell bisulfite sequencing (scBS-seq). Nat Protoc 12:534–547

    Article  CAS  Google Scholar 

  14. Miura F, Enomoto Y, Dairiki R, Ito T (2012) Amplification-free whole-genome bisulfite sequencing by post-bisulfite adaptor tagging. Nucleic Acids Res 40:e136

    Article  CAS  Google Scholar 

  15. Angermueller C, Clark SJ, Lee HJ et al (2016) Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity. Nat Methods 13:229–232

    Article  CAS  Google Scholar 

  16. Clark SJ, Argelaguet R, Kapourani C-A et al (2018) scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells. Nat Commun 9:781

    Article  Google Scholar 

  17. Quail MA, Otto TD, Gu Y et al (2011) Optimal enzymes for amplifying sequencing libraries. Nat Methods 9:10–11

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Natalia Kunowska .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Science+Business Media, LLC, part of Springer Nature

About this protocol

Check for updates. Verify currency and authenticity via CrossMark

Cite this protocol

Kunowska, N. (2019). Studying DNA Methylation in Single-Cell Format with scBS-seq. In: Proserpio, V. (eds) Single Cell Methods. Methods in Molecular Biology, vol 1979. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9240-9_15

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-9240-9_15

  • Published:

  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-9239-3

  • Online ISBN: 978-1-4939-9240-9

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics