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A Rapid and Robust Protocol for Reduced Representation Bisulfite Sequencing in Multiple Myeloma

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 1792))

Abstract

Reduced representation bisulfite sequencing (RRBS) is one of the most comprehensive yet economic ways of mapping whole genome DNA-methylation. Here, we have substantially modified the RRBS protocol by combining end-repair and A-tailing steps, and by introducing a bead-based method for rapid and easy size selection of the library molecules. The method has been optimized for myeloma clinical samples, where the input DNA concentration can be as low as 100 ng. The method developed can be accomplished in 3 days, including the initial overnight MspI enzyme digestion. Although the protocol has been optimized in myeloma samples, it is broadly applicable to any clinical sample, which is restricted by very low input DNA concentrations.

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Change history

  • 07 February 2019

    In Chapter 4, the author’s name Homer Adams III has been modified to Adams HC 3rd, as requested by him.

References

  1. Esteller M (2008) Epigenetics in cancer. N Engl J Med 358(11):1148–1159. https://doi.org/10.1056/NEJMra072067

    Article  CAS  PubMed  Google Scholar 

  2. Egger G, Liang G, Aparicio A, Jones PA (2004) Epigenetics in human disease and prospects for epigenetic therapy. Nature 429(6990):457–463

    Article  CAS  PubMed  Google Scholar 

  3. Laird PW, Jaenisch R (1996) The role of DNA methylation in cancer genetic and epigenetics. Annu Rev Genet 30:441–464. https://doi.org/10.1146/annurev.genet.30.1.441

    Article  CAS  PubMed  Google Scholar 

  4. Choudhury SR, Cui Y, Lubecka K, Stefanska B, Irudayaraj J (2016) CRISPR-dCas9 mediated TET1 targeting for selective DNA demethylation at BRCA1 promoter. Oncotarget 7(29):46545–46556. https://doi.org/10.18632/oncotarget.10234

    Article  PubMed  PubMed Central  Google Scholar 

  5. Lister R, Pelizzola M, Dowen RH, Hawkins RD, Hon G, Tonti-Filippini J, Nery JR, Lee L, Ye Z, Ngo Q-M, Edsall L, Antosiewicz-Bourget J, Stewart R, Ruotti V, Millar AH, Thomson JA, Ren B, Ecker JR (2009) Human DNA methylomes at base resolution show widespread epigenomic differences. Nature 462(7271):315–322. http://www.nature.com/nature/journal/v462/n7271/suppinfo/nature08514_S1.html

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Bird A (2002) DNA methylation patterns and epigenetic memory. Genes Dev 16(1):6–21. https://doi.org/10.1101/gad.947102

    Article  CAS  PubMed  Google Scholar 

  7. Li E, Beard C, Jaenisch R (1993) Role for DNA methylation in genomic imprinting. Nature 366(6453):362–365. https://doi.org/10.1038/366362a0

    Article  CAS  PubMed  Google Scholar 

  8. Weber M, Davies JJ, Wittig D, Oakeley EJ, Haase M, Lam WL, Schubeler D (2005) Chromosome-wide and promoter-specific analyses identify sites of differential DNA methylation in normal and transformed human cells. Nat Genet 37(8):853–862. http://www.nature.com/ng/journal/v37/n8/suppinfo/ng1598_S1.html

    Article  CAS  PubMed  Google Scholar 

  9. Meissner A, Mikkelsen TS, Gu H, Wernig M, Hanna J, Sivachenko A, Zhang X, Bernstein BE, Nusbaum C, Jaffe DB, Gnirke A, Jaenisch R, Lander ES (2008) Genome-scale DNA methylation maps of pluripotent and differentiated cells. Nature 454(7205):766–770. http://www.nature.com/nature/journal/v454/n7205/suppinfo/nature07107_S1.html

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Meissner A, Gnirke A, Bell GW, Ramsahoye B, Lander ES, Jaenisch R (2005) Reduced representation bisulfite sequencing for comparative high-resolution DNA methylation analysis. Nucleic Acids Res 33(18):5868–5877. https://doi.org/10.1093/nar/gki901

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Gu H, Bock C, Mikkelsen TS, Jager N, Smith ZD, Tomazou E, Gnirke A, Lander ES, Meissner A (2010) Genome-scale DNA methylation mapping of clinical samples at single-nucleotide resolution. Nat Methods 7(2):133–136. https://doi.org/10.1038/nmeth.1414

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Guo H, Zhu P, Yan L, Li R, Hu B, Lian Y, Yan J, Ren X, Lin S, Li J, Jin X, Shi X, Liu P, Wang X, Wang W, Wei Y, Li X, Guo F, Wu X, Fan X, Yong J, Wen L, Xie SX, Tang F, Qiao J (2014) The DNA methylation landscape of human early embryos. Nature 511(7511):606–610. https://doi.org/10.1038/nature13544. http://www.nature.com/nature/journal/v511/n7511/abs/nature13544.html#supplementary-information

    Article  CAS  PubMed  Google Scholar 

  13. Morgan GJ, Walker BA, Davies FE (2012) The genetic architecture of multiple myeloma. Nat Rev Cancer 12(5):335–348. https://doi.org/10.1038/nrc3257

    Article  CAS  PubMed  Google Scholar 

  14. Walker BA, Wardell CP, Chiecchio L, Smith EM, Boyd KD, Neri A, Davies FE, Ross FM, Morgan GJ (2011) Aberrant global methylation patterns affect the molecular pathogenesis and prognosis of multiple myeloma. Blood 117(2):553–562. https://doi.org/10.1182/blood-2010-04-279539

    Article  CAS  PubMed  Google Scholar 

  15. Kaiser MF, Johnson DC, Wu P, Walker BA, Brioli A, Mirabella F, Wardell CP, Melchor L, Davies FE, Morgan GJ (2013) Global methylation analysis identifies prognostically important epigenetically inactivated tumor suppressor genes in multiple myeloma. Blood 122(2):219–226. https://doi.org/10.1182/blood-2013-03-487884

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Salhia B, Baker A, Ahmann G, Auclair D, Fonsa R, Carpten J (2010) DNA methylation analysis determines the high frequency of genic hypomethylation and low frequency of hypermethylation events in plasma cell tumors. Cancer Res 70(17):6934–6944. https://doi.org/10.1158/0008-5472.can-10-0282

    Article  CAS  PubMed  Google Scholar 

  17. Bollati V, Fabris S, Pegoraro V, Ronchetti D, Mosca L, Deliliers GL, Motta V, Bertazzi PA, Baccarelli A, Neri A (2009) Differential repetitive DNA methylation in multiple myeloma molecular subgroups. Carcinogenesis 30(8):1330–1335. https://doi.org/10.1093/carcin/bgp149

    Article  CAS  PubMed  Google Scholar 

  18. Wang T, Liu Q, Li X, Wang X, Li J, Zhu X, Sun ZS, Wu J (2013) RRBS-analyser: a comprehensive web server for reduced representation bisulfite sequencing data analysis. Hum Mutat 34(12):1606–1610. https://doi.org/10.1002/humu.22444

    Article  CAS  PubMed  Google Scholar 

  19. Xi Y, Bock C, Muller F, Sun D, Meissner A, Li W (2012) RRBSMAP: a fast, accurate and user-friendly alignment tool for reduced representation bisulfite sequencing. Bioinformatics 28(3):430–432. https://doi.org/10.1093/bioinformatics/btr668

    Article  CAS  PubMed  Google Scholar 

  20. Krueger F, Andrews SR (2011) Bismark: a flexible aligner and methylation caller for bisulfite-Seq applications. Bioinformatics 27(11):1571–1572. https://doi.org/10.1093/bioinformatics/btr167

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R (2009) The sequence alignment/map format and SAMtools. Bioinformatics 25(16):2078–2079. https://doi.org/10.1093/bioinformatics/btp352

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Correspondence to Brian A. Walker .

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Choudhury, S.R., Walker, B.A. (2018). A Rapid and Robust Protocol for Reduced Representation Bisulfite Sequencing in Multiple Myeloma. In: Heuck, C., Weinhold, N. (eds) Multiple Myeloma. Methods in Molecular Biology, vol 1792. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-7865-6_13

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  • DOI: https://doi.org/10.1007/978-1-4939-7865-6_13

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-7864-9

  • Online ISBN: 978-1-4939-7865-6

  • eBook Packages: Springer Protocols

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