Skip to main content

Quantitative DNA–RNA Immunoprecipitation Sequencing with Spike-Ins

  • Protocol
  • First Online:
R-Loops

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2528))

Abstract

R-loops are three-stranded nucleic acid structures, comprising an RNA–DNA hybrid and a displaced strand of ssDNA. R-loops have important physiological roles in cells, but deregulation of R-loop dynamics can also have harmful cellular outcomes. The genome-wide mapping of R-loops offers an unbiased approach to study R-loop biology in a wide range of contexts. Here we present a protocol to sequence RNA–DNA hybrids genome-wide with strand-specificity and high resolution. We also include information on how to prepare and incorporate into the workflow appropriate internal spike-in standards which facilitate accurate normalization of the sequencing signal, thereby providing quantitative insights into R-loop formation between different experimental samples.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
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. Crossley MP, Bocek M, Cimprich KA (2019) R-loops as cellular regulators and genomic threats. Mol Cell 73:398–411

    Article  CAS  Google Scholar 

  2. Ginno PA, Lott PL, Christensen HC, Korf I, Chedin F (2012) R-loop formation is a distinctive characteristic of unmethylated human CpG island promoters. Mol Cell 45:814–825

    Article  CAS  Google Scholar 

  3. Loven J, Orlando DA, Sigova AA, Lin CY, Rahl PB, Burge CB, Levens DL, Lee TI, Young RA (2012) Revisiting global gene expression analysis. Cell 151:476–482

    Article  CAS  Google Scholar 

  4. Hu Z, Chen K, Xia Z, Chavez M, Pal S, Seol JH, Chen CC, Li W, Tyler JK (2014) Nucleosome loss leads to global transcriptional up-regulation and genomic instability during yeast aging. Genes Dev 28:396–408

    Article  CAS  Google Scholar 

  5. Chen K, Hu Z, Xia Z, Zhao D, Li W, Tyler JK (2015) The overlooked fact: fundamental need for spike-in control for virtually all genome-wide analyses. Mol Cell Biol 36:662–667

    Article  Google Scholar 

  6. Orlando DA, Chen MW, Brown VE, Solanki S, Choi YJ, Olson ER, Fritz CC, Bradner JE, Guenther MG (2014) Quantitative ChIP-Seq normalization reveals global modulation of the epigenome. Cell Rep 9:1163–1170

    Article  CAS  Google Scholar 

  7. Crossley MP, Bocek MJ, Hamperl S, Swigut T, Cimprich KA (2020) qDRIP: a method to quantitatively assess RNA–DNA hybrid formation genome-wide. Nucleic Acids Res 48:e84

    Article  CAS  Google Scholar 

  8. Jiang L, Schlesinger F, Davis CA, Zhang Y, Li R, Salit M, Gingeras TR, Oliver B (2011) Synthetic spike-in standards for RNA-seq experiments. Genome Res 21:1543–1551

    Article  CAS  Google Scholar 

  9. Santos-Pereira JM, Aguilera A (2015) R loops: new modulators of genome dynamics and function. Nat Rev Genet 16:583–597

    Article  CAS  Google Scholar 

  10. Castillo-Guzman D, Hartono SR, Sanz LA, Chédin F SF3B1-targeted splicing inhibition triggers global alterations in transcriptional dynamics and R-loop metabolism. https://doi.org/10.1101/2020.06.08.130583

  11. Laitem C, Zaborowska J, Isa NF, Kufs J, Dienstbier M, Murphy S (2015) CDK9 inhibitors define elongation checkpoints at both ends of RNA polymerase II-transcribed genes. Nat Struct Mol Biol 22:396–403

    Article  CAS  Google Scholar 

  12. Abraham KJ et al (2020) Nucleolar RNA polymerase II drives ribosome biogenesis. Nature 585:298–302

    Article  CAS  Google Scholar 

  13. Svikovic S, Crisp A, Tan-Wong SM, Guilliam TA, Doherty AJ, Proudfoot NJ, Guilbaud G, Sale JE (2019) R-loop formation during S phase is restricted by PrimPol-mediated repriming. EMBO J 38:e99793

    Article  Google Scholar 

  14. Sun Y, Sriramajayam K, Luo D, Liao DJ (2012) A quick, cost-free method of purification of DNA fragments from agarose gel. J Cancer 3:93–95

    Article  CAS  Google Scholar 

  15. Sanz L, Chedin F (2019) High-resolution, strand-specific R-loop mapping via S9.6-based DNA–RNA immunoprecipitation and high-throughput sequencing. Nat Protoc 14:1734–1755

    Article  CAS  Google Scholar 

  16. Chedin F, Hartono SR, Sanz LA, Vanoosthuyse V (2021) Best practices for the visualization, mapping and manipulation of R-loops. EMBO J 40:e106394

    Article  CAS  Google Scholar 

Download references

Acknowledgments

We thank Stephan Hamperl and Joshua Brickner for valuable feedback. This work was supported by the Leukemia and Lymphoma Society [5455-17 to M.P.C.]; National Institutes of Health [GM119334 to K.A.C., S10OD018220 to the Stanford Functional Genomics Facility]. K.A.C. is an ACS Research Professor.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Magdalena P. Crossley or Karlene A. Cimprich .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

About this protocol

Check for updates. Verify currency and authenticity via CrossMark

Cite this protocol

Crossley, M.P., Cimprich, K.A. (2022). Quantitative DNA–RNA Immunoprecipitation Sequencing with Spike-Ins. In: Aguilera, A., Ruzov, A. (eds) R-Loops . Methods in Molecular Biology, vol 2528. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2477-7_26

Download citation

  • DOI: https://doi.org/10.1007/978-1-0716-2477-7_26

  • Published:

  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2476-0

  • Online ISBN: 978-1-0716-2477-7

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics