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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Crossley MP, Bocek M, Cimprich KA (2019) R-loops as cellular regulators and genomic threats. Mol Cell 73:398–411
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
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
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
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
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
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
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
Santos-Pereira JM, Aguilera A (2015) R loops: new modulators of genome dynamics and function. Nat Rev Genet 16:583–597
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
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
Abraham KJ et al (2020) Nucleolar RNA polymerase II drives ribosome biogenesis. Nature 585:298–302
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
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
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
Chedin F, Hartono SR, Sanz LA, Vanoosthuyse V (2021) Best practices for the visualization, mapping and manipulation of R-loops. EMBO J 40:e106394
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
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
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