Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Protocol
  • Published:

Detecting DNA double-stranded breaks in mammalian genomes by linear amplification–mediated high-throughput genome-wide translocation sequencing

Abstract

Unbiased, high-throughput assays for detecting and quantifying DNA double-stranded breaks (DSBs) across the genome in mammalian cells will facilitate basic studies of the mechanisms that generate and repair endogenous DSBs. They will also enable more applied studies, such as those to evaluate the on- and off-target activities of engineered nucleases. Here we describe a linear amplification–mediated high-throughput genome-wide sequencing (LAM-HTGTS) method for the detection of genome-wide 'prey' DSBs via their translocation in cultured mammalian cells to a fixed 'bait' DSB. Bait-prey junctions are cloned directly from isolated genomic DNA using LAM-PCR and unidirectionally ligated to bridge adapters; subsequent PCR steps amplify the single-stranded DNA junction library in preparation for Illumina Miseq paired-end sequencing. A custom bioinformatics pipeline identifies prey sequences that contribute to junctions and maps them across the genome. LAM-HTGTS differs from related approaches because it detects a wide range of broken end structures with nucleotide-level resolution. Familiarity with nucleic acid methods and next-generation sequencing analysis is necessary for library generation and data interpretation. LAM-HTGTS assays are sensitive, reproducible, relatively inexpensive, scalable and straightforward to implement with a turnaround time of <1 week.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Step-by-step overview of HTGTS methods.
Figure 2: Primer design and enzyme cutting site strategies for LAM-HTGTS.
Figure 3: Flowchart of the bioinformatic pipeline for translocation junction identification.
Figure 4: Representative smear of amplified and Illumina sequence–tagged products.
Figure 5: Universal bait detection of off-targets for designed VEGFA gRNA.

Similar content being viewed by others

References

  1. Nussenzweig, A. & Nussenzweig, M.C. Origin of chromosomal translocations in lymphoid cancer. Cell 141, 27–38 (2010).

    Article  CAS  Google Scholar 

  2. Alt, F.W., Zhang, Y., Meng, F.-L., Guo, C. & Schwer, B. Mechanisms of programmed DNA lesions and genomic instability in the immune system. Cell 152, 417–429 (2013).

    Article  CAS  Google Scholar 

  3. Hendel, A., Fine, E.J., Bao, G. & Porteus, M.H. Quantifying on- and off-target genome editing. Trends Biotechnol. 33, 132–140 (2015).

    Article  CAS  Google Scholar 

  4. Boboila, C., Alt, F.W. & Schwer, B. Classical and alternative end-joining pathways for repair of lymphocyte-specific and general DNA double-strand breaks. Adv. Immunol. 116, 1–49 (2012).

    Article  CAS  Google Scholar 

  5. Symington, L.S. & Gautier, J. Double-strand break end resection and repair pathway choice. Annu. Rev. Genet. 45, 247–271 (2011).

    Article  CAS  Google Scholar 

  6. Frock, R.L. et al. Genome-wide detection of DNA double-stranded breaks induced by engineered nucleases. Nat. Biotechnol. 33, 179–186 (2015).

    Article  CAS  Google Scholar 

  7. Wei, P.C. et al. Long neural genes harbor recurrent DNA break clusters in neural stem/progenitor cells. Cell 164, 644–655.

    Article  CAS  Google Scholar 

  8. Meng, F.-L. et al. Convergent transcription at intragenic super-enhancers targets AID-initiated genomic instability. Cell 159, 1538–1548 (2014).

    Article  CAS  Google Scholar 

  9. Hu, J. et al. Chromosomal loop domains direct the recombination of antigen receptor genes. Cell 163, 947–959 (2015).

    Article  CAS  Google Scholar 

  10. Dong, J. et al. Orientation-specific joining of AID-initiated DNA breaks promotes antibody class switching. Nature 525, 134–139 (2015).

    Article  CAS  Google Scholar 

  11. Chiarle, R. et al. Genome-wide translocation sequencing reveals mechanisms of chromosome breaks and rearrangements in B cells. Cell 147, 107–119 (2011).

    Article  CAS  Google Scholar 

  12. Gostissa, M. et al. IgH class switching exploits a general property of two DNA breaks to be joined in cis over long chromosomal distances. Proc. Natl. Acad. Sci. USA 111, 2644–2649 (2014).

    Article  CAS  Google Scholar 

  13. Zhang, Y. et al. Spatial organization of the mouse genome and its role in recurrent chromosomal translocations. Cell 148, 908–921 (2012).

    Article  CAS  Google Scholar 

  14. O′Malley, R.C., Alonso, J.M., Kim, C.J., Leisse, T.J. & Ecker, J.R. An adapter ligation-mediated PCR method for high-throughput mapping of T-DNA inserts in the Arabidopsis genome. Nat. Protoc. 2, 2910–2917 (2007).

    Article  Google Scholar 

  15. Williams, R. et al. Amplification of complex gene libraries by emulsion PCR. Nat. Methods 3, 545–550 (2006).

    Article  CAS  Google Scholar 

  16. Schmidt, M. et al. High-resolution insertion-site analysis by linear amplification–mediated PCR (LAM-PCR). Nat. Methods 4, 1051–1057 (2007).

    Article  CAS  Google Scholar 

  17. Paruzynski, A. et al. Genome-wide high-throughput integrome analyses by nrLAM-PCR and next-generation sequencing. Nat. Protoc. 5, 1379–1395 (2010).

    Article  CAS  Google Scholar 

  18. Zhou, Z.-X. et al. Mapping genomic hotspots of DNA damage by a single-strand-DNA-compatible and strand-specific ChIP-seq method. Genome Res. 23, 705–715 (2013).

    Article  CAS  Google Scholar 

  19. Langmead, B. & Salzberg, S.L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–359 (2012).

    Article  CAS  Google Scholar 

  20. Faust, G.G. & Hall, I.M. YAHA: fast and flexible long-read alignment with optimal breakpoint detection. Bioinformatics 28, 2417–2424 (2012).

    Article  CAS  Google Scholar 

  21. Schwer, B. et al. Transcription-associated processes cause DNA double-strand breaks and translocations in neural stem/progenitor cells. Proc. Natl. Acad. Sci. USA 113, 2258–2263 (2012).

    Article  Google Scholar 

  22. Kim, Y.G., Cha, J. & Chandrasegaran, S. Hybrid restriction enzymes: zinc finger fusions to Fok I cleavage domain. Proc. Natl Acad. Sci. USA 93, 1156–1160 (1996).

    Article  CAS  Google Scholar 

  23. Jinek, M. et al. A Programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity. Science 337, 816–821 (2012).

    Article  CAS  Google Scholar 

  24. Mali, P. et al. RNA-guided human genome engineering via Cas9. Science 339, 823–826 (2013).

    Article  CAS  Google Scholar 

  25. Cong, L. et al. Multiplex genome engineering using CRISPR/Cas systems. Science 339, 819–823 (2013).

    Article  CAS  Google Scholar 

  26. Kim, H. & Kim, J.-S. A guide to genome engineering with programmable nucleases. Nat. Rev. Genet. 15, 321–334 (2014).

    Article  CAS  Google Scholar 

  27. Tsai, S.Q. et al. GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases. Nat. Biotechnol. 33, 187–197 (2014).

    Article  Google Scholar 

  28. Wang, X. et al. Unbiased detection of off-target cleavage by CRISPR-Cas9 and TALENs using integrase-defective lentiviral vectors. Nat. Biotechnol. 33, 175–178 (2015).

    Article  CAS  Google Scholar 

  29. Zetsche, B. et al. Cpf1 is a single RNA-guided endonuclease of a class 2 CRISPR-Cas system. Cell 163, 759–771 (2015).

    Article  CAS  Google Scholar 

  30. Hu, J., Tepsuporn, S., Meyers, R.M., Gostissa, M. & Alt, F.W. Developmental propagation of V(D)J recombination-associated DNA breaks and translocations in mature B cells via dicentric chromosomes. Proc. Natl. Acad. Sci. USA 111, 10269–10274 (2014).

    Article  CAS  Google Scholar 

  31. Boboila, C. et al. Alternative end-joining catalyzes class switch recombination in the absence of both Ku70 and DNA ligase 4. J. Exp. Med. 207, 417–427 (2010).

    Article  Google Scholar 

  32. Teng, G. et al. RAG represents a widespread threat to the lymphocyte genome. Cell 162, 751–765 (2015).

    Article  CAS  Google Scholar 

  33. Klein, I.A. et al. Translocation-capture sequencing reveals the extent and nature of chromosomal rearrangements in B lymphocytes. Cell 147, 95–106 (2011).

    Article  CAS  Google Scholar 

  34. Barlow, J.H. et al. Identification of early replicating fragile sites that contribute to genome instability. Cell 152, 620–632 (2013).

    Article  CAS  Google Scholar 

  35. Khair, L., Baker, R.E., Linehan, E.K., Schrader, C.E. & Stavnezer, J. Nbs1 ChIP-seq identifies off-target DNA double-strand breaks induced by AID in activated splenic B cells. PLoS Genet. 11, e1005438 (2015).

    Article  Google Scholar 

  36. Baranello, L. et al. DNA break mapping reveals topoisomerase II activity genome-wide. Int. J. Mol. Sci. 15, 13111–13122 (2014).

    Article  CAS  Google Scholar 

  37. Crosetto, N. et al. Nucleotide-resolution DNA double-strand break mapping by next-generation sequencing. Nat. Methods 10, 361–365 (2013).

    Article  CAS  Google Scholar 

  38. Ran, F.A. et al. In vivo genome editing using Staphylococcus aureus Cas9. Nature 520, 186–191 (2015).

    Article  CAS  Google Scholar 

  39. Asaithamby, A. & Chen, D.J. Cellular responses to DNA double-strand breaks after low-dose -irradiation. Nucleic Acids Res. 37, 3912–3923 (2009).

    Article  CAS  Google Scholar 

  40. Roukos, V. et al. Spatial dynamics of chromosome translocations in living cells. Science 341, 660–664 (2013).

    Article  CAS  Google Scholar 

  41. Judo, M.S., Wedel, A.B. & Wilson, C. Stimulation and suppression of PCR-mediated recombination. Nucleic Acids Res. 26, 1819–1825 (1998).

    Article  CAS  Google Scholar 

  42. Clepet, C. Improved full-length cDNA production based on RNA tagging by T4 DNA ligase. Nucleic Acids Res. 32, 6e–6 (2004).

    Article  Google Scholar 

  43. Ran, F.A. et al. Genome engineering using the CRISPR-Cas9 system. Nat. Protoc. 8, 2281–2308 (2013).

    Article  CAS  Google Scholar 

  44. Kim, D. et al. Digenome-seq: genome-wide profiling of CRISPR-Cas9 off-target effects in human cells. Nat. Methods 12, 237–243 (2015).

    Article  CAS  Google Scholar 

  45. Gabriel, R. et al. An unbiased genome-wide analysis of zinc-finger nuclease specificity. Nat. Biotechnol. 29, 816–823 (2011).

    Article  CAS  Google Scholar 

  46. Veres, A. et al. Low incidence of off-target mutations in individual CRISPR-Cas9 and TALEN targeted human stem cell clones detected by whole-genome sequencing. Cell Stem Cell 15, 27–30 (2014).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank members of the Alt laboratory for discussions about improving LAM-HTGTS, and we thank Z. Herbert from the Molecular Biology Core Facilities at Dana-Farber Cancer Institute for discussions on transitioning HTGTS to Illumina Miseq. This work is supported by National Institutes of Health Grant nos. R01AI020047 and R01AI077595 to F.W.A. R.L.F. was supported by the National Institutes of Health National Research Service Award no. T32AI007512. J.H. is supported by a Robertson Foundation/Cancer Research Institute Irvington Fellowship. F.W.A. is an investigator of the Howard Hughes Medical Institute.

Author information

Authors and Affiliations

Authors

Contributions

J.H., R.M.M., F.W.A. and R.L.F. wrote the manuscript with additional comments from J.D. and R.A.P. J.H. and R.L.F. designed and experimentally developed the LAM-HTGTS approach and R.M.M. wrote the translocation pipeline program. J.H., R.L.F., J.D. and R.A.P. performed experiments quoted in the manuscript that used the LAM-HTGTS approach, and all authors analyzed data that contributed to the development and/or application of the approach.

Corresponding authors

Correspondence to Frederick W Alt or Richard L Frock.

Ethics declarations

Competing interests

A patent application has been filed relating to the current LAM-HTGTS method (International Application No. PCT/US2015/061758).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, J., Meyers, R., Dong, J. et al. Detecting DNA double-stranded breaks in mammalian genomes by linear amplification–mediated high-throughput genome-wide translocation sequencing. Nat Protoc 11, 853–871 (2016). https://doi.org/10.1038/nprot.2016.043

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nprot.2016.043

This article is cited by

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing