Cited by 216CRISPR and Genetic EngineeringDNA Repair MechanismsRNA regulation and disease

Massively parallel profiling and predictive modeling of the outcomes of CRISPR/Cas9-mediated double-strand break repair

Open access
Chen, Wei, McKenna, Aaron, Schreiber, Jacob, Haeussler, Maximilian, Yin, Yi, Agarwal, Vikram, Noble, William Stafford, Shendure, Jay·2019·Nucleic Acids Research

Published version of a preprint

Abstract

Non-homologous end-joining (NHEJ) plays an important role in double-strand break (DSB) repair of DNA. Recent studies have shown that the error patterns of NHEJ are strongly biased by sequence context, but these studies were based on relatively few templates. To investigate this more thoroughly, we systematically profiled ∼1.16 million independent mutational events resulting from CRISPR/Cas9-mediated cleavage and NHEJ-mediated DSB repair of 6872 synthetic target sequences, introduced into a human cell line via lentiviral infection. We find that: (i) insertions are dominated by 1 bp events templated by sequence immediately upstream of the cleavage site, (ii) deletions are predominantly associated with microhomology and (iii) targets exhibit variable but reproducible diversity with respect to the number and relative frequency of the mutational outcomes to which they give rise. From these data, we trained a model that uses local sequence context to predict the distribution of mutational outcomes. Exploiting the bias of NHEJ outcomes towards microhomology mediated events, we demonstrate the programming of deletion patterns by introducing microhomology to specific locations in the vicinity of the DSB site. We anticipate that our results will inform investigations of DSB repair mechanisms as well as the design of CRISPR/Cas9 experiments for diverse applications including genome-wide screens, gene therapy, lineage tracing and molecular recording.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/nar/gkz487

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • gRNA-Cas9 nuclease-induced DSBs repaired by NHEJ resulted in 1-10 bp deletions or 1 bp insertions in as many as 90% of cells.

    “The gRNA–Cas9 nuclease complex directed double-stranded breaks (DSBs) at target sites, which after repair by error-prone non-homologous end-joining (NHEJ)196,197, resulted in 1–10 bp deletions or 1 bp insertions (‘indels’) in as many as 90% of cells192,194 (Figure 2a).”

    From Towards a comprehensive catalogue of validated and target-linked human enhancers (2020) · cites this paper as [197]

    The Results section, “Development of a massively parallel strategy to profile NHEJ-mediated genome edits” (page unavailable), reports that only 9.8% of measured UMIs were wild type, deletions were predominantly small, and most insertions were 1 bp. The “Extensive use of microhomology in NHEJ-mediated deletions” section describes common deletion lengths within 1–10 bp. But the paper does not establish that 90% of cells had specifically 1–10 bp deletions or 1 bp insertions: its approximately 90% figure concerns edited UMIs, not cells or that restricted set of outcomes. (LLM, conf=0.87)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 43

  1. [1]Hsu P.D., Lander E.S., Zhang F. Development and applications of CRISPR-Cas9 for genome engineering. Cell. 2014; 157: 1262– 1278. 24906146 PMC4343198
  2. [3]Bétermier M., Bertrand P., Lopez B.S. Is non-homologous end-joining really an inherently error-prone process. PLoS Genet. 2014; 10: e1004086. 24453986 PMC3894167
  3. [4]Sfeir A., Symington L.S. Microhomology-mediated end joining: a back-up survival mechanism or dedicated pathway. Trends Biochem. Sci. 2015; 40: 701– 714. 26439531 PMC4638128
  4. [5]Mali P., Yang L., Esvelt K.M., Aach J., Guell M., DiCarlo J.E., Norville J.E., Church G.M. RNA-guided human genome engineering via Cas9. Science. 2013; 339: 823– 826. 23287722 PMC3712628
  5. [6]Cong L., Ran F.A., Cox D., Lin S., Barretto R., Habib N., Hsu P.D., Wu X., Jiang W., Marraffini L.A. et al. Multiplex genome engineering using CRISPR/Cas systems. Science. 2013; 339: 819– 823. 23287718 PMC3795411
  6. [7]Jinek M., East A., Cheng A., Lin S., Ma E., Doudna J. RNA-programmed genome editing in human cells. Elife. 2013; 2: e00471. 23386978 PMC3557905
  7. [10]Klein J.C., Chen W., Gasperini M., Shendure J. Identifying novel enhancer elements with CRISPR-Based screens. ACS Chem. Biol. 2018; 13: 326– 332. 29300083 PMC6218247
  8. [11]McKenna A., Findlay G.M., Gagnon J.A., Horwitz M.S., Schier A.F., Shendure J. Whole-organism lineage tracing by combinatorial and cumulative genome editing. Science. 2016; 353: aaf7907. 27229144 PMC4967023
  9. [12]Frieda K.L., Linton J.M., Hormoz S., Choi J., Chow K.-H.K., Singer Z.S., Budde M.W., Elowitz M.B., Cai L. Synthetic recording and in situ readout of lineage information in single cells. Nature. 2017; 541: 107– 111. 27869821 PMC6487260
  10. [13]Kalhor R., Kalhor K., Mejia L., Leeper K., Graveline A., Mali P., Church G.M. Developmental barcoding of whole mouse via homing CRISPR. Science. 2018; 361: eaat9804. 30093604 PMC6139672
  11. [14]van Overbeek M., Capurso D., Carter M.M., Thompson M.S., Frias E., Russ C., Reece-Hoyes J.S., Nye C., Gradia S., Vidal B. et al. DNA repair profiling reveals nonrandom outcomes at Cas9-mediated breaks. Mol. Cell. 2016; 63: 633– 646. 27499295
  12. [15]Aubrey B.J., Kelly G.L., Kueh A.J., Brennan M.S., O’Connor L., Milla L., Wilcox S., Tai L., Strasser A., Herold M.J. An inducible lentiviral guide RNA platform enables the identification of tumor-essential genes and tumor-promoting mutations in vivo. Cell Rep. 2015; 10: 1422– 1432. 25732831
  13. [16]Chang H.H.Y., Watanabe G., Gerodimos C.A., Ochi T., Blundell T.L., Jackson S.P., Lieber M.R. Different DNA end configurations dictate which NHEJ components are most important for joining efficiency. J. Biol. Chem. 2016; 291: 24377– 24389. 27703001 PMC5114395
  14. [17]Bothmer A., Phadke T., Barrera L.A., Margulies C.M., Lee C.S., Buquicchio F., Moss S., Abdulkerim H.S., Selleck W., Jayaram H. et al. Characterization of the interplay between DNA repair and CRISPR/Cas9-induced DNA lesions at an endogenous locus. Nat. Commun. 2017; 8: 13905. 28067217 PMC5227551
  15. [18]Haeussler M., Schönig K., Eckert H., Eschstruth A., Mianné J., Renaud J.-B., Schneider-Maunoury S., Shkumatava A., Teboul L., Kent J. et al. Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR. Genome Biol. 2016; 17: 148. 27380939 PMC4934014
  16. [22]Kosicki M., Tomberg K., Bradley A. Repair of double-strand breaks induced by CRISPR–Cas9 leads to large deletions and complex rearrangements. Nat. Biotechnol. 2018; 36: 765– 771. 30010673 PMC6390938
  17. [23]Lemos B.R., Kaplan A.C., Bae J.E., Ferrazzoli A.E., Kuo J., Anand R.P., Waterman D.P., Haber J.E. CRISPR/Cas9 cleavages in budding yeast reveal templated insertions and strand-specific insertion/deletion profiles. Proc. Natl. Acad. Sci. U.S.A. 2018; 115: E2040– E2047. 29440496 PMC5834694
  18. [24]Wu X., Bartel D.P. kpLogo: positional k-mer analysis reveals hidden specificity in biological sequences. Nucleic Acids Res. 2017; 45: W534– W538. 28460012 PMC5570168
  19. [26]Stephenson A.A., Raper A.T., Suo Z. Bidirectional degradation of DNA cleavage products catalyzed by CRISPR/Cas9. J. Am. Chem. Soc. 2018; 140: 3743– 3750. 29461055
  20. [27]Deriano L., Roth D.B. Modernizing the nonhomologous end-joining repertoire: alternative and classical NHEJ share the stage. Annu. Rev. Genet. 2013; 47: 433– 455. 24050180
  21. [28]Pannunzio N.R., Li S., Watanabe G., Lieber M.R. Non-homologous end joining often uses microhomology: implications for alternative end joining. DNA Repair. 2014; 17: 74– 80. 24613510 PMC4440676
  22. [29]Conlin M.P., Reid D.A., Small G.W., Chang H.H., Watanabe G., Lieber M.R., Ramsden D.A., Rothenberg E. DNA Ligase IV guides End-Processing choice during nonhomologous end joining. Cell Rep. 2017; 20: 2810– 2819. 28930678 PMC5649367
  23. [30]Jiang F., Taylor D.W., Chen J.S., Kornfeld J.E., Zhou K., Thompson A.J., Nogales E., Doudna J.A. Structures of a CRISPR-Cas9 R-loop complex primed for DNA cleavage. Science. 2016; 351: 867– 871. 26841432 PMC5111852
  24. [31]Shen M.W., Arbab M., Hsu J.Y., Worstell D., Culbertson S.J., Krabbe O., Cassa C.A., Liu D.R., Gifford D.K., Sherwood R.I. Predictable and precise template-free CRISPR editing of pathogenic variants. Nature. 2018; 563: 646– 651. 30405244 PMC6517069
  25. [32]Allen F., Crepaldi L., Alsinet C., Strong A.J., Kleshchevnikov V., De Angeli P., Páleníková P., Khodak A., Kiselev V., Kosicki M. et al. Predicting the mutations generated by repair of Cas9-induced double-strand breaks. Nat. Biotechnol. 2019; 37: 64– 72. PMC6949135 30480667
  26. [33]Chakrabarti A.M., Henser-Brownhill T., Monserrat J., Poetsch A.R., Luscombe N.M., Scaffidi P. Target-Specific precision of CRISPR-Mediated genome editing. Mol. Cell. 2019; 73: 699– 713. 30554945 PMC6395888
  27. [34]Bae S., Kweon J., Kim H.S., Kim J.-S. Microhomology-based choice of Cas9 nuclease target sites. Nat. Methods. 2014; 11: 705– 706. 24972169
  28. [35]Yang S.-H., Cheng P.-H., Sullivan R.T., Thomas J.W., Chan A.W.S. Lentiviral integration preferences in transgenic mice. Genesis. 2008; 46: 711– 718. 18821598 PMC4381762
  29. [36]Ustek D., Sirma S., Gumus E., Arikan M., Cakiris A., Abaci N., Mathew J., Emrence Z., Azakli H., Cosan F. et al. A genome-wide analysis of lentivector integration sites using targeted sequence capture and next generation sequencing technology. Infect. Genet. Evol. 2012; 12: 1349– 1354. 22613802
  30. [37]Horlbeck M.A., Witkowsky L.B., Guglielmi B., Replogle J.M., Gilbert L.A., Villalta J.E., Torigoe S.E., Tjian R., Weissman J.S. Nucleosomes impede Cas9 access to DNA in vivo and in vitro. Elife. 2016; 5: e12677. 26987018 PMC4861601
  31. [38]Chen X., Rinsma M., Janssen J.M., Liu J., Maggio I., Gonçalves M.A.F.V. Probing the impact of chromatin conformation on genome editing tools. Nucleic Acids Res. 2016; 44: 6482– 6492. 27280977 PMC5291272
  32. [39]Kallimasioti-Pazi E.M., Chathoth K.T., Taylor G.C., Meynert A., Ballinger T., Kelder M.J.E., Lalevée S., Sanli I., Feil R., Wood A.J. Heterochromatin delays CRISPR-Cas9 mutagenesis but does not influence the outcome of mutagenic DNA repair. PLOS Biol. 2018; 16: e2005595. 30540740 PMC6306241
  33. [40]Ran F.A., Hsu P.D., Lin C.-Y., Gootenberg J.S., Konermann S., Trevino A.E., Scott D.A., Inoue A., Matoba S., Zhang Y. et al. Double nicking by RNA-guided CRISPR Cas9 for enhanced genome editing specificity. Cell. 2013; 154: 1380– 1389. 23992846 PMC3856256
  34. [41]Tsai S.Q., Wyvekens N., Khayter C., Foden J.A., Thapar V., Reyon D., Goodwin M.J., Aryee M.J., Joung J.K. Dimeric CRISPR RNA-guided FokI nucleases for highly specific genome editing. Nat. Biotechnol. 2014; 32: 569– 576. 24770325 PMC4090141
  35. [42]Guilinger J.P., Thompson D.B., Liu D.R. Fusion of catalytically inactive Cas9 to FokI nuclease improves the specificity of genome modification. Nat. Biotechnol. 2014; 32: 577– 582. 24770324 PMC4263420
  36. [43]Wolfs J.M., Hamilton T.A., Lant J.T., Laforet M., Zhang J., Salemi L.M., Gloor G.B., Schild-Poulter C., Edgell D.R. Biasing genome-editing events toward precise length deletions with an RNA-guided TevCas9 dual nuclease. Proc. Natl. Acad. Sci. U.S.A. 2016; 113: 14988– 14993. 27956611 PMC5206545
  37. [44]Bolukbasi M.F., Liu P., Luk K., Kwok S.F., Gupta A., Amrani N., Sontheimer E.J., Zhu L.J., Wolfe S.A. Orthogonal Cas9–Cas9 chimeras provide a versatile platform for genome editing. Nat. Commun. 2018; 9: 4856. 30451839 PMC6242970
  38. [45]McKenna A., Shendure J. FlashFry: a fast and flexible tool for large-scale CRISPR target design. BMC Biol. 2018; 16: 74. 29976198 PMC6033233
  39. [47]Šošić M., Šikić M. Edlib: a C/C library for fast, exact sequence alignment using edit distance. Bioinformatics. 2017; 33: 1394– 1395. 28453688 PMC5408825
  40. [48]Zhang J., Kobert K., Flouri T., Stamatakis A. PEAR: a fast and accurate Illumina Paired-End reAd mergeR. Bioinformatics. 2014; 30: 614– 620. 24142950 PMC3933873
  41. [49]Smith T., Heger A., Sudbery I. UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy. Genome Res. 2017; 27: 491– 499. 28100584 PMC5340976
  42. [50]Cock P.J.A., Antao T., Chang J.T., Chapman B.A., Cox C.J., Dalke A., Friedberg I., Hamelryck T., Kauff F., Wilczynski B. et al. Biopython: freely available Python tools for computational molecular biology and bioinformatics. Bioinformatics. 2009; 25: 1422– 1423. 19304878 PMC2682512
  43. [53]Al-Rfou R., Alain G., Almahairi A., Angermueller C., Bahdanau D., Ballas N., Bastien F., Bayer J., Belikov A. The Theano Development Team et al. Theano: a Python framework for fast computation of mathematical expressions. 2016; arXiv doi: https://arxiv.org/abs/1605.02688, 09 May 2016, preprint: not peer reviewed. · arXiv

Cited by

Sorted by citations

Authors
Chen, W., McKenna, A., Schreiber, J., Haeussler, M., Yin, Y., Agarwal, V., Noble, W. S., & Shendure, J.
Affiliations
  • University of Washington (US)
  • University of California, Santa Cruz (US)
  • Howard Hughes Medical Institute (US)
Corresponding author
Shendure, Jay
Venue
Nucleic Acids Research
Published
2019-06-05
Volume
47
Issue
15
Pages
7989-8003
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2970098032
Cited by
216
References
9
Citations by year
2026: 26 · 2025: 25 · 2024: 39 · 2023: 23 · 2022: 34 · 2021: 32 · 2020: 31 · 2019: 6
FWCI
8.52
Type
journal article
Language
en
Open access
Locations
  • Nucleic Acids Research (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
Funders
  • Paul G. Allen Frontiers Foundation
  • NIH (R01HG009136, UM1HG009408, 1K99HG010152-01)
  • National Human Genome Research Institute (4U41HG002371)
  • St. Baldricks Foundation (427053)
  • Chan-Zuckerberg Initiative (SVCF 2018-182809)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA Repair Mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
Keywords
CRISPR/Cas9, non-homologous end joining, DNA double-strand break repair, microhomology, indels, genome-wide screen
MeSH terms
Gene Editing, Base Sequence, Humans, Models, Genetic, Mutation, Genome, Human, Sequence Deletion, DNA Cleavage, DNA Breaks, Double-Stranded, DNA End-Joining Repair, CRISPR-Cas Systems

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review