Rationally engineered Cas9 nucleases with improved specificity
Open accessAbstract
The RNA-guided endonuclease Cas9 is a versatile genome-editing tool with a broad range of applications from therapeutics to functional annotation of genes. Cas9 creates double-strand breaks (DSBs) at targeted genomic loci complementary to a short RNA guide. However, Cas9 can cleave off-target sites that are not fully complementary to the guide, which poses a major challenge for genome editing. Here, we use structure-guided protein engineering to improve the specificity of Streptococcus pyogenes Cas9 (SpCas9). Using targeted deep sequencing and unbiased whole-genome off-target analysis to assess Cas9-mediated DNA cleavage in human cells, we demonstrate that "enhanced specificity" SpCas9 (eSpCas9) variants reduce off-target effects and maintain robust on-target cleavage. Thus, eSpCas9 could be broadly useful for genome-editing applications requiring a high level of specificity.
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Chemical modification of gRNA by replacing RNA nucleotides with DNA nucleotides increases on-target efficiency and decreases off-target effects.
“| gRNA improvement | Chemical modifications [76–78] | Replacement of RNA nucleotides into DNA nucleotides | Increased on-target efficiency and decreased off-target effects |”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as [77]
The paper reports reduced off-target effects, but attributes them to structure-guided engineering of the Cas9 protein, not replacement of guide-RNA nucleotides with DNA nucleotides. Its conclusion says on-target activity was preserved, not increased. The relevant passages are labeled Abstract in our copy; no page numbers are provided. (LLM, conf=0.86)
Experimental — accuracy not yet measuredhypaCas9 demonstrates higher on-target activity and lower off-target effects than eSpCas9 and SpCas9-HF1.
“Accordingly, scientists further designed hypaCas9 (hyper-accurate Cas9) (Chen et al., 2017), which demonstrates higher on-target activity and lower off-target effects than eSpCas9 and SpCas9-HF1 (Kleinstiver et al., 2016; Slaymaker et al., 2016; Chen et al., 2017).”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as Slaymaker et al., 2016
The indexed passage labeled Abstract (page not provided) identifies the eSpCas9 variants and reports that they reduced off-target effects while maintaining on-target activity. It does not assess hypaCas9 or SpCas9-HF1, so it cannot support the claimed superiority of hypaCas9 over either comparator. (LLM, conf=0.86)
Experimental — accuracy not yet measuredA series of optimized mutations in SpCas9 have greatly improved the editing specificity of Cas9 variants without substantially attenuating the editing activity.
“In addition, a series of optimized mutations in SpCas9 have greatly improved the editing specificity of Cas9 variants without substantially attenuating the editing activity.”
From Machine learning-based prediction models to guide the selection of Cas9 variants for efficient gene editing (2024) · cites this paper as [18]
Incorporation of MP/bridged nucleic acids/locked nucleic acids increases on-target efficiency and decreases off-target effects.
“Incorporation of MP/bridged nucleic acids/locked nucleic acids | Increased on-target efficiency and decreased off-target effects”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as [77]
The paper’s Abstract reports that engineered Cas9 proteins reduce off-target effects while maintaining on-target cleavage. Our copy does not address incorporation of MP, bridged nucleic acids, or locked nucleic acids, or show that these modifications increase on-target efficiency. Searches for those terms and for chemically modified guide RNA found no supporting passage. (LLM, conf=0.76)
Experimental — accuracy not yet measuredSome active gRNAs for SpCas9-WT showed very low editing ability in SpCas9 variants.
“Some active gRNAs for SpCas9-WT showed very low editing ability in SpCas9 variants.”
From Machine learning-based prediction models to guide the selection of Cas9 variants for efficient gene editing (2024) · cites this paper as [18]
The paper’s on-target activity passage (indexed copy, section labeled Abstract; page unavailable) says the three variants produced indel levels similar to WT SpCas9 at the majority of 24 target sites. It does not say whether any guides active with WT had very low editing activity with the variants; the reported reductions elsewhere concern off-target cleavage or mismatched guides. Searched for guide-specific losses of on-target editing activity. (LLM, conf=0.68)
Experimental — accuracy not yet measured
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Cites
Multiplex Genome Engineering Using CRISPR/Cas Systems
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. (2013) · Science · doi:10.1126/science.1231143 · Cited by 15,339 · see citing works
Self-citationRNA-Guided Human Genome Engineering via Cas9
Mali, P., Yang, L., Esvelt, K. M., Aach, J., Guell, M., DiCarlo, J. E., Norville, J. E., & Church, G. M. (2013) · Science · doi:10.1126/science.1232033 · Cited by 9,210 · see citing works
DNA targeting specificity of RNA-guided Cas9 nucleases
Hsu, P. D., Scott, D. A., Weinstein, J. A., Ran, F. A., Konermann, S., Agarwala, V., Li, Y., Fine, E. J., Wu, X., Shalem, O., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2647 · Cited by 4,741 · see citing works
Self-citationDouble nicking by RNA-guided CRISPR Cas9 for enhanced genome editing specificity
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. (2013) · Cell · doi:10.1016/j.cell.2013.08.021 · Cited by 3,299 · see citing works
Self-citationHigh-Frequency off-Target Mutagenesis Induced by CRISPR-Cas Nucleases in Human Cells
Fu, Y., Foden, J. A., Khayter, C., Maeder, M. L., Reyon, D., Joung, J. K., & Sander, J. D. (2013) · Nature Biotechnology · doi:10.1038/nbt.2623 · Cited by 3,292 · see citing works
In vivo genome editing using Staphylococcus aureus Cas9
Ran, F. A., Cong, L., Yan, W. X., Scott, D. A., Gootenberg, J. S., Kriz, A. J., Zetsche, B., Shalem, O., Wu, X., Makarova, K. S., et al. (2015) · Nature · doi:10.1038/nature14299 · Cited by 2,687 · see citing works
Self-citationRNA-guided editing of bacterial genomes using CRISPR-Cas systems
Jiang, W., Bikard, D., Cox, D., Zhang, F., & Marraffini, L. A. (2013) · Nature Biotechnology · doi:10.1038/nbt.2508 · Cited by 2,429 · see citing works
Crystal structure of Cas9 in complex with guide RNA and target DNA
Nishimasu, H., Ran, F. A., Hsu, P. D., Konermann, S., Shehata, S. I., Dohmae, N., Ishitani, R., Zhang, F., & Nureki, O. (2014) · Cell · doi:10.1016/j.cell.2014.02.001 · Cited by 2,306 · see citing works
GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases
Tsai, S. Q., Zheng, Z., Nguyen, N. T., Liebers, M., Topkar, V. V., Thapar, V., Wyvekens, N., Khayter, C., Iafrate, A. J., Le, L. P., et al. (2015) · Nature Biotechnology · doi:10.1038/nbt.3117 · Cited by 2,268 · see citing works
Improving CRISPR-Cas nuclease specificity using truncated guide RNAs
Fu, Y., Sander, J. D., Reyon, D., Cascio, V. M., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2808 · Cited by 1,993 · see citing works
DNA interrogation by the CRISPR RNA-guided endonuclease Cas9
Sternberg, S. H., Redding, S., Jínek, M., Greene, E. C., & Doudna, J. A. (2014) · Nature · doi:10.1038/nature13011 · Cited by 1,775 · see citing works
Mali, P., Aach, J., Stranges, P. B., Esvelt, K. M., Moosburner, M., Kosuri, S., Yang, L., & Church, G. M. (2013) · Nature Biotechnology · doi:10.1038/nbt.2675 · Cited by 1,752 · see citing works
Structural basis of PAM-dependent target DNA recognition by the Cas9 endonuclease
Anders, C., Niewoehner, O., Duerst, A., & Jínek, M. (2014) · Nature · doi:10.1038/nature13579 · Cited by 1,319 · see citing works
Dimeric CRISPR RNA-guided FokI nucleases for highly specific genome editing
Tsai, S. Q., Wyvekens, N., Khayter, C., Foden, J. A., Thapar, V., Reyon, D., Goodwin, M. J., Aryee, M. J., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2908 · Cited by 952 · see citing works
Guilinger, J. P., Thompson, D. B., & Liu, D. R. (2014) · Nature Biotechnology · doi:10.1038/nbt.2909 · Cited by 836 · see citing works
Semenova, E., Jore, M. M., Datsenko, K. A., Semenova, A., Westra, E. R., Wanner, B. L., John van der, O. O. S. T., Brouns, S. J. J., & Severinov, K. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1104144108 · Cited by 726 · see citing works
A split-Cas9 architecture for inducible genome editing and transcription modulation
Zetsche, B., Volz, S. E., & Zhang, F. (2015) · Nature Biotechnology · doi:10.1038/nbt.3149 · Cited by 704 · see citing works
Self-citationNucleotide-resolution DNA double-strand break mapping by next-generation sequencing
Crosetto, N., Mitra, A., Silva, M. J., Bienko, M., Dojer, N., Wang, Q., Karaca, E., Chiarle, R., Skrzypczak, M., Ginalski, K., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2408 · Cited by 465 · see citing works
Wiedenheft, B., van Duijn, E., Bultema, J. B., Waghmare, S. P., Zhou, K., Barendregt, A., Westphal, W., Heck, A. J. R., Boekema, E. J., Dickman, M. J., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1102716108 · Cited by 449 · see citing works
Small molecule–triggered Cas9 protein with improved genome-editing specificity
Davis, K. M., Pattanayak, V., Thompson, D. B., Zuris, J. A., & Liu, D. R. (2015) · Nature Chemical Biology · doi:10.1038/nchembio.1793 · Cited by 418 · see citing works
Targeted Genome Editing in Human Cells Using CRISPR/Cas Nucleases and Truncated Guide RNAs
Fu, Y., Reyon, D., & Joung, J. K. (2014) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/b978-0-12-801185-0.00002-7 · Cited by 50 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage
Komor, A. C., Kim, Y. B., Packer, M. S., Zuris, J. A., & Liu, D. R. (2016) · Nature · doi:10.1038/nature17946 · Cited by 5,437 · see citing works
Recognition of RNA N6-methyladenosine by IGF2BP proteins enhances mRNA stability and translation
Huang, H., Weng, H., Sun, W., Qin, X., Shi, H., Wu, H., Zhao, B. S., Mesquita, A., Liu, C., Yuan, C. L., et al. (2018) · Nature Cell Biology · doi:10.1038/s41556-018-0045-z · Cited by 2,997 · see citing works
High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects
Kleinstiver, B. P., Pattanayak, V., Prew, M. S., Tsai, S. Q., Nguyen, N. T., Zheng, Z., & Joung, J. K. (2016) · Nature · doi:10.1038/nature16526 · Cited by 2,673 · see citing works
Crystal structure of Cas9 in complex with guide RNA and target DNA
Nishimasu, H., Ran, F. A., Hsu, P. D., Konermann, S., Shehata, S. I., Dohmae, N., Ishitani, R., Zhang, F., & Nureki, O. (2014) · Cell · doi:10.1016/j.cell.2014.02.001 · Cited by 2,306 · see citing works
Kosicki, M., Tomberg, K., & Bradley, A. (2018) · Nature Biotechnology · doi:10.1038/nbt.4192 · Cited by 1,883 · see citing works
Induced pluripotent stem cell technology: a decade of progress.
Shi, Y., Inoue, H., Wu, J. C., & Yamanaka, S. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.245 · Cited by 1,525 · see citing works
Evolved Cas9 variants with broad PAM compatibility and high DNA specificity
Hu, J. H., Miller, S. M., Geurts, M. H., Tang, W., Chen, L., Sun, N., Zeina, C. M., Gao, X., Rees, H. A., Lin, Z., et al. (2018) · Nature · doi:10.1038/nature26155 · Cited by 1,552 · see citing works
Targeted nucleotide editing using hybrid prokaryotic and vertebrate adaptive immune systems
Nishida, K., Arazoe, T., Yachie, N., Banno, S., Kakimoto, M., Tabata, M., Mochizuki, M., Miyabe, A., Araki, M., Hara, K. Y., et al. (2016) · Science · doi:10.1126/science.aaf8729 · Cited by 1,349 · see citing works
Dunbar, C. E., High, K. A., Joung, J. K., Kohn, D. B., Ozawa, K., & Sadelain, M. (2018) · Science · doi:10.1126/science.aan4672 · Cited by 1,410 · see citing works
Enhanced proofreading governs CRISPR-Cas9 targeting accuracy
Chen, J. S., Dagdas, Y. S., Kleinstiver, B. P., Welch, M. M., Sousa, A. A., Harrington, L. B., Sternberg, S. H., Joung, J. K., Yildiz, A., & Doudna, J. A. (2017) · Nature · doi:10.1038/nature24268 · Cited by 1,168 · see citing works
Unconstrained genome targeting with near-PAMless engineered CRISPR-Cas9 variants
Walton, R. T., Christie, K. A., Whittaker, M. N., & Kleinstiver, B. P. (2020) · Science · doi:10.1126/science.aba8853 · Cited by 1,233 · see citing works
Delivering CRISPR: a review of the challenges and approaches
Lino, C. A., Harper, J. C., Carney, J. P., & Timlin, J. A. (2018) · Drug Delivery · doi:10.1080/10717544.2018.1474964 · Cited by 1,185 · see citing works
Engineered CRISPR-Cas9 nuclease with expanded targeting space
Nishimasu, H., Shi, X., Ishiguro, S., Gao, L., Hirano, S., Okazaki, S., Noda, T., Abudayyeh, O. O., Gootenberg, J. S., Mori, H., et al. (2018) · Science · doi:10.1126/science.aas9129 · Cited by 1,100 · see citing works
Self-citationp53 inhibits CRISPR–Cas9 engineering in human pluripotent stem cells
Ihry, R. J., Worringer, K. A., Salick, M. R., Frias, E., Ho, D., Theriault, K., Kommineni, S., Chen, J., Sondey, M., Ye, C., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0050-6 · Cited by 978 · see citing works
Multiplex genome editing to generate universal CAR T cells resistant to PD1 inhibition
Ren, J., Liu, X., Fang, C., Jiang, S., June, C. H., & Zhao, Y. (2017) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-16-1300 · Cited by 942 · see citing works
Vakulskas, C. A., Dever, D. P., Rettig, G. R., Turk, R., Jacobi, A. M., Collingwood, M. A., Bode, N. M., McNeill, M. S., Yan, S., Camarena, J., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0137-0 · Cited by 782 · see citing works
Whole-organism lineage tracing by combinatorial and cumulative genome editing
McKenna, A., Findlay, G. M., Gagnon, J. A., Horwitz, M. S., Schier, A. F., & Shendure, J. (2016) · Science · doi:10.1126/science.aaf7907 · Cited by 766 · see citing works
Rupp, L. J., Schumann, K., Roybal, K. T., Gate, R. E., Ye, C. J., Lim, W. A., & Marson, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-00462-8 · Cited by 757 · see citing works
Advances in the delivery of RNA therapeutics: from concept to clinical reality
Kaczmarek, J. C., Kowalski, P. S., & Anderson, D. G. (2017) · Genome Medicine · doi:10.1186/s13073-017-0450-0 · Cited by 656 · see citing works
Off-target effects in CRISPR/Cas9 gene editing
Guo, C., Ma, X., Gao, F., & Guo, Y. (2023) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1143157 · Cited by 625 · see citing works
“This idea led to the rational design of SpCas9 mutants such as enhanced SpCas9 (eSpCas9) and SpCas9-HF1 (HF1 for high-fidelity variant #1).”
BackgroundInfluentialCRISPR-Cas9 genome editing using targeted lipid nanoparticles for cancer therapy
Rosenblum, D., Gutkin, A., Kedmi, R., Ramishetti, S., Veiga, N., Jacobi, A. M., Schubert, M. S., Friedmann-Morvinski, D., Cohen, Z. R., Behlke, M. A., et al. (2020) · Science Advances · doi:10.1126/sciadv.abc9450 · Cited by 614 · see citing works
Combination Immunotherapy with CAR T Cells and Checkpoint Blockade for the Treatment of Solid Tumors
Grosser, R., Cherkassky, L., Chintala, N., & Adusumilli, P. S. (2019) · Cancer Cell · doi:10.1016/j.ccell.2019.09.006 · Cited by 603 · see citing works
Delivery technologies for genome editing
Yin, H., Kauffman, K. J., & Anderson, D. G. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.280 · Cited by 597 · see citing works
Past, present, and future of CRISPR genome editing technologies
Pacesa, M., Pelea, O., & Jinek, M. (2024) · Cell · doi:10.1016/j.cell.2024.01.042 · Cited by 609 · see citing works
Wang, H.-X., Li, M., Lee, C. M., Chakraborty, S., Kim, H.-W., Bao, G., & Leong, K. W. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00799 · Cited by 560 · see citing works
Induced Pluripotent Stem Cells Meet Genome Editing
Hockemeyer, D., & Jaenisch, R. (2016) · Cell Stem Cell · doi:10.1016/j.stem.2016.04.013 · Cited by 499 · see citing works
“…(Chen et al., 2015; Cong et al., 2013; Fu et al., 2014; Gonzalez et al., 2014; Gu et al., 2015; Hou et al., 2013; Hsu et al., 2014; Kleinstiver et al., 2016; Liao and Karnik, 2015; Lin et al., 2014; Mali et al., 2013; Ran et al., 2015; Slaymaker et al., 2016; Tsai et al., 2014; Wu et al., 2014b).”
BackgroundDirected evolution of CRISPR-Cas9 to increase its specificity
Lee, J. K., Jeong, E., Lee, J., Jung, M., Shin, E., Kim, Y.-H., Lee, K., Jung, I., Kim, D., Kim, S., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05477-x · Cited by 525 · see citing works
DeWitt, M. A., Magis, W., Bray, N. L., Wang, T., Berman, J. R., Urbinati, F., Heo, S.-J., Mitros, T., Muñoz, D. P., Boffelli, D., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf9336 · Cited by 477 · see citing works
A highly specific SpCas9 variant is identified by in vivo screening in yeast
Casini, A., Olivieri, M., Petris, G., Montagna, C., Reginato, G., Maule, G., Lorenzin, F., Prandi, D., Romanel, A., Demichelis, F., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4066 · Cited by 493 · see citing works
High levels of AAV vector integration into CRISPR-induced DNA breaks
Hanlon, K. S., Kleinstiver, B. P., Garcia, S. P., Zaborowski, M. P., Volak, A., Spirig, S. E., Muller, A., Sousa, A. A., Tsai, S. Q., Bengtsson, N. E., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12449-2 · Cited by 431 · see citing works
Latest Developed Strategies to Minimize the Off-Target Effects in CRISPR-Cas-Mediated Genome Editing
Naeem, M., Majeed, S., Hoque, M. Z., & Ahmad, I. (2020) · Cells · doi:10.3390/cells9071608 · Cited by 457 · see citing works
DNA Repair Pathway Choices in CRISPR-Cas9-Mediated Genome Editing
Xue, C., & Greene, E. C. (2021) · Trends in Genetics · doi:10.1016/j.tig.2021.02.008 · Cited by 431 · see citing works
Precise plant genome editing using base editors and prime editors
Molla, K. A., Sretenovic, S., Bansal, K. C., & Qi, Y. (2021) · Nature Plants · doi:10.1038/s41477-021-00991-1 · Cited by 387 · see citing works
Rives, A., Meier, J., Sercu, T., Goyal, S., Lin, Z., Liu, J., Guo, D., Ott, M., Zitnick, C. L., Ma, J., et al. (2019) · doi:10.1101/622803 · Cited by 3,280 · see citing works
“…mutational fitness landscape provides deep insight into biology: determining protein activity (Fowler & Fields, 2014), linking genetic variation to human health (Lek et al., 2016; Bycroft et al., 2018; Karczewski et al., 2019), and enabling for rational protein engineering (Slaymaker et al., 2016).”
BackgroundBLISS is a versatile and quantitative method for genome-wide profiling of DNA double-strand breaks
Yan, W. X., Mirzazadeh, R., Garnerone, S., Scott, D., Schneider, M. W., Kallas, T., Custodio, J., Wernersson, E., Li, Y., Gao, L., et al. (2017) · Nature Communications · doi:10.1038/ncomms15058 · Cited by 369 · see citing works
CRISPR/Cas: A powerful tool for gene function study and crop improvement
Zhang, D., Zhang, Z., Unver, T., & Zhang, B. (2021) · Journal of Advanced Research · doi:10.1016/j.jare.2020.10.003 · Cited by 373 · see citing works
Increasing the specificity of CRISPR systems with engineered RNA secondary structures
Kocak, D. D., Josephs, E. A., Bhandarkar, V., Adkar, S. S., Kwon, J. B., & Gersbach, C. A. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0095-1 · Cited by 351 · see citing works
He, X., Tan, C., Wang, F., Wang, Y., Zhou, R., Cui, D., You, W., Zhao, H., Ren, J., & Feng, B. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw064 · Cited by 338 · see citing works
Zischewski, J., Fischer, R., & Bortesi, L. (2017) · Biotechnology Advances · doi:10.1016/j.biotechadv.2016.12.003 · Cited by 323 · see citing works
Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning
Wang, D., Zhang, C., Wang, B., Li, B., Wang, Q., Liu, D., Wang, H., Zhou, Y., Shi, L., Lan, F., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12281-8 · Cited by 331 · see citing works
A conformational checkpoint between DNA binding and cleavage by CRISPR-Cas9
Dagdas, Y. S., Chen, J. S., Sternberg, S. H., Doudna, J. A., & Yildiz, A. (2017) · Science Advances · doi:10.1126/sciadv.aao0027 · Cited by 293 · see citing works
Improving CRISPR-Cas specificity with chemical modifications in single-guide RNAs
Ryan, D. E., Taussig, D., Steinfeld, I., Phadnis, S. M., Lunstad, B. D., Singh, M., Vuong, X., Okochi, K. D., McCaffrey, R., Olesiak, M., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1199 · Cited by 280 · see citing works
Nrl knockdown by AAV-delivered CRISPR/Cas9 prevents retinal degeneration in mice
Yu, W., Mookherjee, S., Chaitankar, V., Hiriyanna, S., Kim, J.-W., Brooks, M., Ataeijannati, Y., Sun, X., Dong, L., Li, T., et al. (2017) · Nature Communications · doi:10.1038/ncomms14716 · Cited by 271 · see citing works
CRISPR-Cas9 for cancer therapy: Opportunities and challenges
Chen, M., Mao, A., Xu, M., Weng, Q., Mao, J., & Ji, J. (2019) · Cancer Letters · doi:10.1016/j.canlet.2019.01.017 · Cited by 272 · see citing works
Ormond, K. E., Mortlock, D. P., Scholes, D. T., Bombard, Y., Brody, L. C., Faucett, W. A., Garrison, N. A., Hercher, L., Isasi, R., Middleton, A., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.06.012 · Cited by 252 · see citing works
Partial DNA-guided Cas9 enables genome editing with reduced off-target activity
Yin, H., Song, C.-Q., Suresh, S., Kwan, S.-Y., Wu, Q., Walsh, S., Ding, J., Bogorad, R. L., Zhu, L. J., Wolfe, S. A., et al. (2018) · Nature Chemical Biology · doi:10.1038/nchembio.2559 · Cited by 240 · see citing works
Jensen, K. T., Fløe, L., Petersen, T. S., Huang, J., Xu, F., Bolund, L., Luo, Y., & Lin, L. (2017) · FEBS Letters · doi:10.1002/1873-3468.12707 · Cited by 225 · see citing works
Biological plasticity rescues target activity in CRISPR knock outs
Smits, A. H., Ziebell, F., Joberty, G., Zinn, N., Mueller, W. F., Clauder-Münster, S., Eberhard, D., Fälth Savitski, M., Grandi, P., Jakob, P., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0614-5 · Cited by 219 · see citing works
Prediction of the sequence-specific cleavage activity of Cas9 variants
Kim, N., Kim, H. K., Lee, S., Seo, J. H., Choi, J. W., Park, J., Min, S., Yoon, S., Cho, S.-R., & Kim, H. H. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0537-9 · Cited by 198 · see citing works
Highly Parallel Profiling of Cas9 Variant Specificity
Schmid-Burgk, J. L., Gao, L., Li, D., Gardner, Z., Strecker, J., Lash, B., & Zhang, F. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.02.023 · Cited by 197 · see citing works
Self-citationEarly and late stage gene therapy interventions for inherited retinal degenerations
Botto, C., Rucli, M., Tekinsoy, M. D., Pulman, J., Sahel, J.-A., & Dalkara, D. (2022) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2021.100975 · Cited by 190 · see citing works
Incorporation of bridged nucleic acids into CRISPR RNAs improves Cas9 endonuclease specificity
Cromwell, C. R., Sung, K., Park, J., Krysler, A. R., Jovel, J., Kim, S. K., & Hubbard, B. P. (2018) · Nature Communications · doi:10.1038/s41467-018-03927-0 · Cited by 190 · see citing works
The CRISPR/Cas9 system and its applications in crop genome editing
Bao, A., Burritt, D. J., Chen, H., Zhou, X., Cao, D., & Tran, L.-S. P. (2019) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2018.1554621 · Cited by 185 · see citing works
Hultquist, J. F., Schumann, K., Woo, J. M., Manganaro, L., McGregor, M. J., Doudna, J., Simon, V., Krogan, N. J., & Marson, A. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.09.080 · Cited by 170 · see citing works
Schober, K., Müller, T. R., Gökmen, F., Grassmann, S., Effenberger, M., Poltorak, M., Stemberger, C., Schumann, K., Roth, T. L., Marson, A., et al. (2019) · Nature Biomedical Engineering · doi:10.1038/s41551-019-0409-0 · Cited by 178 · see citing works
Evaluating and enhancing target specificity of gene-editing nucleases and deaminases
Kim, D., Luk, K., Wolfe, S. A., & Kim, J.-S. (2019) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-013118-111730 · Cited by 171 · see citing works
Precision genome editing using cytosine and adenine base editors in mammalian cells
Huang, T. P., Newby, G. A., & Liu, D. R. (2021) · Nature Protocols · doi:10.1038/s41596-020-00450-9 · Cited by 175 · see citing works
Lau, C.-H., & Suh, Y. (2017) · F1000Research · doi:10.12688/f1000research.11243.1 · Cited by 161 · see citing works
Ortinski, P. I., O’Donovan, B., Dong, X., & Kantor, B. (2017) · Molecular Therapy - Methods & Clinical Development · doi:10.1016/j.omtm.2017.04.002 · Cited by 146 · see citing works
Genome-wide profiling of adenine base editor specificity by EndoV-seq
Liang, P., Xie, X., Zhi, S., Sun, H., Zhang, X., Chen, Y., Chen, Y., Xiong, Y., Ma, W., Liu, D., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-07988-z · Cited by 148 · see citing works
Kim, H. K., Lee, S., Kim, Y., Park, J., Min, S., Choi, J. W., Huang, T. P., Yoon, S., Liu, D. R., & Kim, H. H. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-019-0505-1 · Cited by 145 · see citing works
Pamies, D. (2018) · ALTEX · doi:10.14573/altex.1710081 · Cited by 127 · see citing works
Palermo, G., Chen, J. S., Ricci, C. G., Rivalta, I., Jinek, M., Batista, V. S., Doudna, J. A., & McCammon, J. A. (2018) · Quarterly Reviews of Biophysics · doi:10.1017/s0033583518000070 · Cited by 123 · see citing works
Wake-up Sleepy Gene: Reactivating Fetal Globin for β-Hemoglobinopathies
Wienert, B., Martyn, G. E., Funnell, A. P. W., Quinlan, K. G. R., & Crossley, M. (2018) · Trends in Genetics · doi:10.1016/j.tig.2018.09.004 · Cited by 115 · see citing works
Transcriptional regulation with CRISPR-Cas9: principles, advances, and applications
Didovyk, A., Borek, B., Tsimring, L., & Hasty, J. (2016) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2016.06.003 · Cited by 90 · see citing works
Design of highly functional genome editors by modeling the universe of CRISPR-Cas sequences
Ruffolo, J. A., Nayfach, S., Gallagher, J., Bhatnagar, A., Beazer, J., Hussain, R., Russ, J., Yip, J., Hill, E., Pacesa, M., et al. (2024) · doi:10.1101/2024.04.22.590591 · Cited by 90 · see citing works
Advanced domestication: harnessing the precision of gene editing in crop breeding
Lyzenga, W. J., Pozniak, C. J., & Kagale, S. (2021) · Plant Biotechnology Journal · doi:10.1111/pbi.13576 · Cited by 85 · see citing works
Molecular Therapies for Inherited Retinal Diseases—Current Standing, Opportunities and Challenges
Vázquez-Domínguez, I., Garanto, A., & Collin, R. W. J. (2019) · Genes · doi:10.3390/genes10090654 · Cited by 80 · see citing works
New traits in crops produced by genome editing techniques based on deletions
van de Wiel, C. C. M., Schaart, J. G., Lotz, L. A. P., & Smulders, M. J. M. (2017) · Plant Biotechnology Reports · doi:10.1007/s11816-017-0425-z · Cited by 80 · see citing works
Vlčko, T., & Ohnoutková, L. (2020) · Plants · doi:10.3390/plants9020195 · Cited by 74 · see citing works
In vivo locus-specific editing of the neuroepigenome
Yim, Y. Y., Teague, C. D., & Nestler, E. J. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-0334-y · Cited by 76 · see citing works
Gene Therapy Intervention in Neovascular Eye Disease: A Recent Update
Lin, F.-L., Wang, P.-Y., Chuang, Y.-F., Wang, J.-H., Wong, V. H. Y., Bui, B. V., & Liu, G.-S. (2020) · Molecular Therapy · doi:10.1016/j.ymthe.2020.06.029 · Cited by 74 · see citing works
Donohoue, P. D., Pacesa, M., Lau, E., Vidal, B., Irby, M. J., Nyer, D. B., Rotstein, T., Banh, L., Toh, M. S., Gibson, J., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.07.035 · Cited by 69 · see citing works
Genome Editing in iPSC-Based Neural Systems: From Disease Models to Future Therapeutic Strategies
McTague, A., Rossignoli, G., Ferrini, A., Barral, S., & Kurian, M. A. (2021) · Frontiers in Genome Editing · doi:10.3389/fgeed.2021.630600 · Cited by 67 · see citing works
Engineering Therapeutic T Cells: From Synthetic Biology to Clinical Trials
Esensten, J. H., Bluestone, J. A., & Lim, W. A. (2017) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-052016-100304 · Cited by 62 · see citing works
Lineage tracing using a Cas9-deaminase barcoding system targeting endogenous L1 elements
Hwang, B., Lee, W., Yum, S.-Y., Jeon, Y., Cho, N., Jang, G., & Bang, D. (2019) · Nature Communications · doi:10.1038/s41467-019-09203-z · Cited by 65 · see citing works
Customizing the genome as therapy for the β-hemoglobinopathies.
Canver, M. C., & Orkin, S. H. (2016) · Blood · doi:10.1182/blood-2016-01-678128 · Cited by 61 · see citing works
Genome-wide detection of CRISPR editing in vivo using GUIDE-tag
Liang, S.-Q., Liu, P., Smith, J. L., Mintzer, E., Maitland, S., Dong, X., Yang, Q., Lee, J., Haynes, C. M., Zhu, L. J., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28135-9 · Cited by 54 · see citing works
Current Strategies for Increasing Knock-In Efficiency in CRISPR/Cas9-Based Approaches
Leal, A., Herreno-Pachón, A., Benincore-Flórez, E., Karunathilaka, A., & Tomatsu, S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25052456 · Cited by 58 · see citing works
Genetic medicines for CF: Hype versus reality
Alton, E. W. F. W., Boyd, A. C., Davies, J. C., Gill, D. R., Griesenbach, U., Harrison, P. T., Henig, N., Higgins, T., Hyde, S. C., Innes, J. A., et al. (2016) · Pediatric Pulmonology · doi:10.1002/ppul.23543 · Cited by 53 · see citing works
Tran, N. T., Danner, E., Li, X., Graf, R., Lebedin, M., de la Rosa, K., Kühn, R., Rajewsky, K., & Chu, V. T. (2022) · Science Advances · doi:10.1126/sciadv.abm9106 · Cited by 49 · see citing works
Concerns regarding ‘off-target’activity of genome editing endonucleases
Kadam, U. S., Shelake, R. M., Chavhan, R. L., & Suprasanna, P. (2018) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2018.03.027 · Cited by 47 · see citing works
Kulcsár, P. I., Tálas, A., Tóth, E., Nyeste, A., Ligeti, Z., Welker, Z., & Welker, E. (2020) · Nature Communications · doi:10.1038/s41467-020-15021-5 · Cited by 45 · see citing works
Massively targeted evaluation of therapeutic CRISPR off-targets in cells
Pan, X., Qu, K., Yuan, H., Xiang, X., Anthon, C., Pashkova, L., Liang, X., Han, P., Corsi, G. I., Xu, F., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-31543-6 · Cited by 42 · see citing works
Rational design of a compact CRISPR-Cas9 activator for AAV-mediated delivery
Vora, S., Cheng, J., Xiao, R., VanDusen, N. J., Quintino, L., Pu, W. T., Vandenberghe, L. H., Chavez, A., & Church, G. (2018) · doi:10.1101/298620 · Cited by 42 · see citing works
crisprSQL: a novel database platform for CRISPR/Cas off-target cleavage assays
Störtz, F., & Minary, P. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa885 · Cited by 37 · see citing works
Lohia, A., Sahel, D. K., Salman, M., Singh, V., Mariappan, I., Mittal, A., & Chitkara, D. (2022) · Asian Journal of Pharmaceutical Sciences · doi:10.1016/j.ajps.2022.02.001 · Cited by 33 · see citing works
Design of efficacious somatic cell genome editing strategies for recessive and polygenic diseases
Carlson-Stevermer, J., Das, A., Abdeen, A. A., Fiflis, D., Grindel, B. I., Saxena, S., Akcan, T., Alam, T., Kletzien, H., Kohlenberg, L., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-20065-8 · Cited by 32 · see citing works
Specificity profiling of CRISPR system reveals greatly enhanced off-target gene editing
Wang, Y., Wang, M., Zheng, T., Hou, Y., Zhang, P., Tang, T., Wei, J., & Du, Q. (2020) · Scientific Reports · doi:10.1038/s41598-020-58627-x · Cited by 31 · see citing works
Li, J., Wu, P., Cao, Z., Huang, G., Lu, Z., Yan, J., Zhang, H., Zhou, Y., Liu, R., Chen, H., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113765 · Cited by 26 · see citing works
Okada, K., Aoki, K., Tabei, T., Sugio, K., Imai, K., Bonkohara, Y., & Kamachi, Y. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac100 · Cited by 14 · see citing works
Genome-wide CRISPR off-target DNA break detection by the BLISS method
Ballarino, R., Bouwman, B. A. M., & Crosetto, N. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-0687-2_15 · Cited by 8 · see citing works
Omura, S. N., Nakagawa, R., Kajimoto, S., Okazaki, S., Ishiguro, S., Mori, H., Onishi, K., Kashiwakura, Y., Hiramoto, T., Horinaka, K., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-71626-2 · Cited by 2 · see citing works
Kinetic mechanism for fidelity of CRISPR-Cas9 variants
Hecht, A. D., & Igoshin, O. A. (2025) · bioRxiv · doi:10.1101/2025.01.27.634389
- Authors
- Slaymaker, I. M., Gao, L., Zetsche, B., Scott, D. A., Yan, W. X., & Zhang, F.
- Affiliations
- Broad Institute (US)
- Corresponding author
- Slaymaker, Ian M.
- Gao, Linyi
- Zhang, Feng
- Venue
- Science
- Published
- 2016-01
- Volume
- 351
- Issue
- 6268
- Pages
- 84-88
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC4714946
- OpenAlex
- W2188223075
- Cited by
- 2,414
- References
- 21
- Citations by year
- 2026: 116 · 2025: 171 · 2024: 168 · 2023: 172 · 2022: 250 · 2021: 226 · 2020: 283 · 2019: 266 · 2018: 249 · 2017: 266 · 2016: 236 · 2015: 5 · 2014: 2 · 2013: 2
- FWCI
- 109.62
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Funders
- National Institute of General Medical Sciences (T32GM007753)
- Daisy Soros Fellowship
- National Institutes of Health
- NIMH (5DP1-MH100706, 1R01MH110049)
- NIDDK (5R01DK097768-03)
- National Science Foundation
- Keck
- New York Stem Cell
- Damon Runyon
- Searle Scholars
- Merkin
- Vallee Foundations
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
- Health Sciences › Medicine › Oncology › CAR-T cell therapy research
- Keywords
- Cas9, CRISPR/Cas9, genome editing, off-target effects, off-target cleavage, protein engineering, structure-guided engineering, SpCas9, RNA-guided endonuclease, targeted deep sequencing, human cells
- MeSH terms
- RNA, Guide, CRISPR-Cas Systems, Bacterial Proteins, Endonucleases, Humans, Protein Conformation, Streptococcus pyogenes, Protein Engineering, Mutagenesis, Point Mutation, RNA, Guide, Kinetoplastida, DNA Cleavage
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