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Engineered CRISPR-Cas9 nucleases with altered PAM specificities
Open accessAbstract
Although CRISPR-Cas9 nucleases are widely used for genome editing, the range of sequences that Cas9 can recognize is constrained by the need for a specific protospacer adjacent motif (PAM). As a result, it can often be difficult to target double-stranded breaks (DSBs) with the precision that is necessary for various genome-editing applications. The ability to engineer Cas9 derivatives with purposefully altered PAM specificities would address this limitation. Here we show that the commonly used Streptococcus pyogenes Cas9 (SpCas9) can be modified to recognize alternative PAM sequences using structural information, bacterial selection-based directed evolution, and combinatorial design. These altered PAM specificity variants enable robust editing of endogenous gene sites in zebrafish and human cells not currently targetable by wild-type SpCas9, and their genome-wide specificities are comparable to wild-type SpCas9 as judged by GUIDE-seq analysis. In addition, we identify and characterize another SpCas9 variant that exhibits improved specificity in human cells, possessing better discrimination against off-target sites with non-canonical NAG and NGA PAMs and/or mismatched spacers. We also find that two smaller-size Cas9 orthologues, Streptococcus thermophilus Cas9 (St1Cas9) and Staphylococcus aureus Cas9 (SaCas9), function efficiently in the bacterial selection systems and in human cells, suggesting that our engineering strategies could be extended to Cas9s from other species. Our findings provide broadly useful SpCas9 variants and, more importantly, establish the feasibility of engineering a wide range of Cas9s with altered and improved PAM specificities.
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“Precision editing of alleles in a human cell has drastically improved the understanding of genotypic and phenotypic effects in gene therapy due to the lower off-target rates [119,120,121].”
From Utility of iPSC-Derived Cells for Disease Modeling, Drug Development, and Cell Therapy (2022) · cites this paper as [120]
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“Besides, there are other variants that could identify different PAM sequences, such as VQR, VRER, VRQR, and QQR1, allowing gene editing on a wider range of genetic loci.”
From Machine learning-based prediction models to guide the selection of Cas9 variants for efficient gene editing (2024) · cites this paper as [25]
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“The basic bacterial selection scheme performed was adapted from a previously described positive selection system for identifying Cas9 mutants in E. coli31.”
From A high-fidelity Cas9 mutant delivered as a ribonucleoprotein complex enables efficient gene editing in human hematopoietic stem and progenitor cells (2018) · cites this paper as [31]
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“To be applicable to a wider range of genomic sites, some non-NGG PAM Cas9 were generated.”
From Machine learning-based prediction models to guide the selection of Cas9 variants for efficient gene editing (2024) · cites this paper as [25]
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“This could result in the development of wider-ranged VQR, EQR, and VRER SpCas9 variants, enabling the targeting of NGAN, NGNG, and NGCG PAMs, respectively (Kleinstiver et al., 2015; Hirano et al., 2016).”
From Emerging applications of gene editing technologies for the development of climate-resilient crops (2025) · cites this paper as Kleinstiver et al., 2015
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“These modifications have led to the creation of SpCas9 variants such as VQR, EQR, and VRER, which can recognize broader PAM sequences like NGAN, NGNG, and NGCG, respectively (Kleinstiver et al., 2015; Hirano et al., 2016).”
From Emerging applications of gene editing technologies for the development of climate-resilient crops (2025) · cites this paper as Kleinstiver et al., 2015
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“Cas9 genomic localization is delimited by the protospacer adjacent motif (PAM), which is NGG for SpCas9 while evolved variants of SpCas9 tolerate a broader range of PAM sequences17–21.”
From One-step generation of tumor models by base editor multiplexing in adult stem cell-derived organoids (2023) · cites this paper as [18]
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“This screen identified four key beneficial point mutations in SpCas9, giving rise to evoCas9, a variant that exhibits fidelity exceeding SpCas9-HF1 and eSpCas9 (Kleinstiver et al., 2015; Casini et al., 2018).”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as Kleinstiver et al., 2015
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“SaKKHcas9 is an evolved variant of SaCas9 and recognizes the more relaxed NNNRRT PAM18.”
From One-step generation of tumor models by base editor multiplexing in adult stem cell-derived organoids (2023) · cites this paper as [18]
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Citations
Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Initial sequencing and analysis of the human genome
International Human Genome Sequencing Consortium, Whitehead Institute for Biomedical Research, C. F. G. R., Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C., Zody, M. C., Baldwin, J., Devon, K., Dewar, K., et al. (2001) · Nature · doi:10.1038/35057062 · Cited by 24,216
A Programmable Dual-RNA–Guided DNA Endonuclease in Adaptive Bacterial Immunity
Jinek, M., Chylinski, K., Fonfara, I., Hauer, M., Doudna, J. A., & Charpentier, E. (2012) · Science · doi:10.1126/science.1225829 · Cited by 17,116
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
RNA-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
The new frontier of genome engineering with CRISPR-Cas9
Doudna, J. A., & Charpentier, E. (2014) · Science · doi:10.1126/science.1258096 · Cited by 7,062
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
Double 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
High-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
Self-citationCRISPR-Cas systems for editing, regulating and targeting genomes
Sander, J. D., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2842 · Cited by 3,153
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He, J., Zhang, K., Tang, M., Zhou, W., Chen, L., Chen, Z., & Li, M. (2021) · Oil Crop Science · doi:10.1016/j.ocsci.2021.07.002 · Cited by 24
Rational guide RNA engineering for small-molecule control of CRISPR/Cas9 and gene editing
Liu, X., Xiong, W., Qi, Q., Zhang, Y., Ji, H., Cui, S., An, J., Sun, X., Yin, H., Tian, T., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac255 · Cited by 25
CRISPR/Cas9-Based Genome Editing of Transcription Factor Genes in Marchantia polymorpha
Sugano, S. S., & Nishihama, R. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-8657-6_7 · Cited by 24
CRISPR-Cas9: A multifaceted therapeutic strategy for cancer treatment
Kaushik, I., Ramachandran, S., & Srivastava, S. (2019) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2019.04.018 · Cited by 25
Collias, D., Leenay, R. T., Slotkowski, R., Zuo, Z., Collins, S. P., McGirr, B. A., Liu, J., & Beisel, C. L. (2020) · Science Advances · doi:10.1126/sciadv.abb4054 · Cited by 24
CRISPR Technology for Genome Activation and Repression in Mammalian CellsPreprint
Du, D., & Qi, L. S. (2016) · Cold Spring Harbor Protocols · doi:10.1101/pdb.prot090175 · Cited by 24
Musolino, P. L., Rosser, S. J., Brittan, M., Newby, D. E., Berry, C., Riley, P. R., Giacca, M., Hajjar, R. J., & Baker, A. H. (2025) · Cardiovascular Research · doi:10.1093/cvr/cvaf109 · Cited by 23
Research progress of base editing and prime editing tools based on the CRISPR/Cas system
Gao, H., Gao, S., Kan, G., Valentovich, L. N., & An, Y. (2025) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2025.102771 · Cited by 26
Cas9 Variants Expand the Target Repertoire in Caenorhabditis elegans
Bell, R. T., Fu, B. X. H., & Fire, A. Z. (2015) · Genetics · doi:10.1534/genetics.115.185041 · Cited by 23
Future of human mitochondrial DNA editing technologies
Verechshagina, N. A., Nikitchina, N., Yamada, Y., Harashima, Н., Tanaka, M., Orishchenko, К. E., & Mazunin, I. (2018) · Mitochondrial DNA Part A · doi:10.1080/24701394.2018.1472773 · Cited by 23
Therapeutic application of the CRISPR system: current issues and new prospects
Lee, M., & Kim, S. (2019) · Human Genetics · doi:10.1007/s00439-019-02028-2 · Cited by 23
Modification of Cas9, gRNA and PAM: Key to further regulate genome editing and its applications
Gupta, R. K., Gupta, D., Kazi, T. A., Dey, D., Singh, R., Swarnakar, S., Ravichandiran, V., Roy, S., & Ghosh, D. (2021) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2020.12.001 · Cited by 23
Increasing the Targeting Scope of CRISPR Base Editing System Beyond NGG
Yu, S.-Y., Birkenshaw, A., Thomson, T., Carlaw, T., Zhang, L., & Ross, C. J. (2022) · The CRISPR Journal · doi:10.1089/crispr.2021.0109 · Cited by 23
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Kang, M., Zuo, Z., Yin, Z., & Gu, J. (2022) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.1c01562 · Cited by 23
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Huang, S., Dai, R., Zhang, Z., Zhang, H., Zhang, M., Li, Z., Zhao, K., Xiong, W., Cheng, S., Wang, B., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241713447 · Cited by 25
Self-citationCoCas9 is a compact nuclease from the human microbiome for efficient and precise genome editing
Pedrazzoli, E., Demozzi, M., Visentin, E., Ciciani, M., Bonuzzi, I., Pezzè, L., Lucchetta, L., Maule, G., Amistadi, S., Esposito, F., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-47800-9 · Cited by 26
Cheng, J., Roden, C., Pan, W. Q., Zhu, S., Eastman, A. E., Pan, X., Jiang, T., Kluger, Y., Weissman, S. M., Guo, S., et al. (2016) · Nature Communications · doi:10.1038/ncomms11178 · Cited by 23
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Lin, J. J., & Musunuru, K. (2016) · FEBS Journal · doi:10.1111/febs.13763 · Cited by 23
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Feng, Y., Chen, C., Han, Y., Chen, Z., Lu, X., Liang, F., Li, S., Qin, W., & Lin, S. (2016) · G3 Genes Genomes Genetics · doi:10.1534/g3.116.031914 · Cited by 23
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White, M. K., Kaminski, R., Young, W., Roehm, P. C., & Khalili, K. (2017) · Journal of Cellular Biochemistry · doi:10.1002/jcb.26099 · Cited by 25
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Zhang, D., & Zhang, B. (2020) · Trends in Genetics · doi:10.1016/j.tig.2020.05.001 · Cited by 23
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Huang, B., Johansen, K. H., & Schwartzberg, P. L. (2018) · Current Protocols in Immunology · doi:10.1002/cpim.62 · Cited by 24
Joberty, G., Fälth-Savitski, M., Paulmann, M., Böesche, M., Doce, C., Cheng, A. T., Drewes, G., & Grandi, P. (2020) · The CRISPR Journal · doi:10.1089/crispr.2019.0064 · Cited by 25
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Vinodkumar, P. K., Ozcinar, C., & Anbarjafari, G. (2021) · Entropy · doi:10.3390/e23050608 · Cited by 22
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Chuang, C.-K., & Lin, W. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22189872 · Cited by 26
Zhou, W., Yang, J., Zhang, Y., Hu, X., & Wang, W. (2022) · MedComm · doi:10.1002/mco2.155 · Cited by 23
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Qi, T., Wang, Y., Yang, Y., Gao, S., Liu, J., Huang, Q., Tian, Y., Tang, J., Zheng, W., & Wang, Y. (2023) · Nature Chemical Biology · doi:10.1038/s41589-023-01481-5 · Cited by 23
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Vlashi, R., Zhang, X., Li, H., & Chen, G. (2023) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-023-09860-y · Cited by 24
Deshpande, K. S., Vyas, A. K., Balakrishnan, A., & Vyas, D. (2015) · American Journal of Robotic Surgery · doi:10.1166/ajrs.2015.1023 · Cited by 22
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Shah, A. N., Moens, C. B., & Miller, A. C. (2016) · Methods in cell biology · doi:10.1016/bs.mcb.2016.01.008 · Cited by 22
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Lau, C., & Suh, Y. (2016) · Gerontology · doi:10.1159/000452972 · Cited by 22
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Razzouk, S. (2018) · Annals of Human Genetics · doi:10.1111/ahg.12271 · Cited by 22
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Банников, А. В., & Лавров, А. В. (2017) · Molecular Biology · doi:10.1134/s0026893317040033 · Cited by 22
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Jeung, K., Kim, M., Jang, E., Shon, Y. J., & Jung, G. Y. (2025) · Biotechnology Advances · doi:10.1016/j.biotechadv.2025.108522 · Cited by 21
Menon, A. V., Song, B., Chao, L., Sriram, D., Chansky, P. A., Bakshi, I., Ulianova, J., & Li, W. (2025) · Frontiers in Genome Editing · doi:10.3389/fgeed.2025.1565387 · Cited by 21
Zheng, X., Qi, C., Yang, L., Quan, Q., Liu, B., Zhong, Z., Tang, X. D., Fan, T., Zhou, J., & Zhang, Y. (2020) · Frontiers in Plant Science · doi:10.3389/fpls.2020.00621 · Cited by 22
Asano, Y., Yamashita, K., Hasegawa, A., Ogasawara, T., Iriki, H., & Muramoto, T. (2021) · Scientific Reports · doi:10.1038/s41598-021-89546-0 · Cited by 24
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Wang, T., Wang, Y., Chen, P., Yin, B., & Ye, B. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.2c02617 · Cited by 21
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Self-citationSeo, S.-Y., Min, S., Lee, S., Seo, J. H., Park, J., Kim, H. K., Song, M., Baek, D., Cho, S., & Kim, S. (2023) · Nature Methods · doi:10.1038/s41592-023-01875-2 · Cited by 21
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Fujii, W., Kakuta, S., Yoshioka, S., Kyuwa, S., Sugiura, K., & Naito, K. (2016) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2016.06.070 · Cited by 20
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Metadata
- Authors
- Kleinstiver, B. P., Prew, M. S., Tsai, S. Q., Topkar, V. V., Nguyen, N. T., Zheng, Z., Gonzales, A. P. W., Li, Z., Peterson, R. T., Yeh, J.-R. J., Aryee, M. J., & Joung, J. K.
- Affiliations
- Harvard University (US)
- Massachusetts General Hospital (US)
- Broad Institute (US)
- Corresponding author
- Joung, J. Keith
- ORCID
- Venue
- Nature
- Published
- 2015-06-22
- Volume
- 523
- Issue
- 7561
- Pages
- 481-485
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4540238
- OpenAlex
- W4245053291
- Semantic Scholar
- afe29e1767b5d0f3563ee9f2c1a586a9d5e8cb9b
- Cited by
- 1,624
- References
- 36
- Citations by year
- 2026: 58 · 2025: 105 · 2024: 117 · 2023: 134 · 2022: 166 · 2021: 165 · 2020: 164 · 2019: 154 · 2018: 147 · 2017: 186 · 2016: 167 · 2015: 58
- FWCI
- 80.95
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institute of General Medical Sciences (DP1GM105378, R01GM107427, R01GM088040)
- National Center for Chronic Disease Prevention and Health Promotion (DP1 GM105378)
- 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
- CRISPR/Cas9, SpCas9, protospacer adjacent motif, genome editing, off-target effects, SaCas9, Cas9 nickase, zebrafish
- MeSH terms
- Animals, Cell Line, Humans, Mutation, Staphylococcus aureus, Streptococcus pyogenes, Substrate Specificity, Zebrafish, Protein Engineering, Genome, Directed Molecular Evolution, Amino Acid Substitution, Streptococcus thermophilus, Nucleotide Motifs, Clustered Regularly Interspaced Short Palindromic Repeats, CRISPR-Cas Systems, CRISPR-Associated Proteins
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