The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
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.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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]
The cited source says what the claim attributes to it.
In the citing paper
“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]
The cited source says what the claim attributes to it.
In the citing paper
“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
The cited source says what the claim attributes to it.
In the citing paper
“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
The cited source says what the claim attributes to it.
In the citing paper
“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]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“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
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“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]
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.
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
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Items 301–400 of 1,001
Biased and unbiased methods for the detection of off-target cleavage by CRISPR/Cas9: An overview
Martin, F., Sánchez-Hernández, S., Gutiérrez-Guerrero, A., Pinedo-Gomez, J., & Benabdellah, K. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17091507 · Cited by 92
Homology-based double-strand break-induced genome engineering in plants
Steinert, J., Schiml, S., & Puchta, H. (2016) · Plant Cell Reports · doi:10.1007/s00299-016-1981-3 · Cited by 92
Off‐target effects of engineered nucleases
Yee, J. (2016) · FEBS Journal · doi:10.1111/febs.13760 · Cited by 95
Discovery of Diverse CRISPR-Cas Systems and Expansion of the Genome Engineering Toolbox
Koonin, E. V., Gootenberg, J. S., & Abudayyeh, O. O. (2023) · Biochemistry · doi:10.1021/acs.biochem.3c00159 · Cited by 95
Kemaladewi, D. U., Maino, E., Hyatt, E., Hou, H., Ding, M., Place, K. M., Zhu, X., Bassi, P. S., Baghestani, Z., Deshwar, A. G., et al. (2017) · Nature Medicine · doi:10.1038/nm.4367 · Cited by 96
Kim, J., Cho, J. Y., Kim, J.-W., Kim, H., Noh, J. K., Kim, Y., Hwang, H.-K., Kim, W., Yeo, S., An, C. M., et al. (2019) · Aquaculture · doi:10.1016/j.aquaculture.2019.734336 · Cited by 91
Chemical Synthesis and Biological Application of Modified Oligonucleotides
Glazier, D. A., Liao, J., Roberts, B. L., Li, X., Yang, K., Stevens, C. M., & Tang, W. (2020) · Bioconjugate Chemistry · doi:10.1021/acs.bioconjchem.0c00060 · Cited by 94
CRISPR-Cas9 library screening approach for anti-cancer drug discovery: overview and perspectives
Chan, Y.-T., Lu, Y., Wu, J., Zhang, C., Tan, H., Bian, Z., Wang, N., & Feng, Y. (2022) · Theranostics · doi:10.7150/thno.71144 · Cited by 93
Shao, F., Gao, Y., Wang, W., He, H., Xiao, L., Geng, X., Xia, Y., Guo, D. S., Fang, J., He, J., et al. (2022) · Nature Cancer · doi:10.1038/s43018-022-00444-4 · Cited by 93
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
Genome editing in cardiovascular diseases
Strong, A., & Musunuru, K. (2016) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2016.139 · Cited by 91
Optimization of genome editing through CRISPR-Cas9 engineering
Zhang, J.-H., Adikaram, P. R., Pandey, M., Genis, A., & Simonds, W. F. (2016) · Bioengineered · doi:10.1080/21655979.2016.1189039 · Cited by 94
Versatility of chemically synthesized guide RNAs for CRISPR-Cas9 genome editing
Kelley, M. L., Strezoska, Ž., He, K., Vermeulen, A., & Smith, A. V. B. (2016) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2016.06.011 · Cited by 89
Application of the CRISPR/Cas9 System to Drug Resistance in Breast Cancer
Chen, Y., & Zhang, Y. (2018) · Advanced Science · doi:10.1002/advs.201700964 · Cited by 91
Vision rescue via unconstrained in vivo prime editing in degenerating neural retinas
Qin, H., Zhang, W., Zhang, S., Feng, Y., Xu, W., Jia, Q., Zhang, Q., Xu, C., Liu, S., Zhang, J., et al. (2023) · The Journal of Experimental Medicine · doi:10.1084/jem.20220776 · Cited by 95
Cas9, Cpf1 and C2c1/2/3―What's next?
Nakade, S., Yamamoto, T., & Sakuma, T. (2017) · Bioengineered · doi:10.1080/21655979.2017.1282018 · Cited by 92
Turan, S., Farruggio, A. P., Srifa, W., Day, J., & Calos, M. P. (2016) · Molecular Therapy · doi:10.1038/mt.2016.40 · Cited by 88
Effective gene editing by high-fidelity base editor 2 in mouse zygotes
Liang, P., Sun, H., Sun, Y., Zhang, X., Xie, X., Zhang, J., Zhang, Z., Chen, Y., Ding, C., Xiong, Y., et al. (2017) · Protein & Cell · doi:10.1007/s13238-017-0418-2 · Cited by 91
Puchta, H. (2015) · The Plant Journal · doi:10.1111/tpj.13100 · Cited by 87
Cas9-assisted recombineering in C. elegans : genome editing using in vivo assembly of linear DNAs
Paix, A., Schmidt, H., & Seydoux, G. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw502 · Cited by 88
Deep learning improves the ability of sgRNA off-target propensity prediction
Liu, Q., Cheng, X., Liu, G., Li, B., & Liu, X. (2020) · BMC Bioinformatics · doi:10.1186/s12859-020-3395-z · Cited by 88
Efficient genome engineering approaches for the short-lived African turquoise killifish
Harel, I., Valenzano, D. R., & Brunet, A. (2016) · Nature Protocols · doi:10.1038/nprot.2016.103 · Cited by 89
Bioengineering Solutions for Manufacturing Challenges in CAR T Cells
Piscopo, N. J., Mueller, K. P., Das, A., Hematti, P., Murphy, W. L., Palecek, S. P., Capitini, C. M., & Saha, K. (2017) · Biotechnology Journal · doi:10.1002/biot.201700095 · Cited by 93
Volke, D. C., Martino, R. A., Kozaeva, E., Smania, A. M., & Nikel, P. I. (2022) · Nature Communications · doi:10.1038/s41467-022-30780-z · Cited by 89
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
Beyond Native Cas9: Manipulating Genomic Information and Function
Mitsunobu, H., Teramoto, J., Nishida, K., & Kondo, A. (2017) · Trends in biotechnology · doi:10.1016/j.tibtech.2017.06.004 · Cited by 87
Molecular architectures and mechanisms of Class 2 CRISPR-associated nucleases
Garcia‐Doval, C., & Jínek, M. (2017) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2017.10.015 · Cited by 85
Yang, L., Zhang, X., Wang, L., Yin, S., Zhu, B., Xie, L., Duan, Q., Hu, H., Zheng, R., Yu, W., et al. (2018) · Protein & Cell · doi:10.1007/s13238-018-0568-x · Cited by 85
Improving CRISPR-Cas9 Genome Editing Efficiency by Fusion with Chromatin-Modulating Peptides
Ding, X. L., Seebeck, T., Feng, Y., Jiang, Y., Davis, G. D., & Chen, F. (2019) · The CRISPR Journal · doi:10.1089/crispr.2018.0036 · Cited by 87
Engineering Gene Therapy: Advances and Barriers
Shahryari, A., Burtscher, I., Nazari, Z., & Lickert, H. (2021) · Advanced Therapeutics · doi:10.1002/adtp.202100040 · Cited by 87
Genome editing in crop improvement: Present scenario and future prospects
Miglani, G. S. (2017) · Journal of Crop Improvement · doi:10.1080/15427528.2017.1333192 · Cited by 86
CRISPR/Cas9 Technology and Its Utility for Crop Improvement
Liu, H., Chen, W., Li, Y., Sun, L., Chai, Y., Chen, H., Nie, H., & Huang, C. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms231810442 · Cited by 85
Click editing enables programmable genome writing using DNA polymerases and HUH endonucleases
da Silva, J. F., Tou, C. J., King, E. M., Eller, M. L., Rufino‐Ramos, D., Ma, L., Cromwell, C. R., Metović, J., Benning, F. M. C., Chao, L. H., et al. (2024) · Nature Biotechnology · doi:10.1038/s41587-024-02324-x · Cited by 86
Self-citationGene Editing With CRISPR/Cas9 RNA-Directed Nuclease
Doetschman, T., & Georgieva, T. G. (2017) · Circulation Research · doi:10.1161/circresaha.116.309727 · Cited by 91
Guide RNA engineering for versatile Cas9 functionality
Nowak, C. M., Lawson, S., Zerez, M., & Bleris, L. G. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw908 · Cited by 83
The Amaryllidaceae alkaloids: biosynthesis and methods for enzyme discovery
Kilgore, M. B., & Kutchan, T. M. (2015) · Phytochemistry Reviews · doi:10.1007/s11101-015-9451-z · Cited by 82
Chen, P., Zhou, J., Wan, Y., Liu, H., Li, Y., Liu, Z., Wang, H., Lei, J., Zhao, K., Zhang, Y., et al. (2020) · Genome biology · doi:10.1186/s13059-020-01989-2 · Cited by 86
Expanding the plant genome editing toolbox with recently developed CRISPR–Cas systems
Wada, N., Osakabe, K., & Osakabe, Y. (2022) · PLANT PHYSIOLOGY · doi:10.1093/plphys/kiac027 · Cited by 83
Shen, C., Hsu, M., Chang, C.-W., Lin, M., Hwu, J. R., Tu, Y., & Hu, Y. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1165 · Cited by 82
Non-homologous DNA increases gene disruption efficiency by altering DNA repair outcomes
Richardson, C. D., Ray, G. J., Bray, N., & Corn, J. E. (2016) · Nature Communications · doi:10.1038/ncomms12463 · Cited by 85
Kumar, N., Stanford, W., de Solis, C., Aradhana, Abraham, N. D., Dao, T.-M. J., Thaseen, S., Sairavi, A., Gonzalez, C. U., & Ploski, J. E. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00413 · Cited by 79
Ji, H., Jiang, Z., Lu, P., Ma, L., Li, C., Pan, H., Fu, Z., Qu, X., Wang, P., Deng, J., et al. (2016) · Molecular Therapy · doi:10.1038/mt.2016.7 · Cited by 80
Endogenous Fluorescence Tagging by CRISPR
Bukhari, H., & Müller, T. (2019) · Trends in Cell Biology · doi:10.1016/j.tcb.2019.08.004 · Cited by 82
Virus-Like Particle Mediated CRISPR/Cas9 Delivery for Efficient and Safe Genome Editing
Lyu, P., Wang, L., & Lu, B. (2020) · Life · doi:10.3390/life10120366 · Cited by 79
Rationally Designed Base Editors for Precise Editing of the Sickle Cell Disease Mutation
Chu, S. H., Packer, M. S., Rees, H. A., Lam, D. K., Yu, Y., Marshall, J., Cheng, L.-I., Lam, D., Olins, J., Ran, F. A., et al. (2021) · The CRISPR Journal · doi:10.1089/crispr.2020.0144 · Cited by 79
A simple, flexible and high‐throughput cloning system for plant genome editing via CRISPR‐Cas system
Kim, H., Kim, S., Ryu, J., Choi, M. K., Kweon, J., Kang, B., Ahn, H., Bae, S., Kim, J., Kim, J., et al. (2016) · Journal of Integrative Plant Biology · doi:10.1111/jipb.12474 · Cited by 78
Imaging Specific Genomic DNA in Living Cells
Chen, B., Guan, J., & Huang, B. (2016) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-062215-010830 · Cited by 77
Xu, X., Duan, D., & Chen, S. (2017) · Scientific Reports · doi:10.1038/s41598-017-00180-1 · Cited by 79
Development and Application of CRISPR/Cas in Microbial Biotechnology
Ding, W., Zhang, Y., & Shi, S. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00711 · Cited by 81
Lineage tracing and analog recording in mammalian cells by single-site DNA writing
Loveless, T. B., Grotts, J. H., Schechter, M. W., Forouzmand, E., Carlson, C. K., Agahi, B. S., Liang, G., Ficht, M., Liu, B., Xie, X. S., et al. (2021) · Nature Chemical Biology · doi:10.1038/s41589-021-00769-8 · Cited by 79
Expanding the genome-targeting scope and the site selectivity of high-precision base editors
Tan, J., Zhang, F., Karcher, D., & Bock, R. (2020) · Nature Communications · doi:10.1038/s41467-020-14465-z · Cited by 79
Antiviral Goes Viral: Harnessing CRISPR/Cas9 to Combat Viruses in Humans
Soppe, J. A., & Lebbink, R. J. (2017) · Trends in Microbiology · doi:10.1016/j.tim.2017.04.005 · Cited by 79
CRISPR-Cas System: An Approach With Potentials for COVID-19 Diagnosis and Therapeutics
Kumar, P., Malik, Y. S., Ganesh, B., Rahangdale, S., Saurabh, S., Natesan, S., Srivastava, A., Sharun, K., Yatoo, M. I., Tiwari, R., et al. (2020) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2020.576875 · Cited by 76
Custom CRISPR–Cas9 PAM variants via scalable engineering and machine learning
Silverstein, R. A., Kim, N., Kroell, A.-S. H., Walton, R. T., Delano, J., Butcher, R. M., Pačesa, M., Smith, B., Christie, K. A., Ha, L. L., et al. (2025) · Nature · doi:10.1038/s41586-025-09021-y · Cited by 87
Self-citationAdvanced Nanotheranostics of CRISPR/Cas for Viral Hepatitis and Hepatocellular Carcinoma
Kong, H., Ju, E., Yi, K., Xu, W., Lao, Y., Cheng, D., Zhang, Q., Tao, Y., Li, M., & Ding, J. (2021) · Advanced Science · doi:10.1002/advs.202102051 · Cited by 77
CRISPR/Cas-Based Modifications for Therapeutic Applications: A Review
Bharathkumar, N., Abraham, S., Meera, P., Aksah, S., Muthu, K., Saravanan, K. M., & Anand, T. (2021) · Molecular Biotechnology · doi:10.1007/s12033-021-00422-8 · Cited by 80
Genome Editing and Its Applications in Model Organisms
Ma, D., & Liu, F. (2015) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2015.12.001 · Cited by 81
Deep learning models to predict the editing efficiencies and outcomes of diverse base editors
Kim, N., Choi, S.-C., Kim, S., Song, M., Seo, J. H., Min, S., Park, J., Cho, S., & Kim, S. (2023) · Nature Biotechnology · doi:10.1038/s41587-023-01792-x · Cited by 78
Alves, C. R. R., Ha, L. L., Yaworski, R., Sutton, E. R., Lazzarotto, C. R., Christie, K. A., Reilly, A., Beauvais, A., Doll, R. M., de la Cruz, D., et al. (2023) · Nature Biomedical Engineering · doi:10.1038/s41551-023-01132-z · Cited by 72
Self-citationCRISPR-Cas9 genome engineering: Treating inherited retinal degeneration
Burnight, E. R., Giacalone, J. C., Cooke, J. A., Thompson, J. R., Bohrer, L. R., Chirco, K. R., Drack, A. V., Fingert, J. H., Worthington, K. S., Wiley, L. A., et al. (2018) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2018.03.003 · Cited by 79
CRISPR-Cas System: History and Prospects as a Genome Editing Tool in Microorganisms
Javed, M. R., Sadaf, M., Ahmed, T., Jamil, A., Nawaz, M., Abbas, H., & Ijaz, A. (2018) · Current Microbiology · doi:10.1007/s00284-018-1547-4 · Cited by 78
Targeted Gene Manipulation in Plants Using the CRISPR/Cas Technology
Zhang, D., Li, Z., & Li, J.-F. (2016) · Journal of Genetics and Genomics · doi:10.1016/j.jgg.2016.03.001 · Cited by 67
Self-citationFrom Genetic Stock to Genome Editing: Gene Exploitation in Wheat
Wang, M., Wang, S., Liang, Z., Shi, W., Gao, C., & Xia, G. (2017) · Trends in biotechnology · doi:10.1016/j.tibtech.2017.10.002 · Cited by 75
Versatile and robust genome editing with Streptococcus thermophilus CRISPR1-Cas9Preprint
Agudelo, D., Carter, S., Velimirovic, M., Duringer, A., Rivest, J.-F., Levesque, S., Loehr, J., Mouchiroud, M., Cyr, D., Waters, P. J., et al. (2020) · Genome Research · doi:10.1101/gr.255414.119 · Cited by 75
CRISPR-induced DNA reorganization for multiplexed nucleic acid detection
Karlikow, M., Amalfitano, E., Yang, X., Doucet, J., Chapman, A., Mousavi, P. S., Homme, P., Sutyrina, P., Chan, W., Lemak, S., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36874-6 · Cited by 75
Functional genomics to uncover drug mechanism of action
Nijman, S. M. B. (2015) · Nature Chemical Biology · doi:10.1038/nchembio.1963 · Cited by 75
Genetic engineering of trees: progress and new horizons
Chang, S., Mahon, E. L., MacKay, H. A., Rottmann, W. H., Strauss, S. H., Pijut, P. M., Powell, W. A., Coffey, V., Lu, H., Mansfield, S. D., et al. (2018) · In Vitro Cellular & Developmental Biology - Plant · doi:10.1007/s11627-018-9914-1 · Cited by 73
Applications of CRISPR/Cas9 for the Treatment of Duchenne Muscular Dystrophy
Lim, K. R. Q., Yoon, C., & Yokota, T. (2018) · Journal of Personalized Medicine · doi:10.3390/jpm8040038 · Cited by 75
Recent Advances in the Application of CRISPR/Cas9 Gene Editing System in Poultry Species
Khwatenge, C. N., & Nahashon, S. N. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.627714 · Cited by 76
Cas13d: A New Molecular Scissor for Transcriptome Engineering
Gupta, R. K., Ghosh, A., Chakravarti, R., Singh, R., Ravichandiran, V., Swarnakar, S., & Ghosh, D. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.866800 · Cited by 74
tRNA therapeutics for genetic diseases
Coller, J., & Ignatova, Z. (2023) · Nature Reviews Drug Discovery · doi:10.1038/s41573-023-00829-9 · Cited by 72
Applications of genome editing in insects
Reid, W. R., & O’Brochta, D. A. (2015) · Current Opinion in Insect Science · doi:10.1016/j.cois.2015.11.001 · Cited by 72
Bisaria, N., Jarmoskaite, I., & Herschlag, D. (2017) · Cell Systems · doi:10.1016/j.cels.2016.12.010 · Cited by 74
Khosravi, M. A., Abbasalipour, M., Concordet, J., Berg, J. V., Zeinali, S., Arashkia, A., Azadmanesh, K., Buch, T., & Karimipoor, M. (2019) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2019.04.042 · Cited by 71
Legut, M., Daniloski, Z., Xue, X., McKenzie, D., Guo, X., Wessels, H., & Sanjana, N. E. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.02.010 · Cited by 71
Engineering Abiotic Stress Tolerance in Crop Plants through CRISPR Genome Editing
Rahman, M., Zulfiqar, S., Raza, M. A., Ahmad, N., & Zhang, B. (2022) · Cells · doi:10.3390/cells11223590 · Cited by 74
Genetic engineering meets hematopoietic stem cell biology for next-generation gene therapy
Ferrari, S., Valeri, E., Conti, A., Scala, S., Aprile, A., Micco, R. D., Kajaste‐Rudnitski, A., Montini, E., Ferrari, G., Aiuti, A., et al. (2023) · Cell stem cell · doi:10.1016/j.stem.2023.04.014 · Cited by 75
CRISPR-based genome editing in wheat: a comprehensive review and future prospects
Kumar, R., Kaur, A., Pandey, A., Mamrutha, H. M., & Singh, G. P. (2019) · Molecular Biology Reports · doi:10.1007/s11033-019-04761-3 · Cited by 70
Class 2 CRISPR–Cas RNA-guided endonucleases: Swiss Army knives of genome editing
Stella, S., Alcón, P., & Montoya, G. (2017) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.3486 · Cited by 71
Gene Editing of HIV-1 Co-receptors to Prevent and/or Cure Virus Infection
Allen, A. G., Chung, C.-H., Atkins, A., Dampier, W., Khalili, K., Nonnemacher, M. R., & Wigdahl, B. L. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.02940 · Cited by 70
Akram, F., Sahreen, S., Aamir, F., Haq, I. U., Malik, K. A., Imtiaz, M., Naseem, W., Nasir, N., & Waheed, H. M. (2022) · Molecular Biotechnology · doi:10.1007/s12033-022-00501-4 · Cited by 72
Moyo, B., Bloom, K. M., Scott, T. A., Ely, A., & Arbuthnot, P. B. (2017) · Virus Research · doi:10.1016/j.virusres.2017.01.003 · Cited by 70
Aglawe, S. B., Barbadikar, K. M., Mangrauthia, S. K., & Madhav, M. S. (2018) · 3 Biotech · doi:10.1007/s13205-018-1355-3 · Cited by 70
CRISPR/Cas9: A Novel Weapon in the Arsenal to Combat Plant Diseases
Das, A., Sharma, N., & Prasad, M. (2019) · Frontiers in Plant Science · doi:10.3389/fpls.2018.02008 · Cited by 71
CRISPR/Cas9 gene-editing strategies in cardiovascular cells
Vermersch, E., Jouve, C., & Hulot, J. (2019) · Cardiovascular Research · doi:10.1093/cvr/cvz250 · Cited by 74
Efficient genomic correction methods in human iPS cells using CRISPR–Cas9 system
Li, H. L., Gee, P., Ishida, K., & Hotta, A. (2016) · Methods · doi:10.1016/j.ymeth.2015.10.015 · Cited by 62
DNA-free genome editing methods for targeted crop improvement
Kanchiswamy, C. N. (2016) · Plant Cell Reports · doi:10.1007/s00299-016-1982-2 · Cited by 76
Mapping the sugar dependency for rational generation of a DNA-RNA hybrid-guided Cas9 endonuclease
Rueda, F. O., Biśta, M., Newton, M. D., Goeppert, A. U., Cuomo, M. E., Gordon, E., Kroener, F., Read, J. A., Wrigley, J. D. J., Rueda, D., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01732-9 · Cited by 70
A Broad Overview and Review of CRISPR-Cas Technology and Stem Cells
Waddington, S. N., Privolizzi, R., Karda, R., & O’Neill, H. C. (2016) · Current Stem Cell Reports · doi:10.1007/s40778-016-0037-5 · Cited by 69
Robust and stable transcriptional repression in Giardia using CRISPRi
McInally, S. G., Hagen, K. D., Nosala, C., Williams, J. C., Nguyen, K., Booker, J., Jones, K., & Dawson, S. C. (2018) · Molecular Biology of the Cell · doi:10.1091/mbc.e18-09-0605 · Cited by 73
Therapeutic potentials of CRISPR-Cas genome editing technology in human viral infections
Najafi, S., Tan, S. C., Aghamiri, S., Raee, P., Ebrahimi, Z., Jahromi, Z. K., Rahmati, Y., Nahand, J. S., Piroozmand, A., Jajarmi, V., et al. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.112743 · Cited by 69
A history of genome editing in mammals
Fernández, A., Josa, S., & Montoliu, L. (2017) · Mammalian Genome · doi:10.1007/s00335-017-9699-2 · Cited by 68
Nucleic acids delivering nucleic acids
Catuogno, S., Esposito, C. L., Condorelli, G., & de Franciscis, V. (2018) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.04.006 · Cited by 68
High-Efficiency CRISPR/Cas9-Mediated Gene Editing in Honeybee ( Apis mellifera ) Embryos
Hu, X. F., Zhang, B., Liao, C., & Zeng, Z. J. (2019) · G3 Genes Genomes Genetics · doi:10.1534/g3.119.400130 · Cited by 68
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
High-Throughput Approaches to Pinpoint Function within the Noncoding Genome
Montalbano, A., Canver, M. C., & Sanjana, N. E. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.09.017 · Cited by 68
CRISPR/Cas9 for Sickle Cell Disease: Applications, Future Possibilities, and Challenges
Demirci, S., Leonard, A., Haro-Mora, J. J., Uchida, N., & Tisdale, J. F. (2019) · Advances in Experimental Medicine and Biology · doi:10.1007/5584_2018_331 · Cited by 50
Micropeptide MIAC Inhibits HNSCC Progression by Interacting with Aquaporin 2
Li, M., Li, X., Zhang, Y., Wu, H., Zhou, H., Ding, X., Zhang, X., Jin, X., Wang, Y., Yin, X., et al. (2020) · Journal of the American Chemical Society · doi:10.1021/jacs.0c00706 · Cited by 67
Yoon, H. H., Ye, S., Lim, S., Jo, A., Lee, H., Hong, F., Lee, S. E., Oh, S., Kim, N., Kim, K., et al. (2022) · The CRISPR Journal · doi:10.1089/crispr.2021.0025 · Cited by 68
Strategies for precision modulation of gene expression by epigenome editing: an overview
Laufer, B. I., & Singh, S. M. (2015) · Epigenetics & Chromatin · doi:10.1186/s13072-015-0023-7 · Cited by 70
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
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