The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
DNA targeting specificity of RNA-guided Cas9 nucleases
Open accessAbstract
The Streptococcus pyogenes Cas9 (SpCas9) nuclease can be efficiently targeted to genomic loci by means of single-guide RNAs (sgRNAs) to enable genome editing. Here, we characterize SpCas9 targeting specificity in human cells to inform the selection of target sites and avoid off-target effects. Our study evaluates >700 guide RNA variants and SpCas9-induced indel mutation levels at >100 predicted genomic off-target loci in 293T and 293FT cells. We find that SpCas9 tolerates mismatches between guide RNA and target DNA at different positions in a sequence-dependent manner, sensitive to the number, position and distribution of mismatches. We also show that SpCas9-mediated cleavage is unaffected by DNA methylation and that the dosage of SpCas9 and sgRNA can be titrated to minimize off-target modification. To facilitate mammalian genome engineering applications, we provide a web-based software tool to guide the selection and validation of target sequences as well as off-target analyses.
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In the citing paper
“For example, off-target cleavages of the Cas9 nucleases that cause oncogenic mutations in the genome have been reported extensively [123,124].”
From Utility of iPSC-Derived Cells for Disease Modeling, Drug Development, and Cell Therapy (2022) · cites this paper as [123]
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
“The off-target sites are often sgRNA-dependent, since Cas9 is known to tolerate up to 3 mismatches between sgRNA and genomic DNA (Fu et al., 2013; Hsu et al., 2013; Wang et al., 2016a).”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as Hsu et al., 2013
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
“Although CRISPR/Cas systems exhibit tremendous potential in translational medicine, off-target effects remain a major challenge (Fu et al., 2013; Hsu et al., 2013; Pacesa et al., 2022).”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as Hsu et al., 2013
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
“and it maintains cleaving activity even with 3-5 mismatches at the PAM-distal end of the gRNA molecule [59,81,102].”
From CRISPR-Cas: Converting A Bacterial Defence Mechanism into A State-of-the-Art Genetic Manipulation Tool (2019) · cites this paper as [102]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“The algorithm of MIT weights the position effect of the mismatches in the sgRNA to generate a score to evaluate off-target effects (Hsu et al., 2013; Haeussler et al., 2016).”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as Hsu et al., 2013
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In the citing paper
“The PAM sequence adjacent to the target sequence greatly affects the editing efficiency and editing range of Cas9.”
From Machine learning-based prediction models to guide the selection of Cas9 variants for efficient gene editing (2024) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“Cas9 is guided by a 20 nt fraction of the gRNA”
From CRISPR-Cas: Converting A Bacterial Defence Mechanism into A State-of-the-Art Genetic Manipulation Tool (2019) · cites this paper as [102]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Recombinant expression and purification of EvoCas9–1 paired with chemically synthesized Evo-generated single guide RNA (sgRNA) exhibited comparable in vitro cleavage activity to SpCas9 paired with the canonical SpCas9 sgRNA”
From Sequence modeling and design from molecular to genome scale with Evo (2024) · cites this paper as [63]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“When two sgRNAs are designed to simultaneously cut the two opposite strands of DNA within a small distance, DSBs can be created with markedly lower off-target effects (Hsu et al., 2013; Frock et al., 2015).”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as Hsu et al., 2013
Experimental — accuracy not yet measuredIn the citing paper
“By bioinformatic screening and efficiency/off-target prediction (14, 15), we identified four gRNA targets (protospacers; LTRs A-D) that avoid conserved transcription factor binding sites, minimizing the likelihood of altering host gene expression”
From RNA-directed gene editing specifically eradicates latent and prevents new HIV-1 infection (2014) · cites this paper as [14]
In the citing paper
“as mentioned in several recent publications, Cas9 tolerates mismatches between the guide RNA and target DNA in a sequence-dependent manner and potentially tolerates up to five target mismatches in human cells [12], [24], [25], [26], [27], thereby promoting undesired off-target mutations.”
From High-efficiency targeted editing of large viral genomes by RNA-guided nucleases (2014) · cites this paper as [25]
In the citing paper
“Because the sequence specificity of Streptococcus pyogenes Cas9 tolerates 4 mismatches between the gRNA and complementary sequence”
From High-efficiency targeted editing of large viral genomes by RNA-guided nucleases (2014) · cites this paper as [25]
In the citing paper
“non-specific cleavage may occur in the cellular genome [12], [24], [25], [26], [27].”
From High-efficiency targeted editing of large viral genomes by RNA-guided nucleases (2014) · cites this paper as [25]
In the citing paper
“However, it has been recently shown that CRISPR/Cas9 system can be highly active even when mismatches occur between gRNA and their DNA targets”
From Newer Gene Editing Technologies toward HIV Gene Therapy (2013) · cites this paper as [91]
In the citing paper
“multiple mismatches between the guide RNA and its complementary target DNA sequence can be tolerated depending on the quantity, position, and base identity of mismatches [87,90,91,93], all of which contribute to potential off-target activity.”
From Newer Gene Editing Technologies toward HIV Gene Therapy (2013) · cites this paper as [91]
In the citing paper
“and off-target mutations occur at endogenous loci in human cells with high frequency [90,91,92].”
From Newer Gene Editing Technologies toward HIV Gene Therapy (2013) · cites this paper as [91]
In the citing paper
“Collectively, these studies indicate that although each base within the 20 nt guide sequence contributes to overall specificity”
From Newer Gene Editing Technologies toward HIV Gene Therapy (2013) · cites this paper as [91]
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Citations
Cites
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
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
Repurposing CRISPR as an RNA-Guided Platform for Sequence-Specific Control of Gene Expression
Qi, L. S., Larson, M. H., Gilbert, L. A., Doudna, J. A., Weissman, J. S., Arkin, A. P., & Lim, W. A. (2013) · Cell · doi:10.1016/j.cell.2013.02.022 · Cited by 5,016
Wang, H., Yang, H., Shivalila, C. S., Dawlaty, M. M., Cheng, A. W., Zhang, F., & Jaenisch, R. (2013) · Cell · doi:10.1016/j.cell.2013.04.025 · Cited by 3,495
Self-citationEfficient genome editing in zebrafish using a CRISPR-Cas system
Hwang, W. Y., Fu, Y., Reyon, D., Maeder, M. L., Tsai, S. Q., Sander, J. D., Peterson, R. T., Yeh, J.-R. J., & Joung, J. K. (2013) · Nature Biotechnology · doi:10.1038/nbt.2501 · Cited by 2,937
CRISPR RNA Maturation by Trans-Encoded Small RNA and Host Factor RNase III
Deltcheva, E., Chylinski, K., Sharma, C. M., Gonzales, K., Chao, Y., Pirzada, Z. A., Eckert, M. R., Vogel, J., & Charpentier, E. (2011) · Nature · doi:10.1038/nature09886 · Cited by 2,563
RNA-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
Self-citationA TALE nuclease architecture for efficient genome editing
Miller, J. C., Tan, S., Qiao, G., Barlow, K. A., Wang, J., Xia, D. F., Meng, X., Paschon, D. E., Leung, E., Hinkley, S. J., et al. (2011) · Nature Biotechnology · doi:10.1038/nbt.1755 · Cited by 2,098
RNA-programmed genome editing in human cells
Jinek, M., East, A., Cheng, A., Lin, S., Ma, E., & Doudna, J. (2013) · eLife · doi:10.7554/elife.00471 · Cited by 2,098
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Wang, L., Shao, Y., Guan, Y., Li, L., Wu, L., Chen, F., Liu, M., Chen, H., Ma, Y., Ma, X., et al. (2015) · Scientific Reports · doi:10.1038/srep17517 · Cited by 97
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Stone, D., Long, K. R., Loprieno, M. A., Feelixge, H. S. D. S., Kenkel, E. J., Liley, R. M., Rapp, S., Roychoudhury, P., Nguyen, T., Stensland, L., et al. (2020) · Molecular Therapy — Methods & Clinical Development · doi:10.1016/j.omtm.2020.11.014 · Cited by 98
“and Hsu et al.(92) for on- and off-target specificity, respectively, with the sgRNA design tool available at https:// benchling.”
MethodZhou, T., Huang, M., Lin, J., Huang, R. Q., & Xing, D. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.0c03708 · Cited by 99
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Trevino, A. E., & Zhang, F. (2014) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/b978-0-12-801185-0.00008-8 · Cited by 106
Self-citationPrecision Targeted Mutagenesis via Cas9 Paired Nickases in Rice
Mikami, M., Toki, S., & Endo, M. (2016) · Plant and Cell Physiology · doi:10.1093/pcp/pcw049 · Cited by 97
Transient transcription in the early embryo sets an epigenetic state that programs postnatal growth
Greenberg, M., Glaser, J., Borsos, M., Marjou, F. E., Walter, M., Teissandier, A., & Bourc’his, D. (2016) · Nature Genetics · doi:10.1038/ng.3718 · Cited by 100
Comparative analyses of secreted proteins in plant pathogenic smut fungi and related basidiomycetes
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Functional variomics and network perturbation: connecting genotype to phenotype in cancer
Yi, S. S., Lin, S., Li, Y., Zhao, W., Mills, G. B., & Sahni, N. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2017.8 · Cited by 105
Self-citationCRISPR/Cas9: An RNA‐guided highly precise synthetic tool for plant genome editing
Demirci, Y., Zhang, B., & Ünver, T. (2017) · Journal of Cellular Physiology · doi:10.1002/jcp.25970 · Cited by 103
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Ford, K. M., McDonald, D., & Mali, P. (2018) · Journal of Molecular Biology · doi:10.1016/j.jmb.2018.06.034 · Cited by 103
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Xu, L., Zhao, L., Gao, Y., Xu, J., & Han, R. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1048 · Cited by 91
Heritable Multiplex Genetic Engineering in Rats Using CRISPR/Cas9
Ma, Y., Shen, B., Zhang, X., Lu, Y., Chen, W., Ma, J., Huang, X., & Zhang, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089413 · Cited by 97
A distant trophoblast-specific enhancer controls HLA-G expression at the maternal–fetal interface
Ferreira, L. M. R., Meissner, T. B., Mikkelsen, T. S., Mallard, W., O’Donnell, C. W., Tilburgs, T., Gomes, H. A. B., Camahort, R., Sherwood, R. I., Gifford, D. K., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1602886113 · Cited by 97
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Lazzarotto, C. R., Nguyen, N. T., Tang, X., Malagon-Lopez, J., Guo, J. A., Aryee, M. J., Joung, J. K., & Tsai, S. Q. (2018) · Nature Protocols · doi:10.1038/s41596-018-0055-0 · Cited by 98
Wang, Y., Wang, Z., Chen, Y., Hua, X., Yu, Y., & Ji, Q. (2019) · Cell chemical biology · doi:10.1016/j.chembiol.2019.09.003 · Cited by 94
Dudiki, T., Meller, J., Mahajan, G., Liu, H., Zhevlakova, I., Stefl, S., Witherow, C., Podrez, E. A., Kothapalli, C. R., & Byzova, T. V. (2020) · Nature Communications · doi:10.1038/s41467-020-14787-y · Cited by 97
Wang, X., Zhou, R., Xiong, Y., Zhou, L., Yan, X., Wang, M., Fan, L., Xie, C., Zhang, Y., Huang, Z., et al. (2021) · Cell Research · doi:10.1038/s41422-020-00451-z · Cited by 99
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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
Liu, Y., Ma, S., Wang, X., Chang, J., Gao, J., Shi, R., Zhang, J., Lü, W., Liu, Y., Zhao, P., et al. (2014) · Insect Biochemistry and Molecular Biology · doi:10.1016/j.ibmb.2014.03.010 · Cited by 96
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Hartenian, E., & Doench, J. G. (2015) · FEBS Journal · doi:10.1111/febs.13248 · Cited by 100
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Byrne, S. M., Mali, P., & Church, G. M. (2014) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/b978-0-12-801185-0.00006-4 · Cited by 101
Lao, Y., Li, M., Gao, M. A., Shao, D., Chi, C., Huang, D., Chakraborty, S., Ho, T., Jiang, W., Wang, H., et al. (2018) · Advanced Science · doi:10.1002/advs.201700540 · Cited by 94
Kimberland, M. L., Hou, W., Alfonso-Pecchio, A. R., Wilson, S. P., Rao, Y., Zhang, S., & Lu, Q. (2018) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2018.08.007 · Cited by 99
Wang, Q., & Coleman, J. J. (2019) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2019.06.007 · Cited by 103
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“Moreover, the CRISPR/Cas9 system is insensitive to base methylation in target sites and allows cleaving multiple sites by co-delivering diverse sgRNA [9].”
BackgroundSelf-citationCancer-selective metabolic vulnerabilities in MYC-amplified medulloblastoma
Gwynne, W. D., Suk, Y., Custers, S., Mikolajewicz, N., Chan, J. K., Zador, Z. E., Chafe, S. C., Zhai, K., Escudero, L., Zhang, C., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.10.009 · Cited by 95
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“…5′-CATTATTCTAAATCGCAGTG; downstream 5′-CCATTCCTCAA ATATAGTGG) for the upstream and downstream loxP sites were designed using several programs 56–59 to flank the whole sequence and on the basis of conservation, a region of around 2,500-bp upstream was included as it potentially contains…”
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“36,74,75 Mismatches within the PAM are also tolerated to some degree, with SpCas9 capable of recognizing the alternative PAM NAG.”
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Xiang, G., Zhang, X., An, C., Cheng, C., & Wang, H. (2017) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2017.03.004 · Cited by 93
Plastin increases cortical connectivity to facilitate robust polarization and timely cytokinesis
Ding, W. Y., Ong, H. T., Hara, Y., Wongsantichon, J., Toyama, Y., Robinson, R. C., Nédélec, F., & Zaidel‐Bar, R. (2017) · The Journal of Cell Biology · doi:10.1083/jcb.201603070 · Cited by 95
Hit and go CAS9 delivered through a lentiviral based self-limiting circuit
Petris, G., Casini, A., Montagna, C., Lorenzin, F., Prandi, D., Romanel, A., Zasso, J., Conti, L., Demichelis, F., & Cereseto, A. (2017) · Nature Communications · doi:10.1038/ncomms15334 · Cited by 98
Improved specificity of TALE-based genome editing using an expanded RVD repertoire
Miller, J. C., Zhang, L., Xia, D. F., Campo, J. J., Ankoudinova, I., Guschin, D. Y., Babiarz, J., Meng, X., Hinkley, S. J., Lam, S. C., et al. (2015) · Nature Methods · doi:10.1038/nmeth.3330 · Cited by 98
Off‐target effects of engineered nucleases
Yee, J. (2016) · FEBS Journal · doi:10.1111/febs.13760 · Cited by 95
Ng, H., & Dean, N. (2017) · mSphere · doi:10.1128/msphere.00385-16 · Cited by 94
Epigenome engineering: new technologies for precision medicine
Sgro, A., & Blancafort, P. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa1000 · Cited by 96
“Within this complementary sequence, the specificity is mainly conferred by the 3′ end of the gRNA, referred to as ‘seed region’, which comprises 10–12 nt upstream of the NGG PAM sequence (170).”
BackgroundPark, S. H., Cao, M., Pan, Y., Davis, T., Saxena, L., Deshmukh, H., Fu, Y., Treangen, T. J., Sheehan, V., & Bao, G. (2022) · Science Advances · doi:10.1126/sciadv.abo7676 · Cited by 92
Self-citationCherepanova, N. A., & Gilmore, R. (2016) · Scientific Reports · doi:10.1038/srep20946 · Cited by 94
CDKN2B Loss Promotes Progression from Benign Melanocytic Nevus to Melanoma
McNeal, A. S., Liu, K., Nakhate, V., Natale, C. A., Duperret, E. K., Capell, B. C., Dentchev, T., Berger, S. L., Herlyn, M., Seykora, J. T., et al. (2015) · Cancer Discovery · doi:10.1158/2159-8290.cd-15-0196 · Cited by 95
CRISPR-Cas9: Tool for Qualitative and Quantitative Plant Genome Editing
Noman, A., Aqeel, M. A., & He, S. (2016) · Frontiers in Plant Science · doi:10.3389/fpls.2016.01740 · Cited by 97
Increasing the efficiency of CRISPR‐Cas9‐VQR precise genome editing in rice
Hu, X., Meng, X., Liu, Q., Li, J., & Wang, K. (2017) · Plant Biotechnology Journal · doi:10.1111/pbi.12771 · Cited by 95
A validated gRNA library for CRISPR/Cas9 targeting of the human glycosyltransferase genome
Narimatsu, Y., Joshi, H. J., Yang, Z., Gomes, C., Chen, Y., Lorenzetti, F. C., Furukawa, S., Schjoldager, K. T.-B. G., Hansen, L. H., Clausen, H., et al. (2017) · Glycobiology · doi:10.1093/glycob/cwx101 · Cited by 93
Kinneer, K., Meekin, J. H., Tiberghien, A. C., Tai, Y., Phipps, S. S., Kiefer, C. M., Rebelatto, M. C., Dimasi, N., Moriarty, A. D., Papadopoulos, K. P., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-1300 · Cited by 92
Lu, B., Javidi-Parsijani, P., Makani, V. S., Mehraein‐Ghomi, F., Sarhan, W. M., Sun, D., Yoo, K. W., Atala, Z., Lyu, P., & Atala, A. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz093 · Cited by 94
Cell-Based Assay Design for High-Content Screening of Drug Candidates
Nierode, G. J., Kwon, P. S., Dordick, J. S., & Kwon, S. (2016) · Journal of Microbiology and Biotechnology · doi:10.4014/jmb.1508.08007 · Cited by 97
Achieving Plant CRISPR Targeting that Limits Off‐Target Effects
Wolt, J. D., Wang, K., Sashital, D. G., & Lawrence‐Dill, C. J. (2016) · The Plant Genome · doi:10.3835/plantgenome2016.05.0047 · Cited by 101
Improvements in algal lipid production: a systems biology and gene editing approach
Banerjee, A., Banerjee, C., Negi, S., Chang, J., & Shukla, P. (2017) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2017.1356803 · Cited by 95
Chemical and Biophysical Modulation of Cas9 for Tunable Genome Engineering
Nuñez, J. K., Harrington, L. B., & Doudna, J. A. (2016) · ACS Chemical Biology · doi:10.1021/acschembio.5b01019 · Cited by 92
Cas9 Cleavage of Viral Genomes Primes the Acquisition of New Immunological Memories
Nussenzweig, P. M., McGinn, J., & Marraffini, L. A. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.09.002 · Cited by 89
Self-citationYuan, S., Natesan, R., Rivera, F. J. S., Li, J., Bhanu, N. V., Yamazoe, T., Lin, J., Merrell, A. J., Sela, Y., Thomas, S. K., et al. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-1299 · Cited by 92
“All sgRNAs were designed using design principles previously reported and were filtered to minimize predicted off-target effects (66).”
MethodChemical 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
Redd, M. A., Scheuer, S. E., Saez, N. J., Yoshikawa, Y., Chiu, H. S., Gao, L., Hicks, M., Villanueva, J. E., Joshi, Y., Chow, C. Y., et al. (2021) · Circulation · doi:10.1161/circulationaha.121.054360 · Cited by 95
Villa, C. E., Cheroni, C., Dotter, C. P., López-Tóbon, A., Oliveira, B., Sacco, R., Yahya, A. Ç., Morandell, J., Gabriele, M., Tavakoli, M. R., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110615 · Cited by 92
CRISPR/Cas systems: Delivery and application in gene therapy
Huang, J., Zhou, Y., Li, J., Lü, A., & Liang, C. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.942325 · Cited by 102
“proposed that reducing the content of Cas9 protein in the system could significantly reduce the off-target effect, but it would also lead to low efficiency of targeted cutting (Hsu et al., 2013).”
BackgroundBRD8 maintains glioblastoma by epigenetic reprogramming of the p53 network
Sun, X. S., Klingbeil, O., Lu, B., Wu, C., Ballon, C., Ouyang, M., Wu, X., Jin, Y., Hwangbo, Y., Huang, Y., et al. (2022) · Nature · doi:10.1038/s41586-022-05551-x · Cited by 96
Self-citationDiscovery 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
“Following the precedent of the successful use of guide optimization 19,22,46,131 and protein engineering 132,133 to improve genome editing with Cas9, several groups engineered both the guide and the protein to substantially boost the indel activity of multiple Cas12f variants.”
MethodLing, S., Zhang, X., Dai, Y., Jiang, Z., Zhou, X., Lu, S., Qian, X., Liu, J., Selfjord, N., Şatır, T. M., et al. (2025) · Nature Nanotechnology · doi:10.1038/s41565-024-01851-7 · Cited by 98
Yusa, K. (2013) · Nature Protocols · doi:10.1038/nprot.2013.126 · Cited by 91
A CRISPR/Cas-Mediated Selection-free Knockin Strategy in Human Embryonic Stem Cells
Zhu, Z., Verma, N., Gonzãlez, F., Shi, Z., & Huangfu, D. (2015) · Stem Cell Reports · doi:10.1016/j.stemcr.2015.04.016 · Cited by 91
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
BATCH-GE: Batch analysis of Next-Generation Sequencing data for genome editing assessment
Boel, A., Steyaert, W., Rocker, N. D., Menten, B., Callewaert, B. L., Paepe, A. D., Coucke, P. J., & Willaert, A. (2016) · Scientific Reports · doi:10.1038/srep30330 · Cited by 88
The native TRPP2-dependent channel of murine renal primary cilia
Kleene, S. J., & Kleene, N. K. (2016) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00272.2016 · Cited by 93
Kostyushev, D. S., Brezgin, S., Kostyusheva, A., Zarifyan, D., Goptar, I. A., & Chulanov, V. (2019) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-019-03021-8 · Cited by 90
CRISPR-Cas9 System for Plant Genome Editing: Current Approaches and Emerging Developments
Montecillo, J. A. V., Chu, L. L., & Bae, H. (2020) · Agronomy · doi:10.3390/agronomy10071033 · Cited by 99
“However, the presence of mismatches at the 5′ end of the sgRNA-DNA paired region is better tolerated than at the end near the PAM [75,76].”
BackgroundA robust platform for expansion and genome editing of primary human natural killer cells
Huang, R., Lai, M., Shih, H.-A., & Lin, S. (2020) · The Journal of Experimental Medicine · doi:10.1084/jem.20201529 · Cited by 86
Dubrot, J., Lane-Reticker, S. K., Kessler, E., Ayer, A., Mishra, G., Wolfe, C. H., Zimmer, M. D., Du, P. P., Mahapatra, A., Ockerman, K. M., et al. (2021) · Immunity · doi:10.1016/j.immuni.2021.01.001 · Cited by 87
CRISPR/Cas9 Landscape: Current State and Future Perspectives
Tyumentsev, A. I., Tyumentsev, A. I., & Акимкин, В. Г. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242216077 · Cited by 98
“This off-target effect has been extensively analyzed by various in vitro and in vivo approaches [18–20], and the criteria for specificity of the SpyCas9 system can be described as follows: (1) In most cases, the system cannot recognize a DNA site carrying more than three mismatches; (2) the…”
Background
Metadata
- Authors
- 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., Cradick, T. J., Marraffini, L. A., Bao, G., & Zhang, F.
- Affiliations
- Broad Institute (US)
- Georgia Institute of Technology (US)
- Koch Institute for Integrative Cancer Research At MIT (US)
- Rockefeller University (US)
- Corresponding author
- Zhang, Feng
- ORCID
- Venue
- Nature Biotechnology
- Published
- 2013-07-21
- Volume
- 31
- Issue
- 9
- Pages
- 827-832
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- PMC
- PMC3969858
- OpenAlex
- W2036176224
- Cited by
- 4,741
- References
- 29
- Citations by year
- 2026: 242 · 2025: 300 · 2024: 304 · 2023: 331 · 2022: 372 · 2021: 424 · 2020: 416 · 2019: 422 · 2018: 463 · 2017: 438 · 2016: 402 · 2015: 297 · 2014: 269 · 2013: 53
- FWCI
- 152.56
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion)
- PMC
- Funders
- National Science Foundation
- Howard Hughes Medical Institute
- Damon Runyon Cancer Research Foundation
- McKnight Foundation
- Life Sciences Research Foundation
- National Institutes of Health (R01‐grant, GM34277)
- Harvard Stem Cell Institute
- National Institute of Mental Health (DP1MH100706)
- National Eye Institute (PN2EY018244)
- National Cancer Institute (R01CA133404)
- National Institute of General Medical Sciences (R01GM034277, R01 GM34277, T32GM007753)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK097768)
- National Center for Chronic Disease Prevention and Health Promotion (DP1‑MH100706)
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Keywords
- SpCas9, single guide RNA, genome editing, off-target effects, mismatch tolerance, DNA methylation, indel mutations, guide RNA design, target site selection, HEK293T cells, web-based design tool
- MeSH terms
- Bacterial Proteins, Base Sequence, Deoxyribonucleases, DNA, Genetic Engineering, Molecular Sequence Data, Streptococcus pyogenes, Transcription Factors, Base Pair Mismatch, RNA, Small Untranslated
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