Cas-OFFinder: A fast and versatile algorithm that searches for potential off-target sites of Cas9 RNA-guided endonucleases
Open accessAbstract
SUMMARY: The Type II clustered regularly interspaced short palindromic repeats (CRISPR)/Cas system is an adaptive immune response in prokaryotes, protecting host cells against invading phages or plasmids by cleaving these foreign DNA species in a targeted manner. CRISPR/Cas-derived RNA-guided engineered nucleases (RGENs) enable genome editing in cultured cells, animals and plants, but are limited by off-target mutations. Here, we present a novel algorithm termed Cas-OFFinder that searches for potential off-target sites in a given genome or user-defined sequences. Unlike other algorithms currently available for identification of RGEN off-target sites, Cas-OFFinder is not limited by the number of mismatches and allows variations in protospacer-adjacent motif sequences recognized by Cas9, the essential protein component in RGENs. Cas-OFFinder is available as a command-line program or accessible via our website. AVAILABILITY AND IMPLEMENTATION: Cas-OFFinder free access at http://www.rgenome.net/cas-offinder. CONTACT: baesau@snu.ac.kr or jskim01@snu.ac.kr.
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
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?
Cas-OFFinder is more widely applicated due to its high tolerance of sgRNA length, PAM types, and the number of mismatches or bulges.
“Cas-OFFinder is more widely applicated due to its high tolerance of sgRNA length, PAM types, and the number of mismatches or bulges (Bae et al., 2014).”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as Bae et al., 2014
The Results and Discussion section reports searches using 20-bp and 24-bp guide-matching sequences and different PAMs; its conclusion says Cas-OFFinder does not limit the number of mismatched bases. The Methods section describes counting mismatches, but no passage establishes that the tool tolerates bulges. That part of the claim is unsupported by this copy. (LLM, conf=0.87)
Experimental — accuracy not yet measuredPotential sgRNA-specific off-target events were predicted using the Cas-OFFinder open recourse tool.
“Potential sgRNA-specific off-target events were predicted using the Cas-OFFinder open recourse tool76.”
From One-step generation of tumor models by base editor multiplexing in adult stem cell-derived organoids (2023) · cites this paper as [76]
The off-target analysis found no genomic locations among the predicted CRISPR off-targets that carried variants in the K27M-P T RNA-seq sample but not in the Trp53+/+ controls (EV-ctl and EV-PDGFRA).
“We found that none of the potential off-target genomic locations harbored variants in K27M-P T RNA-seq sample that were not also found in the Trp53+/+ control samples (EV-ctl and EV-PDGFRA).”
From H3.3K27M Cooperates with Trp53 Loss and PDGFRA Gain in Mouse Embryonic Neural Progenitor Cells to Induce Invasive High-Grade Gliomas (2017) · cites this paper as Bae et al., 2014
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849 · see citing works
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 · see citing works
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
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 · 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
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 · see citing works
A 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 · see citing works
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 · see citing works
Targeted genome engineering in human cells with the Cas9 RNA-guided endonuclease
Cho, S. W., Kim, S., Kim, J. M., & Kim, J.-S. (2013) · Nature Biotechnology · doi:10.1038/nbt.2507 · Cited by 1,863 · see citing works
Self-citationAnalysis of off-target effects of CRISPR/Cas-derived RNA-guided endonucleases and nickases
Cho, S. W., Kim, S., Kim, Y., Kweon, J., Kim, H. S., Bae, S., & Kim, J.-S. (2014) · Genome Research · doi:10.1101/gr.162339.113 · Cited by 1,356 · see citing works
Self-citationEnhancing Gene Targeting with Designed Zinc Finger Nucleases
Bibikova, M. V., Beumer, K. J., Trautman, J. K., & Carroll, D. (2003) · Science · doi:10.1126/science.1079512 · Cited by 824 · see citing works
Hou, Z., Zhang, Y., Propson, N. E., Howden, S. E., Chu, L.-F., Sontheimer, E. J., & Thomson, J. A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1313587110 · Cited by 681 · see citing works
Targeted genome editing in human cells with zinc finger nucleases constructed via modular assembly
Kim, H. J., Lee, H. J., Kim, H., Cho, S. W., & Kim, J.-S. (2009) · Genome Research · doi:10.1101/gr.089417.108 · Cited by 466 · see citing works
Self-citationA library of TAL effector nucleases spanning the human genome
Kim, Y., Kweon, J., Kim, A., Chon, J. K., Yoo, J. Y., Kim, H. J., Kim, S., Lee, C., Jeong, E., Chung, E., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2517 · Cited by 371 · see citing works
Self-citationCUSHAW: a CUDA compatible short read aligner to large genomes based on the Burrows–Wheeler transform
Liu, Y., Schmidt, B., & Maskell, D. L. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts276 · Cited by 162 · see citing works
Indexing Strategies for Rapid Searches of Short Words in Genome Sequences
Iseli, C., Ambrosini, G., Bücher, P., & Jongeneel, C. V. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000579 · Cited by 76 · see citing works
ZFN-Site searches genomes for zinc finger nuclease target sites and off-target sites
Cradick, T. J., Ambrosini, G., Iseli, C., Bücher, P., & McCaffrey, A. P. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-152 · Cited by 50 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9
Doench, J. G., Fusi, N., Sullender, M., Hegde, M., Vaimberg, E. W., Donovan, K. F., Smith, I., Tothova, Z., Wilen, C., Orchard, R., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3437 · Cited by 4,637 · 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
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
Haeussler, M., Schönig, K., Eckert, H., Eschstruth, A., Mianné, J., Renaud, J.-B., Schneider-Maunoury, S., Shkumatava, A., Teboul, L., Kent, J., et al. (2016) · Genome biology · doi:10.1186/s13059-016-1012-2 · Cited by 1,756 · see citing works
Kim, S., Kim, D., Cho, S. W., Kim, J., & Kim, J.-S. (2014) · Genome Research · doi:10.1101/gr.171322.113 · Cited by 1,856 · see citing works
Self-citationCRISPR-Cas9 In Vivo Gene Editing for Transthyretin Amyloidosis
Gillmore, J. D., Gane, E., Taubel, J., Kao, J., Fontana, M., Maitland, M. L., Seitzer, J., O’Connell, D., Walsh, K. R., Wood, K., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2107454 · Cited by 1,766 · 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
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
DNA-free genome editing in plants with preassembled CRISPR-Cas9 ribonucleoproteins
Woo, J. W., Kim, J., Kwon, S. I., Corvalán, C., Cho, S. W., Kim, H., Kim, S.-G., Kim, S.-T., Choe, S., & Kim, J.-S. (2015) · Nature Biotechnology · doi:10.1038/nbt.3389 · Cited by 1,219 · see citing works
Self-citationIn vivo genome editing improves muscle function in a mouse model of Duchenne muscular dystrophy
Nelson, C. E., Hakim, C. H., Ousterout, D. G., Thakore, P. I., Moreb, E. A., Rivera, R. M. C., Madhavan, S., Pan, X., Ran, F. A., Yan, W. X., et al. (2016) · Science · doi:10.1126/science.aad5143 · Cited by 1,144 · see citing works
Digenome-seq: Genome-wide profiling of CRISPR-cas9 off-target effects in human cells
Kim, D., Bae, S., Park, J., Kim, E., Kim, S., Yu, H. R., Hwang, J., Kim, J.-I., & Kim, J.-S. (2015) · Nature Methods · doi:10.1038/nmeth.3284 · Cited by 992 · see citing works
Self-citationCorrection of a pathogenic gene mutation in human embryos
Ma, H., Marti-Gutierrez, N., Park, S.-W., Wu, J., Lee, Y., Suzuki, K., Koski, A., Ji, D., Hayama, T., Ahmed, R., et al. (2017) · Nature · doi:10.1038/nature23305 · Cited by 969 · see citing works
Self-citationCytosine base editor generates substantial off-target single-nucleotide variants in mouse embryos
Zuo, E., Sun, Y., Wei, W., Yuan, T., Ying, W., Sun, H., Yuan, L., Steinmetz, L. M., Li, Y., & Yang, H. (2019) · Science · doi:10.1126/science.aav9973 · Cited by 782 · see citing works
In vivo CRISPR base editing of PCSK9 durably lowers cholesterol in primates
Musunuru, K., Chadwick, A. C., Mizoguchi, T., Garcia, S. P., DeNizio, J. E., Reiss, C. W., Wang, K., Iyer, S., Dutta, C., Clendaniel, V., et al. (2021) · Nature · doi:10.1038/s41586-021-03534-y · Cited by 793 · see citing works
In vivo genome editing with a small Cas9 orthologue derived from Campylobacter jejuni
Kim, E., Koo, T., Park, S. W., Kim, D., Kim, K., Cho, H.-Y., Song, D. W., Lee, K. J., Jung, M. H., Kim, S., et al. (2017) · Nature Communications · doi:10.1038/ncomms14500 · Cited by 715 · see citing works
Self-citationDevelopment of a gene-editing approach to restore vision loss in Leber congenital amaurosis type 10
Maeder, M. L., Stefanidakis, M., Wilson, C. J., Baral, R., Barrera, L. A., Bounoutas, G. S., Bumcrot, D., Chao, H., Ciulla, D. M., DaSilva, J. A., et al. (2019) · Nature Medicine · doi:10.1038/s41591-018-0327-9 · Cited by 707 · see citing works
Cytosine, but not adenine, base editors induce genome-wide off-target mutations in rice
Jin, S., Zong, Y., Gao, Q., Zhu, Z., Wang, Y., Qin, P., Liang, C., Wang, D., Qiu, J.-L., Zhang, F., et al. (2019) · Science · doi:10.1126/science.aaw7166 · Cited by 665 · see citing works
DeepCRISPR: Optimized CRISPR guide RNA design by deep learning
Chuai, G., Ma, H., Yan, J., Chen, M., Hong, N., Xue, D., Zhou, C., Zhu, C., Chen, K., Duan, B., et al. (2018) · Genome biology · doi:10.1186/s13059-018-1459-4 · Cited by 641 · 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
“Cas-OFFinder is more widely applicated due to its high tolerance of sgRNA length, PAM types, and the number of mismatches or bulges (Bae et al., 2014).”
BackgroundTargeted Disruption of HLA Genes via CRISPR-Cas9 Generates iPSCs with Enhanced Immune Compatibility
Xu, H., Wang, B., Ono, M., Kagita, A., Fujii, K., Sasakawa, N., Ueda, T., Gee, P., Nishikawa, M., Nomura, M., et al. (2019) · Cell stem cell · doi:10.1016/j.stem.2019.02.005 · Cited by 581 · 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
Mapping the genomic landscape of CRISPR-Cas9 cleavage
Cameron, P., Fuller, C. K., Donohoue, P. D., Jones, B. N., Thompson, M. S., Carter, M. M., Gradia, S., Vidal, B., Garner, E., Slorach, E. M., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4284 · Cited by 443 · 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
BLISS 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
Prediction of off-target activities for the end-to-end design of CRISPR guide RNAs
Listgarten, J., Weinstein, M., Kleinstiver, B. P., Sousa, A. A., Joung, J. K., Crawford, J., Gao, K., Hoang, L., Elibol, M., Doench, J. G., et al. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0178-6 · Cited by 336 · see citing works
Asprosin is a centrally acting orexigenic hormone
Duerrschmid, C., He, Y., Wang, C., Li, C., Bournat, J. C., Romere, C., Saha, P. K., Lee, M. E., Phillips, K. J., Jain, M., et al. (2017) · Nature Medicine · doi:10.1038/nm.4432 · Cited by 357 · see citing works
CRISPR-mediated activation of a promoter or enhancer rescues obesity caused by haploinsufficiency
Matharu, N., Rattanasopha, S., Tamura, S., Maliskova, L., Wang, Y., Bernard, A., Hardin, A., Eckalbar, W. L., Vaisse, C., & Ahituv, N. (2019) · Science · doi:10.1126/science.aau0629 · Cited by 323 · see citing works
Astrocytic interleukin-3 programs microglia and limits Alzheimer’s disease
McAlpine, C. S., Park, J., Griciuc, A., Kim, E., Choi, S. H., Iwamoto, Y., Kiss, M. G., Christie, K. A., Vinegoni, C., Poller, W. C., et al. (2021) · Nature · doi:10.1038/s41586-021-03734-6 · Cited by 322 · see citing works
Self-citationPathania, M., De Jay, N., Maestro, N., Harutyunyan, A. S., Nitarska, J., Pahlavan, P., Henderson, S., Mikael, L. G., Richard-Londt, A., Zhang, Y., et al. (2017) · Cancer Cell · doi:10.1016/j.ccell.2017.09.014 · Cited by 264 · see citing works
Subburaj, S., Chung, S. J., Lee, C., Ryu, S.-M., Kim, D. H., Kim, J.-S., Bae, S., & Lee, G.-J. (2016) · Plant Cell Reports · doi:10.1007/s00299-016-1937-7 · Cited by 237 · see citing works
Self-citationCas9-chromatin binding information enables more accurate CRISPR off-target prediction
Singh, R., Kuscu, C., Quinlan, A., Qi, Y., & Adli, M. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv575 · Cited by 217 · see citing works
CRISPR-Based Adenine Editors Correct Nonsense Mutations in a Cystic Fibrosis Organoid Biobank
Geurts, M. H., de Poel, E., Amatngalim, G. D., Oka, R., Meijers, F. M., Kruisselbrink, E., van Mourik, P., Berkers, G., de Winter-de Groot, K. M., Michel, S., et al. (2020) · Cell Stem Cell · doi:10.1016/j.stem.2020.01.019 · Cited by 222 · see citing works
Structural basis for Cas9 off-target activity
Pacesa, M., Lin, C.-H., Cléry, A., Saha, A., Arantes, P. R., Bargsten, K., Irby, M. J., Allain, F. H.-T., Palermo, G., Cameron, P., et al. (2022) · Cell · doi:10.1016/j.cell.2022.09.026 · Cited by 198 · see citing works
Genome-wide target specificities of CRISPR-Cas9 nucleases revealed by multiplex Digenome-seq
Kim, D., Kim, S., Kim, S., Park, J., & Kim, J.-S. (2016) · Genome Research · doi:10.1101/gr.199588.115 · Cited by 208 · see citing works
Self-citationCRISPR prime editing with ribonucleoprotein complexes in zebrafish and primary human cells
Petri, K., Zhang, W., Ma, J., Schmidts, A., Lee, H., Horng, J. E., Kim, D. Y., Kurt, I. C., Clement, K., Hsu, J. Y., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-021-00901-y · Cited by 208 · see citing works
Engineering a precise adenine base editor with minimal bystander editing
Chen, L., Zhang, S., Xue, N., Hong, M., Zhang, X., Zhang, D., Yang, J., Bai, S., Huang, Y., Meng, H., et al. (2023) · Nature Chemical Biology · doi:10.1038/s41589-022-01163-8 · Cited by 202 · see citing works
Web-based design and analysis tools for CRISPR base editing
Hwang, G.-H., Park, J., Lim, K., Kim, S., Yu, J., Yu, E., Kim, S.-T., Eils, R., Kim, J.-S., & Bae, S. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2585-4 · Cited by 198 · see citing works
Self-citationLoss of SATB1 Induces p21-Dependent Cellular Senescence in Post-mitotic Dopaminergic Neurons
Riessland, M., Kolisnyk, B., Kim, T. W., Cheng, J., Ni, J., Pearson, J. A., Park, E. J., Dam, K., Acehan, D., Ramos-Espiritu, L. S., et al. (2019) · Cell Stem Cell · doi:10.1016/j.stem.2019.08.013 · Cited by 180 · see citing works
Hakim, C. H., Kumar, S. R. P., Pérez-López, D. O., Wasala, N. B., Zhang, D., Yue, Y., Teixeira, J., Pan, X., Zhang, K., Million, E. D., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-26830-7 · Cited by 175 · 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
Self-citationIn vivo genome editing improves motor function and extends survival in a mouse model of ALS
Gaj, T., Ojala, D. S., Ekman, F. K., Byrne, L. C., Limsirichai, P., & Schaffer, D. V. (2017) · Science Advances · doi:10.1126/sciadv.aar3952 · Cited by 185 · see citing works
Shin, Y. S., Jeong, J., Nguyen, T. H. T., Kim, J. Y. H., Jin, E., & Sim, S. J. (2019) · Bioresource Technology · doi:10.1016/j.biortech.2018.09.121 · Cited by 179 · see citing works
Self-citationPark, C.-Y., Halevy, T., Lee, D. R., Sung, J. J., Lee, J. S., Yanuka, O., Benvenisty, N., & Kim, D.-W. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.08.084 · Cited by 178 · 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
Chen, L., Zhu, B., Ru, G., Meng, H., Yan, Y., Hong, M., Zhang, D., Luan, C., Zhang, S., Wu, H., et al. (2023) · Nature Biotechnology · doi:10.1038/s41587-022-01532-7 · Cited by 156 · see citing works
Improved plant cytosine base editors with high editing activity, purity, and specificity
Ren, Q., Sretenovic, S., Liu, G., Zhong, Z., Wang, J., Huang, L., Tang, X., Guo, Y., Liu, L., Wu, Y., et al. (2021) · Plant Biotechnology Journal · doi:10.1111/pbi.13635 · Cited by 131 · see citing works
Tools for experimental and computational analyses of off-target editing by programmable nucleases
Bao, X. R., Pan, Y., Lee, C. M., Davis, T. H., & Bao, G. (2021) · Nature Protocols · doi:10.1038/s41596-020-00431-y · Cited by 106 · see citing works
The lipid elongation enzyme ELOVL2 is a molecular regulator of aging in the retina
Chen, D., Chao, D. L., Rocha, L., Kolar, M., Nguyen Huu, V. A., Krawczyk, M., Dasyani, M., Wang, T., Jafari, M., Jabari, M., et al. (2020) · Aging Cell · doi:10.1111/acel.13100 · Cited by 109 · see citing works
Lin, J., Zhang, Z., Zhang, S., Chen, J., & Wong, K. (2020) · Advanced Science · doi:10.1002/advs.201903562 · Cited by 101 · see citing works
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 · see citing works
“net/cas-offinder/) [18], the Feng Zhang lab’s Target Finder (available online: http://crispr.”
BackgroundMcCullough, K. T., Boye, S. L., Fajardo, D., Calabro, K., Peterson, J. J., Strang, C. E., Chakraborty, D., Gloskowski, S., Haskett, S., Samuelsson, S., et al. (2019) · Human Gene Therapy · doi:10.1089/hum.2018.193 · Cited by 79 · see citing works
Genetic Variation and Unintended Risk in the Context of Old and New Breeding Techniques
Singer, S. D., Laurie, J. D., Bilichak, A., Kumar, S., & Singh, J. (2021) · Critical Reviews in Plant Sciences · doi:10.1080/07352689.2021.1883826 · Cited by 77 · see citing works
Lactation improves pancreatic β cell mass and function through serotonin production
Moon, J. H., Kim, H., Kim, H., Park, J., Choi, W., Choi, W., Hong, H. J., Ro, H.-J., Jun, S., Choi, S. H., et al. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aay0455 · Cited by 67 · see citing works
Self-citationOne-step generation of tumor models by base editor multiplexing in adult stem cell-derived organoids
Geurts, M. H., Gandhi, S., Boretto, M. G., Akkerman, N., Derks, L. L. M., van Son, G., Celotti, M., Harshuk-Shabso, S., Peci, F., Begthel, H., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-40701-3 · Cited by 66 · see citing works
“Potential sgRNA-speci fi c off-target events were predicted using the Cas-OFFinder open recourse tool 76 .”
Detect-seq reveals out-of-protospacer editing and target-strand editing by cytosine base editors
Lei, Z., Meng, H., Lv, Z., Liu, M., Zhao, H., Wu, H., Zhang, X., Liu, L., Zhuang, Y., Yin, K., et al. (2021) · Nature Methods · doi:10.1038/s41592-021-01172-w · Cited by 67 · see citing works
Jo, D. H., Koo, T., Cho, C. S., Kim, J. H., Kim, J.-S., & Kim, J. H. (2019) · Molecular Therapy · doi:10.1016/j.ymthe.2018.10.009 · Cited by 57 · see citing works
Self-citationWu, Y., Ren, Q., Zhong, Z., Liu, G., Han, Y., Bao, Y., Liu, L., Xiang, S., Liu, S., Tang, X., et al. (2022) · Plant Biotechnology Journal · doi:10.1111/pbi.13838 · Cited by 56 · see citing works
Yuan, T., Yan, N., Fei, T., Zheng, J., Meng, J., Li, N., Liu, J., Zhang, H., Xie, L., Ying, W., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-25217-y · Cited by 55 · see citing works
High-efficiency base editing in the retina in primates and human tissues
Muller, A., Sullivan, J., Schwarzer, W., Wang, M., Park-Windhol, C., Hasler, P. W., Janeschitz-Kriegl, L., Duman, M., Klingler, B., Matsell, J., et al. (2025) · Nature Medicine · doi:10.1038/s41591-024-03422-8 · Cited by 52 · see citing works
Jacquin, A. L. S., Odom, D. T., & Lukk, M. (2019) · Bioinformatics · doi:10.1093/bioinformatics/btz019 · Cited by 46 · see citing works
Cromer, M. K., Majeti, K. R., Rettig, G. R., Murugan, K., Kurgan, G. L., Bode, N. M., Hampton, J. P., Vakulskas, C. A., Behlke, M. A., & Porteus, M. H. (2023) · Molecular Therapy · doi:10.1016/j.ymthe.2023.02.011 · Cited by 42 · see citing works
A toolbox to engineer the highly productive cyanobacterium <i>Synechococcus</i> sp. PCC 11901
Victoria, A. J., Selão, T. T., Moreno-Cabezuelo, J. Á., Mills, L. A., Gale, G. A. R., Lea-Smith, D. J., & McCormick, A. J. (2024) · Plant Physiology · doi:10.1093/plphys/kiae261 · Cited by 28 · see citing works
Tran, K. M., Kwang, N. E., Butler, C. A., Gomez-Arboledas, A., Kawauchi, S., Mar, C., Chao, D., Barahona, R. A., Da Cunha, C., Tsourmas, K. I., et al. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00793-x · Cited by 28 · see citing works
Kwon, J., Kim, M., Hwang, W., Jo, A., Hwang, G.-H., Jung, M., Kim, U. G., Cui, G., Kim, H., Eom, J.-H., et al. (2023) · Genome biology · doi:10.1186/s13059-022-02842-4 · Cited by 24 · see citing works
Self-citationGarrigues, S., Peng, M., Kun, R. S., & de Vries, R. P. (2023) · mBio · doi:10.1128/mbio.00668-23 · Cited by 22 · see citing works
Learning to quantify uncertainty in off-target activity for CRISPR guide RNAs
Özden, F., & Minary, P. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae759 · Cited by 21 · see citing works
Yaish, O., Asif, M., & Orenstein, Y. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac157 · Cited by 19 · see citing works
Development of a base editor for convenient and multiplex genome editing in cyanobacteria
Li, X.-D., Liu, L.-M., Xi, Y.-C., Sun, Q.-W., Luo, Z., Huang, H.-L., Wang, X.-W., Jiang, H.-B., & Chen, W. (2024) · Communications Biology · doi:10.1038/s42003-024-06696-3 · Cited by 14 · see citing works
Chromatin structure and context-dependent sequence features control prime editing efficiency
Kim, S., Yuan, J. B., Woods, W. S., Newton, D. A., Perez-Pinera, P., & Song, J. S. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1222112 · Cited by 12 · see citing works
Siles, L., & Pomares, E. (2025) · Molecular Therapy Nucleic Acids · doi:10.1016/j.omtn.2025.102482 · Cited by 4 · see citing works
- Authors
- Bae, S., Park, J., & Kim, J.-S.
- Affiliations
- Seoul National University (KR)
- Corresponding author
- Bae, Sangsu
- Kim, Jin-Soo
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-01-24
- Volume
- 30
- Issue
- 10
- Pages
- 1473-1475
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- PMC
- PMC4016707
- OpenAlex
- W2115603949
- Cited by
- 2,339
- References
- 17
- Citations by year
- 2026: 229 · 2025: 275 · 2024: 266 · 2023: 296 · 2022: 266 · 2021: 264 · 2020: 224 · 2019: 174 · 2018: 130 · 2017: 79 · 2016: 64 · 2015: 45 · 2014: 25
- FWCI
- 29.09
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Bioinformatics (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Seoul National University Open Repository (Seoul National University) (submittedVersion)
- Funders
- National Research Foundation
- National Research Foundation of Korea
- 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 › Genomics and Phylogenetic Studies
- Keywords
- Cas9, CRISPR/Cas9, RNA-guided nucleases, genome editing, protospacer adjacent motif, mismatch tolerance
- MeSH terms
- CRISPR-Associated Protein 9, Algorithms, Animals, Bacterial Proteins, Base Sequence, DNA, Endonucleases, Humans, Software, Time Factors, Genome, Human, Sequence Analysis, DNA, Genome, Plant, Mice, RNA, Small Untranslated
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