The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
CRISPR/Cas Systems in Genome Editing: Methodologies and Tools for sgRNA Design, Off‐Target Evaluation, and Strategies to Mitigate Off‐Target Effects
Abstract
Life sciences have been revolutionized by genome editing (GE) tools, including zinc finger nucleases, transcription activator‐Like effector nucleases, and CRISPR (clustered regulatory interspaced short palindromic repeats)/Cas (CRISPR‐associated) systems, which make the targeted modification of genomic DNA of all organisms possible. CRISPR/Cas systems are being widely used because of their accuracy, efficiency, and cost‐effectiveness. Various classes of CRISPR/Cas systems have been developed, but their extensive use may be hindered by off‐target effects. Efforts are being made to reduce the off‐target effects of CRISPR/Cas9 by generating various CRISPR/Cas systems with high fidelity and accuracy. Several approaches have been applied to detect and evaluate the off‐target effects. Here, the current GE tools, the off‐target effects generated by GE technology, types of off‐target effects, mechanisms of off‐target effects, major concerns, and outcomes of off‐target effects in plants and animals are summarized. The methods to detect off‐target effects, tools for single‐guide RNA (sgRNA) design, evaluation and prediction of off‐target effects, and strategies to increase the on‐target efficiency and mitigate the off‐target impact on intended genome‐editing outcomes are summarized.
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In the citing paper
“Generally speaking, studies revealed that GC content of between 40% and 60%, truncated (short length of sgRNA), and incorporation of 2ʹ-O-methyl-3ʹ-phosphonoacetate in the sgRNA ribose-phosphate backbone are the preferred methods to increase genome editing efficiency of CRISPR/Cas-9.67,68”
From Mechanism and Applications of CRISPR/Cas-9-Mediated Genome Editing (2021) · cites this paper as [67]
Experimental — accuracy not yet measuredIn the citing paper
“Generally speaking, studies revealed that GC content of between 40% and 60%, truncated (short length of sgRNA), and incorporation of 2ʹ-O-methyl-3ʹ-phosphonoacetate in the sgRNA ribose-phosphate backbone are the preferred methods to increase genome editing efficiency of CRISPR/Cas-9.67,68”
From Mechanism and Applications of CRISPR/Cas-9-Mediated Genome Editing (2021) · cites this paper as [67]
In the citing paper
“Generally speaking, studies revealed that GC content of between 40% and 60%, truncated (short length of sgRNA), and incorporation of 2ʹ-O-methyl-3ʹ-phosphonoacetate in the sgRNA ribose-phosphate backbone are the preferred methods to increase genome editing efficiency of CRISPR/Cas-9.67,68”
From Mechanism and Applications of CRISPR/Cas-9-Mediated Genome Editing (2021) · cites this paper as [67]
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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
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
Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage
Komor, A. C., Kim, Y. B., Packer, M. S., Zuris, J. A., & Liu, D. R. (2016) · Nature · doi:10.1038/nature17946 · Cited by 5,437
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
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
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
Programmable base editing of A•T to G•C in genomic DNA without DNA cleavage
Gaudelli, N. M., Komor, A. C., Rees, H. A., Packer, M. S., Badran, A. H., Bryson, D. I., & Liu, D. R. (2017) · Nature · doi:10.1038/nature24644 · Cited by 4,184
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
Efficient 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
Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex
Konermann, S., Brigham, M. D., Trevino, A. E., Joung, J., Abudayyeh, O. O., Barcena, C., Hsu, P. D., Habib, N., Gootenberg, J. S., Nishimasu, H., et al. (2015) · Nature · doi:10.1038/nature14136 · Cited by 2,825
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
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
Rationally engineered Cas9 nucleases with improved specificity
Slaymaker, I. M., Gao, L., Zetsche, B., Scott, D. A., Yan, W. X., & Zhang, F. (2016) · Science · doi:10.1126/science.aad5227 · Cited by 2,414
Crystal structure of Cas9 in complex with guide RNA and target DNA
Nishimasu, H., Ran, F. A., Hsu, P. D., Konermann, S., Shehata, S. I., Dohmae, N., Ishitani, R., Zhang, F., & Nureki, O. (2014) · Cell · doi:10.1016/j.cell.2014.02.001 · Cited by 2,306
GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases
Tsai, S. Q., Zheng, Z., Nguyen, N. T., Liebers, M., Topkar, V. V., Thapar, V., Wyvekens, N., Khayter, C., Iafrate, A. J., Le, L. P., et al. (2015) · Nature Biotechnology · doi:10.1038/nbt.3117 · Cited by 2,268
Improving CRISPR-Cas nuclease specificity using truncated guide RNAs
Fu, Y., Sander, J. D., Reyon, D., Cascio, V. M., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2808 · Cited by 1,993
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
Mali, P., Aach, J., Stranges, P. B., Esvelt, K. M., Moosburner, M., Kosuri, S., Yang, L., & Church, G. M. (2013) · Nature Biotechnology · doi:10.1038/nbt.2675 · Cited by 1,752
Evolved Cas9 variants with broad PAM compatibility and high DNA specificity
Hu, J. H., Miller, S. M., Geurts, M. H., Tang, W., Chen, L., Sun, N., Zeina, C. M., Gao, X., Rees, H. A., Lin, Z., et al. (2018) · Nature · doi:10.1038/nature26155 · Cited by 1,552
Off-target Effects in CRISPR/Cas9-mediated Genome Engineering
Zhang, X.-H., Tee, L. Y., Wang, X.-G., Huang, Q.-S., & Yang, S.-H. (2015) · Molecular Therapy - Nucleic Acids · doi:10.1038/mtna.2015.37 · Cited by 1,273
Self-citationStructures of Cas9 endonucleases reveal RNA-mediated conformational activation
Jinek, M., Jiang, F., Taylor, D. W., Sternberg, S. H., Kaya, E., Ma, E., Anders, C., Hauer, M., Zhou, K., Lin, S., et al. (2014) · Science · doi:10.1126/science.1247997 · Cited by 1,230
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
Engineered CRISPR-Cas9 nuclease with expanded targeting space
Nishimasu, H., Shi, X., Ishiguro, S., Gao, L., Hirano, S., Okazaki, S., Noda, T., Abudayyeh, O. O., Gootenberg, J. S., Mori, H., et al. (2018) · Science · doi:10.1126/science.aas9129 · Cited by 1,100
CCTop: An intuitive, flexible and reliable CRISPR/Cas9 target prediction tool
Stemmer, M., Thumberger, T., del Sol Keyer, M., Wittbrodt, J., & Mateo, J. L. (2015) · PLoS ONE · doi:10.1371/journal.pone.0124633 · Cited by 1,088
CIRCLE-Seq: A highly sensitive in vitro screen for genome-wide CRISPR-cas9 nuclease off-targets
Tsai, S. Q., Nguyen, N. T., Malagon-Lopez, J., Topkar, V. V., Aryee, M. J., & Joung, J. K. (2017) · Nature Methods · doi:10.1038/nmeth.4278 · Cited by 814
Cytosine 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
Genome-wide detection of DNA double-stranded breaks induced by engineered nucleases
Frock, R. L., Hu, J., Meyers, R. M., Ho, Y.-J., Kii, E., & Alt, F. W. (2015) · Nature Biotechnology · doi:10.1038/nbt.3101 · Cited by 673
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
Transcriptome-wide off-target RNA editing induced by CRISPR-guided DNA base editors
Grünewald, J., Zhou, R., Garcia, S. P., Iyer, S., Lareau, C. A., Aryee, M. J., & Joung, J. K. (2019) · Nature · doi:10.1038/s41586-019-1161-z · Cited by 663
Lin, Y., Cradick, T. J., Brown, M. T., Deshmukh, H., Ranjan, P., Sarode, N., Wile, B. M., Vertino, P. M., Stewart, F. J., & Bao, G. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku402 · Cited by 634
A highly specific SpCas9 variant is identified by in vivo screening in yeast
Casini, A., Olivieri, M., Petris, G., Montagna, C., Reginato, G., Maule, G., Lorenzin, F., Prandi, D., Romanel, A., Demichelis, F., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4066 · Cited by 493
Veres, A., Gosis, B. S., Ding, Q., Collins, R., Ragavendran, A., Brand, H., Erdin, S., Cowan, C. A., Talkowski, M. E., & Musunuru, K. (2014) · Cell Stem Cell · doi:10.1016/j.stem.2014.04.020 · Cited by 474
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
Wang, X., Wang, Y., Wu, X., Wang, J., Wang, Y., Qiu, Z., Chang, T., Huang, H., Lin, R.-J., & Yee, J.-K. (2015) · Nature Biotechnology · doi:10.1038/nbt.3127 · Cited by 442
Unbiased detection of CRISPR off-targets in vivo using DISCOVER-Seq
Wienert, B., Wyman, S. K., Richardson, C. D., Yeh, C. D., Akcakaya, P., Porritt, M. J., Morlock, M., Vu, J. T., Kazane, K. R., Watry, H. L., et al. (2019) · Science · doi:10.1126/science.aav9023 · Cited by 434
Zischewski, J., Fischer, R., & Bortesi, L. (2017) · Biotechnology Advances · doi:10.1016/j.biotechadv.2016.12.003 · Cited by 323
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
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
Flagged first, then by citations
Research works printed but not linked: 98
- 10.1016/j.tig.2018.05.004 · DOI
- 10.1038/nbt.3659 · DOI · Paper page
- 10.1186/s13059-018-1534-x · DOI
- 10.1038/nbt.2507 · DOI · Paper page
- 10.1038/nbt.2650 · DOI · Paper page
- 10.1104/pp.15.00636 · DOI · Paper page
- 10.1016/j.molcel.2017.09.029 · DOI · Paper page
- 10.1016/j.jgg.2017.04.009 · DOI
- 10.1186/s13578-019-0298-7 · DOI
- 10.1038/nbt.4102 · DOI
- 10.1093/nar/gkt714 · DOI · Paper page
- 10.1016/B978-0-12-801185-0.00002-7 · DOI
- 10.1038/s41576-018-0059-1 · DOI · Paper page
- 10.1038/s41587-019-0050-1 · DOI
- 10.1038/ncomms15790 · DOI · Paper page
- 10.1038/s41467-018-04580-3 · DOI · Paper page
- 10.3389/fpls.2018.01245 · DOI
- 10.1186/s13059-018-1458-5 · DOI
- 10.1038/nature13011 · DOI · Paper page
- 10.1073/pnas.1402597111 · DOI
- 10.1038/ncomms13350 · DOI
- 10.1038/ncomms12778 · DOI
- 10.1242/dev.099085 · DOI
- 10.1038/s41594-019-0188-z · DOI
- 10.1186/s13059-016-1012-2 · DOI · Paper page
- 10.1038/s41592-018-0011-5 · DOI
- 10.1038/s41421-019-0088-8 · DOI
- 10.1038/nmeth.2845 · DOI
- 10.1093/bioinformatics/bty558 · DOI
- 10.1111/nph.13470 · DOI
- 10.1186/s13578-017-0148-4 · DOI
- 10.1016/j.biotechadv.2014.12.006 · DOI
- 10.1038/523158a · DOI
- 10.1038/nmeth.4293 · DOI
- 10.1042/ETLS20170037 · DOI
- 10.1038/s41477-019-0406-z · DOI
- 10.1093/nsr/nwz005 · DOI
- 10.1016/j.gene.2019.03.019 · DOI
- 10.3390/ijms161024751 · DOI
- 10.1073/pnas.1700557114 · DOI
- 10.1038/s41422-019-0159-2 · DOI
- 10.1073/pnas.1400822111 · DOI
- 10.1111/pbi.12200 · DOI
- 10.1038/s41598-017-00578-x · DOI
- 10.1111/pbi.13020 · DOI
- 10.1038/ncomms12463 · DOI
- 10.1038/nmeth.3284 · DOI · Paper page
- 10.1038/nmeth.2408 · DOI · Paper page
- 10.1038/nm.4313 · DOI
- 10.1038/s41467-018-07988-z · DOI · Paper page
- 10.1093/nar/gkq791 · DOI
- 10.1038/s41586-018-0500-9 · DOI
- 10.1111/febs.13248 · DOI
- 10.1093/bioinformatics/btu048 · DOI · Paper page
- 10.1038/s41467-017-01732-9 · DOI
- 10.1038/s41594-018-0051-7 · DOI
- 10.1111/pbi.13025 · DOI
- 10.1093/nar/gkv575 · DOI · Paper page
- 10.1093/nar/gku410 · DOI
- 10.1038/srep25516 · DOI
- 10.1093/nar/gky354 · DOI
- 10.1016/j.molp.2017.06.004 · DOI
- 10.1016/j.cell.2015.09.038 · DOI · Paper page
- 10.1016/j.molp.2017.01.003 · DOI
- 10.1038/nmeth.2812 · DOI
- 10.1093/nar/gkw407 · DOI
- Aach J., 2014, BioRxiv, 005074
- 10.1186/s13059-018-1445-x · DOI
- 10.1186/s12920-018-0394-2 · DOI
- 10.1038/nrg.2016.28 · DOI
- 10.1101/gr.219089.116 · DOI
- 10.1016/j.cell.2013.08.021 · DOI · Paper page
- 10.1038/nchembio.1793 · DOI
- 10.1038/nbt.3155 · DOI
- 10.1002/anie.201606123 · DOI
- 10.1016/j.cell.2016.12.009 · DOI
- 10.1038/s41467-018-05477-x · DOI · Paper page
- Li D., 2019, Cell Biol. Toxicol., 1
- 10.1073/pnas.1714640114 · DOI
- 10.1126/sciadv.aax5717 · DOI
- 10.1038/s41587-019-0236-6 · DOI
- 10.1038/s41586-019-1314-0 · DOI · Paper page
- 10.1016/j.molp.2019.03.011 · DOI
- 10.1038/emm.2016.111 · DOI
- 10.1038/srep26685 · DOI
- 10.1042/BCJ20170793 · DOI
- 10.1126/science.aaq0180 · DOI · Paper page
- 10.1016/j.jmb.2018.06.029 · DOI
- 10.1038/nbt.3596 · DOI
- 10.1038/nbt.3609 · DOI · Paper page
- 10.1371/journal.pbio.2005595 · DOI
- 10.1073/pnas.1810062115 · DOI
- 10.1101/gr.162339.113 · DOI · Paper page
- 10.1038/nbt.2916 · DOI · Paper page
- 10.4161/15384101.2014.949201 · DOI
- 10.1038/srep12327 · DOI
- 10.1093/nar/gkw398 · DOI
- 10.1021/acscentsci.9b00020 · DOI
Cited by
Sorted by citations
Mechanism and Applications of CRISPR/Cas-9-Mediated Genome Editing
Mengstie, M. A., & Wondimu, B. Z. (2021) · Biologics: Targets and Therapy · doi:10.2147/btt.s326422 · Cited by 478
Chehelgerdi, M., Chehelgerdi, M., Khorramian-Ghahfarokhi, M., Shafieizadeh, M., Mahmoudi, E., Eskandari, F., Rashidi, M., Arshi, A., & Mokhtari-Farsani, A. (2024) · Molecular Cancer · doi:10.1186/s12943-023-01925-5 · Cited by 251
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Metadata
- Authors
- Manghwar, H., Li, B., Ding, X., Hussain, A., Lindsey, K., Zhang, X., & Jin, S.
- Affiliations
- National Key Laboratory of Crop Genetic Improvement Huazhong Agricultural University Wuhan Hubei 430070 P. R. China
- Department of Biosciences Durham University Durham DH1 3LE UK
- ORCID
- Jin, Shuangxia
- Venue
- Advanced Science
- Publisher
- Wiley
- Published
- 2020-02-06
- Volume
- 7
- Issue
- 6
- ISSN
- 2198-3844
- PMC
- PMC7080517
- Cited by
- 347
- References
- 41
- Language
- en
- Funders
- National R&D Project of Transgenic Crops of Ministry of Science and Technology of China (2018ZX08010-05B, 2016ZX08005-001-006, 2019ZX08010-003)
- National Key Research and Development Plan (2016YFD0100203-9)
- Consulting Project of China Academy of Engineering (2018-XY-63)
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