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A highly specific SpCas9 variant is identified by in vivo screening in yeast
Open accessAbstract
Despite the utility of CRISPR-Cas9 nucleases for genome editing, the potential for off-target activity limits their application, especially for therapeutic purposes. We developed a yeast-based assay to identify optimized Streptococcus pyogenes Cas9 (SpCas9) variants that enables simultaneous evaluation of on- and off-target activity. We screened a library of SpCas9 variants carrying random mutations in the REC3 domain and identified mutations that increased editing accuracy while maintaining editing efficiency. We combined four beneficial mutations to generate evoCas9, a variant that has fidelity exceeding both wild-type (79-fold improvement) and rationally designed Cas9 variants (fourfold average improvement), while maintaining near wild-type on-target editing efficiency (90% median residual activity). Evaluating evoCas9 on endogenous genomic loci, we demonstrated a substantially improved specificity and observed no off-target sites for four of the eight single guide RNAs (sgRNAs) tested. Finally, we showed that following long-term expression (40 d), evoCas9 strongly limited the nonspecific cleavage of a difficult-to-discriminate off-target site and fully abrogated the cleavage of two additional off-target sites.
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“Meanwhile, the absolute on-target activity of these Cas9 mutants are not dramatically reduced as compared to SpCas9 (Casini et al., 2018).”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as Casini et al., 2018
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“CRISPR-nucleases have been successfully used to induce NHEJ to knockout genes or genomic regulatory elements25,26. This includes permanent repair of splicing defects in CFTR minigene models27 as an alternative to the transient and inefficient use of oligonucleotides or spliceosome-mediated RNA trans-splicing (SMaRT) strategies28,29.”
From Allele specific repair of splicing mutations in cystic fibrosis through AsCas12a genome editing (2019) · cites this paper as [26]
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“This screen identified four key beneficial point mutations in SpCas9, giving rise to evoCas9, a variant that exhibits fidelity exceeding SpCas9-HF1 and eSpCas9 (Kleinstiver et al., 2015; Casini et al., 2018).”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as Casini et al., 2018
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“They found that the number of off-target sites reduced by 98.7%, 95.4% and 94.1%, respectively.”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as Casini et al., 2018
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“In addition, a series of optimized mutations in SpCas9 have greatly improved the editing specificity of Cas9 variants without substantially attenuating the editing activity.”
From Machine learning-based prediction models to guide the selection of Cas9 variants for efficient gene editing (2024) · cites this paper as [20]
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“Some active gRNAs for SpCas9-WT showed very low editing ability in SpCas9 variants.”
From Machine learning-based prediction models to guide the selection of Cas9 variants for efficient gene editing (2024) · cites this paper as [20]
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The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
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
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
Fast and accurate long-read alignment with Burrows-Wheeler transform.
Li, H., & Durbin, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp698 · Cited by 12,063
Genome-scale CRISPR-Cas9 knockout screening in human cells
Shalem, O., Sanjana, N. E., Hartenian, E., Shi, X., Scott, D. A., Mikkelsen, T. S., Heckl, D., Ebert, B. L., Root, D. E., Doench, J. G., et al. (2014) · Science · doi:10.1126/science.1247005 · Cited by 5,234
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
CRISPR-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
High-efficiency yeast transformation using the LiAc/SS carrier DNA/PEG method
Gietz, R. D., & Schiestl, R. H. (2007) · Nature Protocols · doi:10.1038/nprot.2007.13 · Cited by 2,785
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
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
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Liberles, D. A., Chang, B. S. W., Geiler‐Samerotte, K., Goldman, A. D., Hey, J., Kaçar, B., Meyer, M. M., Murphy, W. J., Posada, D., & Storfer, A. T. (2020) · Journal of Molecular Evolution · doi:10.1007/s00239-020-09932-6 · Cited by 13
Evaluation and prediction of guide RNA activities in genome-editing tools
Kim, H. K., & Kim, S. (2025) · Nature Reviews Bioengineering · doi:10.1038/s44222-025-00352-z · Cited by 12
Valproic Acid Thermally Destabilizes and Inhibits SpyCas9 Activity
Cheng, X. (2020) · Molecular Therapy · doi:10.1016/j.ymthe.2020.08.014 · Cited by 11
Statkute, E., Wang, E. C. Y., & Stanton, R. J. (2022) · Human Gene Therapy · doi:10.1089/hum.2021.120 · Cited by 11
Gene editing: Towards the third generation of adoptive T-cell transfer therapies
Puig-Saus, C., & Ribas, A. (2019) · Immuno-Oncology Technology · doi:10.1016/j.iotech.2019.06.001 · Cited by 12
Advances in gene editing strategies for epidermolysis bullosa
Köcher, T., & Koller, U. (2021) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2020.12.007 · Cited by 11
CRISPR/Cas-based Human T cell Engineering: Basic Research and Clinical Application
Bernard, B. E., Landmann, E., Jeker, L. T., & Schumann, K. (2022) · Immunology Letters · doi:10.1016/j.imlet.2022.03.005 · Cited by 12
The origin of unwanted editing byproducts in gene editing
Yin, J., & Hu, J. (2022) · Acta Biochimica et Biophysica Sinica · doi:10.3724/abbs.2022056 · Cited by 11
Li, X., Hu, H., Wang, H., Liu, J., Jiang, W., Zhou, F., & Zhang, J. (2024) · Materials Horizons · doi:10.1039/d4mh01158a · Cited by 12
Enlarging the Toolbox Against Antimicrobial Resistance: Aptamers and CRISPR-Cas
Pereira, H. S., Tagliaferri, T. L., & Mendes, T. A. D. O. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.606360 · Cited by 10
Accurate top protein variant discovery via low-N pick-and-validate machine learning
Chu, H. Y., Fong, J. H. C., Thean, D., Zhou, P., Fung, F. K. C., Huang, Y., & Wong, A. S. L. (2024) · Cell Systems · doi:10.1016/j.cels.2024.01.002 · Cited by 10
Secondary Conformational Checkpoint in CRISPR-Cas9
Zhao, S., Liu, J., & Zuo, Z. (2024) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.4c00120 · Cited by 9
The Strategy and Application of Gene Attenuation in Metabolic Engineering
Zhang, Y., Jin, Z., Liu, L., & Zhang, D. (2025) · Microorganisms · doi:10.3390/microorganisms13040927 · Cited by 9
Matrix regulation: a plug-and-tune method for combinatorial regulation in Saccharomyces cerevisiae
Teng, X., Wang, Z., Zhang, Y., Wang, B., Gong, G., Hu, J., Zhu, Y., Peng, B., Wang, J., Chen, J. L., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-62886-5 · Cited by 12
Mechanisms of the Specificity of the CRISPR/Cas9 System in Genome Editing
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Vos, P. D., Gandadireja, A. P., Rossetti, G., Siira, S. J., Mantegna, J. L., Filipovska, A., & Rackham, O. (2024) · Cell Reports Methods · doi:10.1016/j.crmeth.2024.100756 · Cited by 11
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Steyer, B., Cory, E., & Saha, K. (2018) · Drug Discovery Today Technologies · doi:10.1016/j.ddtec.2018.02.001 · Cited by 12
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Galichet, C., & Lovell-Badge, R. H. (2021) · Laboratory Animals · doi:10.1177/0023677221993141 · Cited by 9
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Amrani, N., Gao, X. D., Liu, P., Edraki, A., Mir, A., Ibraheim, R., Gupta, A., Sasaki, K. E., Wu, T., Donohoue, P. D., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/172650 · Cited by 9
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Kostyushev, D. S., Kostyusheva, A., Ponomareva, N. I., Brezgin, S., & Chulanov, V. (2021) · Nucleic Acid Therapeutics · doi:10.1089/nat.2021.0075 · Cited by 8
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Khan, Z., Khan, S. H., & Ahmad, A. (2021) · Springer eBooks · doi:10.1007/978-981-16-6305-5_10 · Cited by 9
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Zhang, H., & Tu, T. (2023) · Clinics in Liver Disease · doi:10.1016/j.cld.2023.05.006 · Cited by 8
Recent advances in genome engineering by CRISPR technology
Lee, Y., Oh, Y., & Lee, S. H. (2024) · BMB Reports · doi:10.5483/bmbrep.2023-0157 · Cited by 10
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Ciucci, G., Braga, L., & Zacchigna, S. (2024) · British Journal of Pharmacology · doi:10.1111/bph.16424 · Cited by 8
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Prykhozhij, S. V., Cordeiro, A., Cáceres, L., & Berman, J. N. (2020) · Methods in molecular biology · doi:10.1007/978-1-0716-0290-4_21 · Cited by 8
Improving adenine base editing precision by enlarging the recognition domain of CRISPR-Cas9
Gao, S., Weng, B., Wich, D., Power, L. H., Chen, M., Guan, H., Ye, Z., Xu, C., & Xu, Q. (2025) · Nature Communications · doi:10.1038/s41467-025-57154-5 · Cited by 7
Gallo, D., Meunier, A., & Périn, C. (2025) · Frontiers in Genome Editing · doi:10.3389/fgeed.2025.1663352 · Cited by 10
Umbach, A., Maule, G., Kheir, E., Cutarelli, A., Foglia, M., Guarrera, L., Fava, L. L., Conti, L., Garattini, E., Terao, M., et al. (2022) · Stem Cell Research & Therapy · doi:10.1186/s13287-022-03135-0 · Cited by 7
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Sang, Y., Xu, L., & Bao, Z. (2024) · Molecular Therapy · doi:10.1016/j.ymthe.2024.10.029 · Cited by 9
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Zang, S.-S., Zhang, R., Zhang, J.-R., Zhang, X., & Li, J. (2025) · Human Gene Therapy · doi:10.1089/hum.2024.262 · Cited by 6
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Okafor, I. C., Choi, J., & Ha, T. (2021) · Methods · doi:10.1016/j.ymeth.2021.11.003 · Cited by 6
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Muro, A. F., D’Antiga, L., & Mingozzi, F. (2019) · Springer eBooks · doi:10.1007/978-3-319-96400-3_44 · Cited by 6
Chen, Y., Ke, Y., Jiang, Z., & Yang, G. (2025) · Biomaterials Science · doi:10.1039/d5bm00194c · Cited by 5
Baghini, S. S., Razeghian, E., Kakavand, S., Pecho, R. D. C., Obaid, M., Awfi, Z. S., Zainab, H. A., & Shamsara, M. (2023) · International Immunopharmacology · doi:10.1016/j.intimp.2023.110724 · Cited by 5
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To cut or not to cut: Next-generation genome editors for precision genome engineering
Zhang, M., Zhu, Z., Xun, G., & Zhao, H. (2023) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2023.100489 · Cited by 5
Belato, H. B., Knight, A. L., D’Ordine, A. M., Pindi, C., Fan, Z.-Q., Luo, J., Palermo, G., Jogl, G., & Lisi, G. P. (2024) · eLife · doi:10.7554/elife.99275.4 · Cited by 5
Zeng, J., Diao, L., Xie, S., & Xiao, Z. (2025) · Cell investigation. · doi:10.1016/j.clnves.2025.100047 · Cited by 4
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Metadata
- Authors
- Casini, A., Olivieri, M., Petris, G., Montagna, C., Reginato, G., Maule, G., Lorenzin, F., Prandi, D., Romanel, A., Demichelis, F., Inga, A., & Cereseto, A.
- Affiliations
- University of Trento (IT)
- Corresponding author
- Casini, Antonio
- Cereseto, Anna
- ORCID
- Venue
- Nature Biotechnology
- Published
- 2018-01-29
- Volume
- 36
- Issue
- 3
- Pages
- 265-271
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- PMC
- PMC6066108
- OpenAlex
- W2787206763
- Cited by
- 493
- References
- 44
- Citations by year
- 2026: 33 · 2025: 48 · 2024: 65 · 2023: 43 · 2022: 82 · 2021: 62 · 2020: 70 · 2019: 63 · 2018: 26
- FWCI
- 19.66
- 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)
- Institutional Research Information System (Università degli Studi di Trento) (submittedVersion, other-oa)
- Institutional Research Information System (University of Udine) (submittedVersion)
- Funders
- Università degli Studi di Trento
- 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
- SpCas9, off-target effects, editing specificity, yeast-based screening, single guide RNA, genome editing, CRISPR/Cas9
- MeSH terms
- Gene Editing, CRISPR-Associated Protein 9, RNA, Guide, CRISPR-Cas Systems, Mutation, Streptococcus pyogenes, Substrate Specificity, RNA, Guide, Kinetoplastida, CRISPR-Cas Systems
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