The DOI matches its Crossref record; 43 of the 44 references it cites were found in a registry or an index.
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.
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
“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
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
“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]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
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 Casini et al., 2018
The cited source says what the claim attributes to it.
In the citing paper
“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
The cited source says what the claim attributes to it.
In the citing paper
“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]
The cited source says what the claim attributes to it.
In the citing paper
“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]
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
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
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
Easy quantitative assessment of genome editing by sequence trace decomposition
Brinkman, E. K., Chen, T., Amendola, M., & van Steensel, B. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku936 · Cited by 2,390
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
Dynamic Imaging of Genomic Loci in Living Human Cells by an Optimized CRISPR/Cas System
Chen, B., Gilbert, L. A., Cimini, B. A., Schnitzbauer, J., Zhang, W., Li, G., Park, J. S., Blackburn, E. H., Weissman, J. S., Qi, L. S., et al. (2013) · Cell · doi:10.1016/j.cell.2013.12.001 · Cited by 1,988
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
Engineered CRISPR-Cas9 nucleases with altered PAM specificities
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., et al. (2015) · Nature · doi:10.1038/nature14592 · Cited by 1,624
Genome engineering in Saccharomyces cerevisiae using CRISPR-Cas systems
DiCarlo, J. E., Norville, J. E., Mali, P., Rios, X., Aach, J., & Church, G. M. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt135 · Cited by 1,566
RNA-guided gene activation by CRISPR-Cas9-based transcription factors
Perez-Pinera, P., Kocak, D. D., Vockley, C. M., Adler, A. F., Kabadi, A. M., Polstein, L. R., Thakore, P. I., Glass, K. A., Ousterout, D. G., Leong, K. W., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2600 · Cited by 1,328
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
Diversity and evolution of class 2 CRISPR–Cas systems
Shmakov, S., Smargon, A., Scott, D., Cox, D., Pyzocha, N., Yan, W., Abudayyeh, O. O., Gootenberg, J. S., Makarova, K. S., Wolf, Y. I., et al. (2017) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.184 · Cited by 1,029
Dimeric CRISPR RNA-guided FokI nucleases for highly specific genome editing
Tsai, S. Q., Wyvekens, N., Khayter, C., Foden, J. A., Thapar, V., Reyon, D., Goodwin, M. J., Aryee, M. J., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2908 · Cited by 952
Heritable targeted gene disruption in zebrafish using designed zinc-finger nucleases
Doyon, Y., McCammon, J. M., Miller, J. C., Faraji, F., Ngo, C., Katibah, G. E., Amora, R., Hocking, T. D., Zhang, L., Rebar, E. J., et al. (2008) · Nature Biotechnology · doi:10.1038/nbt1409 · Cited by 896
Yin, H., Song, C.-Q., Dorkin, J. R., Zhu, L. J., Li, Y., Wu, Q., Park, A., Yang, J., Suresh, S., Bizhanova, A., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3471 · Cited by 876
Guilinger, J. P., Thompson, D. B., & Liu, D. R. (2014) · Nature Biotechnology · doi:10.1038/nbt.2909 · Cited by 836
Efficient genome modification by CRISPR-Cas9 nickase with minimal off-target effects
Shen, B., Zhang, W., Zhang, J., Zhou, J., Wang, J., Chen, L., Wang, L., Hodgkins, A., Iyer, V., Huang, X., et al. (2014) · Nature Methods · doi:10.1038/nmeth.2857 · Cited by 769
Rapid and highly efficient mammalian cell engineering via Cas9 protein transfection
Liang, X., Potter, J., Kumar, S., Zou, Y., Quintanilla, R., Sridharan, M., Carte, J., Chen, W., Roark, N., Ranganathan, S., et al. (2015) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2015.04.024 · Cited by 733
Gene disruption by cell-penetrating peptide-mediated delivery of Cas9 protein and guide RNA
Ramakrishna, S., Kwaku Dad, A.-B., Beloor, J., Gopalappa, R., Lee, S.-K., & Kim, H. (2014) · Genome Research · doi:10.1101/gr.171264.113 · Cited by 655
New CRISPR–Cas systems from uncultivated microbes
Burstein, D. E., Harrington, L. B., Strutt, S. C., Probst, A. J., Anantharaman, K., Thomas, B. C., Doudna, J. A., & Banfield, J. F. (2016) · Nature · doi:10.1038/nature21059 · Cited by 583
OpenCFU, a New Free and Open-Source Software to Count Cell Colonies and Other Circular Objects
Geissmann, Q. (2013) · PLoS ONE · doi:10.1371/journal.pone.0054072 · Cited by 390
High frequency targeted mutagenesis in Arabidopsis thaliana using zinc finger nucleases
Zhang, F., Maeder, M. L., Unger‐Wallace, E., Hoshaw, J. P., Reyon, D., Christian, M. L., Li, X., Pierick, C. J., Dobbs, D. L., Peterson, T., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0914991107 · Cited by 385
In vivo high-throughput profiling of CRISPR-Cpf1 activity
Kim, H. K., Song, M., Lee, J., Menon, A. V., Jung, S., Kang, Y.-M., Choi, J. W., Woo, E., Koh, H. C., Nam, J.-W., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4104 · Cited by 383
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
In vivo high-throughput profiling of CRISPR–Cpf1 activity
송명재 (2018) · Cited by 201
DNA-binding-domain fusions enhance the targeting range and precision of Cas9
Bolukbasi, M. F., Gupta, A., Oikemus, S., Derr, A. G., Garber, M. G., Brodsky, M. H., Zhu, L. J., & Wolfe, S. A. (2015) · Nature Methods · doi:10.1038/nmeth.3624 · Cited by 117
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
Self-citationChemical 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
Tomso, D. J., Inga, A., Menéndez, D., Pittman, G. S., Campbell, M. R., Storici, F., Bell, D. A., & Resnick, M. A. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0501721102 · Cited by 83
Self-citationOpen-source guideseq software for analysis of GUIDE-seq data
Tsai, S. Q., Topkar, V. V., Joung, J. K., & Aryee, M. J. (2016) · Nature Biotechnology · doi:10.1038/nbt.3534 · Cited by 78
Functional evolution of the p53 regulatory network through its target response elements
Jegga, A. G., Inga, A., Menéndez, D., Aronow, B. J., & Resnick, M. A. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0704694105 · Cited by 67
Self-citationStuckey, S., & Storici, F. (2013) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/b978-0-12-420067-8.00008-8 · Cited by 33
Casini, A., Olivieri, M., Vecchi, L., Burrone, Ó. R., & Cereseto, A. (2014) · Journal of Virology · doi:10.1128/jvi.02634-14 · Cited by 14
Self-citation
Flagged first, then by citations
1 of the 44 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Genome editing with CRISPR–Cas nucleases, base editors, transposases and prime editors
Anzalone, A. V., Koblan, L. W., & Liu, D. R. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0561-9 · Cited by 2,237
The next generation of CRISPR–Cas technologies and applications
Pickar-Oliver, A., & Gersbach, C. A. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0131-5 · Cited by 1,459
CRISPR technology: A decade of genome editing is only the beginning
Wang, J. Y., & Doudna, J. A. (2023) · Science · doi:10.1126/science.add8643 · Cited by 1,105
Vakulskas, C. A., Dever, D. P., Rettig, G. R., Turk, R., Jacobi, A. M., Collingwood, M. A., Bode, N. M., McNeill, M. S., Yan, S., Camarena, J., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0137-0 · Cited by 782
CRISPR/Cas9 therapeutics: progress and prospects
Li, T., Yang, Y., Qi, H., Cui, W., Zhang, L., Fu, X., He, X., Liu, M., Li, P., & Yu, T. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01309-7 · Cited by 824
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
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