The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Efficient multiplex biallelic zebrafish genome editing using a CRISPR nuclease system
Abstract
A simple and robust method for targeted mutagenesis in zebrafish has long been sought. Previous methods generate monoallelic mutations in the germ line of F0 animals, usually delaying homozygosity for the mutation to the F2 generation. Generation of robust biallelic mutations in the F0 would allow for phenotypic analysis directly in injected animals. Recently the type II prokaryotic clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins (Cas) system has been adapted to serve as a targeted genome mutagenesis tool. Here we report an improved CRISPR/Cas system in zebrafish with custom guide RNAs and a zebrafish codon-optimized Cas9 protein that efficiently targeted a reporter transgene Tg(-5.1mnx1:egfp) and four endogenous loci ( tyr , golden , mitfa , and ddx19 ). Mutagenesis rates reached 75–99%, indicating that most cells contained biallelic mutations. Recessive null-like phenotypes were observed in four of the five targeting cases, supporting high rates of biallelic gene disruption. We also observed efficient germ-line transmission of the Cas9-induced mutations. Finally, five genomic loci can be targeted simultaneously, resulting in multiple loss-of-function phenotypes in the same injected fish. This CRISPR/Cas9 system represents a highly effective and scalable gene knockout method in zebrafish and has the potential for applications in other model organisms.
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 need for specific proteins tailored for each gene makes multiplex gene editing a strenuous task for ZFNs and TALENs, while with Cas9 systems multiple genes can be targeted simply by delivering multiple gRNAs to the cells.
“The need for specific proteins tailored for each gene also makes multiplex gene editing a strenuous task for ZFNs and TALENs, while with Cas9 systems multiple genes can be targeted simply by delivering multiple gRNAs to the cells [63,98].”
From CRISPR-Cas: Converting A Bacterial Defence Mechanism into A State-of-the-Art Genetic Manipulation Tool (2019) · cites this paper as [98]
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
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
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
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
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
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
RNA-guided genetic silencing systems in bacteria and archaea
Wiedenheft, B., Sternberg, S. H., & Doudna, J. A. (2012) · Nature · doi:10.1038/nature10886 · Cited by 1,851
TALENs: A widely applicable technology for targeted genome editing
Joung, J. K., & Sander, J. D. (2013) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3486 · Cited by 1,650 · cited 1×
“R methodological innovations that exploit zinc finger nucleases (ZFNs) and transcription-activator–like effector nucleases (TALENs) have made it possible to introduce sitespecific genomic modifications in cell culture systems and in a wide range of species (1, 2).”
BackgroundSLC24A5, a putative cation exchanger, affects pigmentation in zebrafish and humans
Lamason, R. L., Mohideen, M.-A. P. K., Mest, J. R., Wong, A. C., Norton, H. L., Aros, M. C., Jurynec, M. J., Mao, X., Humphreville, V. R., Humbert, J. E., et al. (2005) · Science · doi:10.1126/science.1116238 · Cited by 1,043
Flagged first, then by citations
Research works printed but not linked: 21
- 10.1038/nature03556 · DOI
- 10.1146/annurev-genet-110410-132430 · DOI · Paper page
- 10.1016/j.mib.2011.03.005 · DOI
- 10.1038/nbt.2507 · DOI · Paper page
- 10.1073/pnas.1208507109 · DOI · Paper page
- 10.1093/nar/gkt135 · DOI · Paper page
- 10.1038/cr.2013.45 · DOI
- 10.1099/mic.0.023960-0 · DOI · Paper page
- 10.1242/dev.074344 · DOI
- 10.1038/nn1344 · DOI
- 10.1242/dev.126.17.3757 · DOI · Paper page
- 10.1101/gad.2040611 · DOI
- 10.1126/science.1134641 · DOI
- 10.1073/pnas.0403929101 · DOI
- 10.1016/j.ydbio.2010.12.004 · DOI · Paper page
- 10.1111/j.0022-202X.2004.23475.x · DOI
- 10.1242/dev.02533 · DOI
- 10.1038/nrg1154 · DOI
- 10.1242/dev.124.16.3157 · DOI
- 10.1126/science.282.5394.1711 · DOI
- 10.1038/ng0498-345 · DOI
Cited by
Sorted by citations
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
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
A CRISPR/Cas9 toolkit for multiplex genome editing in plants
Xing, H.-L., Dong, L., Wang, Z.-P., Zhang, H.-Y., Han, C.-Y., Liu, B., Wang, X.-C., & Chen, Q.-J. (2014) · BMC Plant Biology · doi:10.1186/s12870-014-0327-y · Cited by 1,684
CRISPRscan: designing highly efficient sgRNAs for CRISPR-Cas9 targeting in vivo
Moreno-Mateos, M. A., Vejnar, C. E., Beaudoin, J.-D., Fernandez, J. P., Mis, E. K., Khokha, M. K., & Giraldez, A. J. (2015) · Nature Methods · doi:10.1038/nmeth.3543 · Cited by 1,290
Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryo
Wagner, D. E., Weinreb, C., Collins, Z. M., Briggs, J. A., Megason, S. G., & Klein, A. M. (2018) · Science · doi:10.1126/science.aar4362 · Cited by 849
Disruptive CHD8 Mutations Define a Subtype of Autism Early in Development
Bernier, R., Golzio, C., Xiong, B., Stessman, H. A., Coe, B. P., Penn, O., Witherspoon, K., Gerdts, J., Baker, C., Vulto-van Silfhout, A. T., et al. (2014) · Cell · doi:10.1016/j.cell.2014.06.017 · Cited by 798
Correction of a genetic disease in mouse via use of CRISPR-Cas9
Wu, Y., Liang, D., Wang, Y., Bai, M., Tang, W., Bao, S., Yan, Z., Li, D., & Li, J. (2013) · Cell stem cell · doi:10.1016/j.stem.2013.10.016 · Cited by 614
MAIT cells are imprinted by the microbiota in early life and promote tissue repair
Constantinides, M. G., Link, V. M., Tamoutounour, S., Wong, A. C., Perez-Chaparro, P. J., Han, S.-J., Chen, Y. E., Li, K., Farhat, S., Weckel, A., et al. (2019) · Science · doi:10.1126/science.aax6624 · Cited by 567
Single-Cell Transcriptomics Meets Lineage Tracing
Kester, L., & van Oudenaarden, A. (2018) · Cell Stem Cell · doi:10.1016/j.stem.2018.04.014 · Cited by 375
Somatic mosaicism and allele complexity induced by CRISPR/Cas9 RNA injections in mouse zygotes
Yen, S.-T., Zhang, M., Deng, J. M., Usman, S. J., Smith, C. N., Parker-Thornburg, J., Swinton, P. G., Martin, J. F., & Behringer, R. R. (2014) · Developmental Biology · doi:10.1016/j.ydbio.2014.06.017 · Cited by 300
A Platform for Rapid Exploration of Aging and Diseases in a Naturally Short-Lived Vertebrate
Harel, I., Benayoun, B. A., Machado, B., Singh, P. P., Hu, C.-K., Pech, M. F., Valenzano, D. R., Zhang, E., Sharp, S. C., Artandi, S. E., et al. (2015) · Cell · doi:10.1016/j.cell.2015.01.038 · Cited by 232
CRISPR 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
High-efficiency targeted editing of large viral genomes by RNA-guided nucleases
Bi, Y., Sun, L., Gao, D., Ding, C., Li, Z., Li, Y., Cun, W., & Li, Q. (2014) · PLoS Pathogens · doi:10.1371/journal.ppat.1004090 · Cited by 148
Loureiro, A., & da Silva, G. J. (2019) · Antibiotics · doi:10.3390/antibiotics8010018 · Cited by 129
Herzog, C., Pons Garcia, L., Keatinge, M., Greenald, D., Moritz, C., Peri, F., & Herrgen, L. (2019) · Development · doi:10.1242/dev.174698 · Cited by 106
EGFR is required for Wnt9a/Fzd9b signalling specificity in haematopoietic stem cells
Grainger, S., Nguyen, N., Richter, J., Setayesh, J., Lonquich, B., Oon, C. H., Wozniak, J. M., Barahona, R., Kamei, C. N., Houston, J., et al. (2019) · Nature Cell Biology · doi:10.1038/s41556-019-0330-5 · Cited by 60
Autolysosome biogenesis and developmental senescence are regulated by both Spns1 and v-ATPase
Sasaki, T., Lian, S., Khan, A., Llop, J. R., Samuelson, A. V., Chen, W., Klionsky, D. J., & Kishi, S. (2017) · Autophagy · doi:10.1080/15548627.2016.1256934 · Cited by 60
Self-citationPetratou, K., Spencer, S. A., Kelsh, R. N., & Lister, J. A. (2021) · PLOS ONE · doi:10.1371/journal.pone.0244794 · Cited by 55
The gene regulatory basis of genetic compensation during neural crest induction
Dooley, C. M., Wali, N., Sealy, I. M., White, R. J., Stemple, D. L., Collins, J. E., & Busch-Nentwich, E. M. (2019) · PLOS Genetics · doi:10.1371/journal.pgen.1008213 · Cited by 40
An ongoing role for Wnt signaling in differentiating melanocytes in vivo
Vibert, L., Aquino, G., Gehring, I., Subkankulova, T., Schilling, T. F., Rocco, A., & Kelsh, R. N. (2017) · Pigment Cell & Melanoma Research · doi:10.1111/pcmr.12568 · Cited by 35
Metadata
- Authors
- Jao, L.-E., Wente, S. R., & Chen, W.
- Affiliations
- Department of Cell and Developmental Biology and
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN 37232-8240
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2013-08-05
- Volume
- 110
- Issue
- 34
- Pages
- 13904-13909
- ISSN
- 0027-8424
- 1091-6490
- Cited by
- 1,311
- References
- 12
- Language
- en
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