The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Highly Efficient Mouse Genome Editing by CRISPR Ribonucleoprotein Electroporation of Zygotes
Open accessAbstract
The CRISPR/Cas9 system has been employed to efficiently edit the genomes of diverse model organisms. CRISPR-mediated mouse genome editing is typically accomplished by microinjection of Cas9 DNA/RNA and single guide RNA (sgRNA) into zygotes to generate modified animals in one step. However, microinjection is a technically demanding, labor-intensive, and costly procedure with poor embryo viability. Here, we describe a simple and economic electroporation-based strategy to deliver Cas9/sgRNA ribonucleoproteins into mouse zygotes with 100% efficiency for in vivo genome editing. Our methodology, designated as CRISPR RNP Electroporation of Zygotes (CRISPR-EZ), enables highly efficient and high-throughput genome editing in vivo, with a significant improvement in embryo viability compared with microinjection. Using CRISPR-EZ, we generated a variety of editing schemes in mouse embryos, including indel (insertion/deletion) mutations, point mutations, large deletions, and small insertions. In a proof-of-principle experiment, we used CRISPR-EZ to target the tyrosinase (Tyr) gene, achieving 88% bi-allelic editing and 42% homology-directed repair-mediated precise sequence modification in live mice. Taken together, CRISPR-EZ is simple, economic, high throughput, and highly efficient with the potential to replace microinjection for in vivo genome editing in mice and possibly in other mammals.
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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
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
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
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
Yang, H., Wang, H., Shivalila, C. S., Cheng, A. W., Shi, L., & Jaenisch, R. (2013) · Cell · doi:10.1016/j.cell.2013.08.022 · Cited by 1,596
Structures 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
Targeted Chromosomal Cleavage and Mutagenesis in Drosophila Using Zinc-Finger Nucleases
Bibikova, M., Golic, M., Golic, K. G., & Carroll, D. (2002) · Genetics · doi:10.1093/genetics/161.3.1169 · Cited by 860
Cited by
Delivering CRISPR: a review of the challenges and approaches
Lino, C. A., Harper, J. C., Carney, J. P., & Timlin, J. A. (2018) · Drug Delivery · doi:10.1080/10717544.2018.1474964 · Cited by 1,185
Quadros, R. M., Miura, H., Harms, D. W., Akatsuka, H., Sato, T., Aida, T., Redder, R., Richardson, G. P., Inagaki, Y., Sakai, D., et al. (2017) · Genome Biology · doi:10.1186/s13059-017-1220-4 · Cited by 513
Genetic Dissection of Neural Circuits: A Decade of Progress
Luo, L., Callaway, E. M., & Svoboda, K. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.040 · Cited by 448
Non-viral delivery systems for CRISPR/Cas9-based genome editing: challenges and opportunities
Li, L., Hu, S., & Chen, X. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.04.031 · Cited by 415
Mangeot, P. E., Risson, V., Fusil, F., Marnef, A., Laurent, E., Blin, J., Mournetas, V., Massouridès, E., Sohier, T. J. M., Corbin, A., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-07845-z · Cited by 346
Metadata
- Authors
- Chen, S., Lee, B., Lee, A. Y.-F., Modzelewski, A. J., & He, L.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2016-07
- Volume
- 291
- Issue
- 28
- Pages
- 14457-14467
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W2345889524
- Cited by
- 333
- References
- 10
- FWCI
- 14.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Chen, S., Lee, B., Lee, A. Y.-F., Modzelewski, A. J., & He, L. (2016). Highly Efficient Mouse Genome Editing by CRISPR Ribonucleoprotein Electroporation of Zygotes. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.m116.733154
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