The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Rapid generation of mouse models with defined point mutations by the CRISPR/Cas9 system
Open accessAbstract
Introducing a point mutation is a fundamental method used to demonstrate the roles of particular nucleotides or amino acids in the genetic elements or proteins, and is widely used in in vitro experiments based on cultured cells and exogenously provided DNA. However, the in vivo application of this approach by modifying genomic loci is uncommon, partly due to its technical and temporal demands. This leaves many in vitro findings un-validated under in vivo conditions. We herein applied the CRISPR/Cas9 system to generate mice with point mutations in their genomes, which led to single amino acid substitutions in proteins of interest. By microinjecting gRNA, hCas9 mRNA and single-stranded donor oligonucleotides (ssODN) into mouse zygotes, we introduced defined genomic modifications in their genome with a low cost and in a short time. Both single gRNA/WT hCas9 and double nicking set-ups were effective. We also found that the distance between the modification site and gRNA target site was a significant parameter affecting the efficiency of the substitution. We believe that this is a powerful technique that can be used to examine the relevance of in vitro findings, as well as the mutations found in patients with genetic disorders, in an in vivo system.
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.
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
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
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
Steroidogenic factor 1: a key determinant of endocrine development and function
Parker, K. L., & Schimmer, B. P. (1997) · Endocrine Reviews · doi:10.1210/edrv.18.3.0301 · Cited by 764
Cited by
Efficient introduction of specific homozygous and heterozygous mutations using CRISPR/Cas9
Paquet, D., Kwart, D., Chen, A., Sproul, A., Jacob, S., Teo, S., Olsen, K. M., Gregg, A., Noggle, S., & Tessier-Lavigne, M. (2016) · Nature · doi:10.1038/nature17664 · Cited by 951
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
Mass Spectrometry-Based Detection and Assignment of Protein Posttranslational Modifications
Doll, S., & Burlingame, A. L. (2015) · ACS Chemical Biology · doi:10.1021/cb500904b · Cited by 261
Advances in Genome Editing and Application to the Generation of Genetically Modified Rat Models
Chenouard, V., Remy, S., Tesson, L., Ménoret, S., Ouisse, L.-H., Cherifi, Y., & Anegon, I. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.615491 · Cited by 57
Yoshida, T., Yamagata, A., Imai, A., Kim, J., Izumi, H., Nakashima, S., Shiroshima, T., Maeda, A., Iwasawa-Okamoto, S., Azechi, K., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22059-6 · Cited by 50
Metadata
- Authors
- Inui, M., Miyado, M., Igarashi, M., Tamano, M., Kubo, A., Yamashita, S., Asahara, H., Fukami, M., & Takada, S.
- Venue
- Scientific Reports
- Published
- 2014-06-23
- Volume
- 4
- Issue
- 1
- Pages
- 5396-5396
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2024626278
- Cited by
- 219
- References
- 6
- FWCI
- 9.00
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Rapid generation of mouse models with defined point mutations by the CRISPR/Cas9 system. https://app.cochat.ai/papers/10.1038/srep05396
- The paper
- Inui, M., Miyado, M., Igarashi, M., Tamano, M., Kubo, A., Yamashita, S., Asahara, H., Fukami, M., & Takada, S. (2014). Rapid generation of mouse models with defined point mutations by the CRISPR/Cas9 system. Scientific Reports. https://doi.org/10.1038/srep05396
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
