The DOI matches its Crossref record; 337 of the 337 references it cites were found in a registry or an index.
Applications of genome editing technology in the targeted therapy of human diseases: mechanisms, advances and prospects
Open accessAbstract
Based on engineered or bacterial nucleases, the development of genome editing technologies has opened up the possibility of directly targeting and modifying genomic sequences in almost all eukaryotic cells. Genome editing has extended our ability to elucidate the contribution of genetics to disease by promoting the creation of more accurate cellular and animal models of pathological processes and has begun to show extraordinary potential in a variety of fields, ranging from basic research to applied biotechnology and biomedical research. Recent progress in developing programmable nucleases, such as zinc-finger nucleases (ZFNs), transcription activator-like effector nucleases (TALENs) and clustered regularly interspaced short palindromic repeat (CRISPR)–Cas-associated nucleases, has greatly expedited the progress of gene editing from concept to clinical practice. Here, we review recent advances of the three major genome editing technologies (ZFNs, TALENs, and CRISPR/Cas9) and discuss the applications of their derivative reagents as gene editing tools in various human diseases and potential future therapies, focusing on eukaryotic cells and animal models. Finally, we provide an overview of the clinical trials applying genome editing platforms for disease treatment and some of the challenges in the implementation of this technology.
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
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
Genome engineering using the CRISPR-Cas9 system
Ran, F. A., Hsu, P. D., Wright, J., Agarwala, V., Scott, D. A., & Zhang, F. (2013) · Nature Protocols · doi:10.1038/nprot.2013.143 · Cited by 11,133
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
Vogelstein, B., Papadopoulos, N., Velculescu, V. E., Zhou, S., Diaz, L. A., & Kinzler, K. W. (2013) · Science · doi:10.1126/science.1235122 · Cited by 7,863
The new frontier of genome engineering with CRISPR-Cas9
Doudna, J. A., & Charpentier, E. (2014) · Science · doi:10.1126/science.1258096 · Cited by 7,062
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 · cited 1×
“As previously noted, there is a tolerance of sequence mismatch when Cas9-sgRNA binds to the target DNA: both identical and highly homologous DNA sequences can be cleaved, leading to chromosomal rearrangements or off-target mutations.(286,287) With numerous studies demonstrating the presence of its off-target activity,…”
BackgroundCRISPR-Cas12a target binding unleashes indiscriminate single-stranded DNase activity
Chen, J. S., Ma, E., Harrington, L. B., Da Costa, M., Tian, X., Palefsky, J. M., & Doudna, J. A. (2018) · Science · doi:10.1126/science.aar6245 · Cited by 4,507
The DNA Damage Response: Making It Safe to Play with Knives
Ciccia, A., & Elledge, S. J. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.09.019 · Cited by 4,368
Nucleic acid detection with CRISPR-Cas13a/C2c2
Gootenberg, J. S., Abudayyeh, O. O., Lee, J. W., Essletzbichler, P., Dy, A. J., Joung, J., Verdine, V., Donghia, N., Daringer, N. M., Freije, C. A., et al. (2017) · Science · doi:10.1126/science.aam9321 · Cited by 3,844
Research works printed but not linked: 7
- Reik, A., Zhou, Yuanyue & Mendel, MatthewC. Zinc finger nucleases targeting the glucocorticoid receptor Allow IL-13 zetakine transgenic CTLs to kill glioblastoma cells in vivo in the presence of immunosuppressing glucocorticoids. Mol. Ther. 16, S13–S14 (2008). D. E. P., 1 DiGiusto,2 & Jensen.
- Ren, C. et al. Zinc finger nuclease combines with cisplatin and trichostatin a enhances the antitumor potency in cervical cancer cells. Anticancer Agents Med. Chem. https://doi.org/10.2174/1871520618666180509152222 (2018). · doi:10.2174/1871520618666180509152222
- Keeler, C. E. THE geotropic reaction of rodless mice in light and in darkness. J. Gen. Physiol. 11, 361–368 (1928). · doi:10.1085/jgp.11.4.361
- Kim, B. S. et al. Targeted disruption of the myocilin gene (Myoc) suggests that human glaucoma-causing mutations are gain of function. Mol. Cell. Biol. 21, 7707–7713 (2001). · doi:10.1128/mcb.21.22.7707-7713.2001
- Carbone, M. A. et al. Overexpression of myocilin in the Drosophila eye activates the unfolded protein response: implications for glaucoma. PloS ONE 4, e4216 (2009). · doi:10.1371/journal.pone.0004216
- Kurome, M. et al. 361 growth hormone receptor mutant pigs produced by using the clustered regularly interspaced short palindromic repeats (crispr) and crispr-associated systems in in vitro-produced zygotes. Reprod. Fertil. Dev. 27, 269 (2014). · doi:10.1071/rdv27n1ab361
- Shah, S. Z. et al. Advances In research on genome editing Crispr-Cas9 technology. J. Ayub Med Coll. Abbottabad 31, 108–122 (2019).
Cited by
CRISPR-Cas9 In Vivo Gene Editing for Transthyretin Amyloidosis
Gillmore, J. D., Gane, E., Taubel, J., Kao, J., Fontana, M., Maitland, M. L., Seitzer, J., O’Connell, D., Walsh, K. R., Wood, K., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2107454 · Cited by 1,801
Therapeutic siRNA: state of the art
Hu, B., Zhong, L., Weng, Y., Peng, L., Huang, Y., Zhao, Y., & Liang, X.-J. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-0207-x · Cited by 1,586
Targeting the RAS/RAF/MAPK pathway for cancer therapy: from mechanism to clinical studies
Bahar, M. E., Kim, H. J., & Kim, D. R. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01705-z · Cited by 888
mRNA-based therapeutics: powerful and versatile tools to combat diseases
Qin, S., Tang, X., Chen, Y., Chen, K., Fan, N., Xiao, W., Zheng, Q., Li, G., Teng, Y., Wu, M., et al. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01007-w · Cited by 771
Self-citationImpacts of COVID-19 pandemic on urban park visitation: a global analysis
Geng, D. (., Innes, J., Wu, W., & Wang, G. (2021) · Journal of Forestry Research · doi:10.1007/s11676-020-01249-w · Cited by 531
Metadata
- Authors
- Li, H., Yang, Y., Hong, W., Huang, M., Wu, M., & Zhao, X.
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2020-01-03
- Volume
- 5
- Issue
- 1
- Pages
- 1-1
- ISSN
- 2059-3635 (ISSN-L)
- OpenAlex
- W2998881619
- Cited by
- 1,715
- References
- 337
- FWCI
- 73.09
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- creativecommons.org/licenses/by/4.0 (tdm)
- creativecommons.org/licenses/by/4.0 (vor)
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: Applications of genome editing technology in the targeted therapy of human diseases: mechanisms, advances and prospects. https://app.cochat.ai/papers/10.1038/s41392-019-0089-y
- The paper
- Li, H., Yang, Y., Hong, W., Huang, M., Wu, M., & Zhao, X. (2020). Applications of genome editing technology in the targeted therapy of human diseases: mechanisms, advances and prospects. Signal Transduction and Targeted Therapy. https://doi.org/10.1038/s41392-019-0089-y
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.