The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Engineering virus resistance via CRISPR–Cas systems
Abstract
In prokaryotes, CRISPR/Cas adaptive immunity systems target and destroy nucleic acids derived from invading bacteriophages and other foreign genetic elements. In eukaryotes, the native function of these systems has been exploited to combat viruses in mammals and plants. Rewired CRISPR/Cas9 and CRISPR/Cas13 systems have been used to confer resistance against DNA and RNA viruses, respectively. Here, we discuss recent approaches employing CRISPR/Cas systems to combat viruses in eukaryotes, highlight key challenges, and provide future perspectives. Moreover, we discuss the application of CRISPR/Cas systems in genome-wide screens to identify key host factors for virus infection to enhance our understanding of basic virus biology and to identify and study virus-host interactions.
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“CRISPR/Cas13a systems also emerge as an answer to RNA viruses do their capacity to cleave RNA molecules, although due to its novelty ongoing research still focuses on identifying the most potent and specific Cas13 variants [173,174].”
From CRISPR-Cas: Converting A Bacterial Defence Mechanism into A State-of-the-Art Genetic Manipulation Tool (2019) · cites this paper as [174]
Citations
Cites
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An updated evolutionary classification of CRISPR–Cas systems
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Bacteriophage resistance mechanisms
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C2c2 is a single-component programmable RNA-guided RNA-targeting CRISPR effector
Abudayyeh, O. O., Gootenberg, J. S., Konermann, S., Joung, J., Slaymaker, I. M., Cox, D. B. T., Shmakov, S., Makarova, K. S., Semenova, E., Minakhin, L., et al. (2016) · Science · doi:10.1126/science.aaf5573 · Cited by 2,336
Evolution and classification of the CRISPR–Cas systems
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Cited by
Loureiro, A., & da Silva, G. J. (2019) · Antibiotics · doi:10.3390/antibiotics8010018 · Cited by 129
Metadata
- Authors
- Mahas, A., & Mahfouz, M.
- ORCID
- Mahas, Ahmed
- Venue
- Current Opinion in Virology
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 32
- Pages
- 1-8
- ISSN
- 1879-6257
- Cited by
- 74
- References
- 61
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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- Mahas, A., & Mahfouz, M. (2018). Engineering virus resistance via CRISPR–Cas systems. Current Opinion in Virology. https://doi.org/10.1016/j.coviro.2018.06.002
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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.
