The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.
Molecular Mechanisms of RNA Targeting by Cas13-containing Type VI CRISPR–Cas Systems
Abstract
Prokaryotic adaptive immune systems use Clustered Regularly Interspaced Short Palindromic Repeats (CRISPRs) and CRISPR-associated (Cas) proteins for RNA-guided cleavage of foreign genetic elements. The focus of this review, Type VI CRISPR-Cas systems, contain a single protein, Cas13 (formerly C2c2) that when assembled with a CRISPR RNA (crRNA) forms a crRNA-guided RNA-targeting effector complex. Type VI CRISPR-Cas systems can be divided into four subtypes (A-D) based on Cas13 phylogeny. All Cas13 proteins studied to date possess two enzymatically distinct ribonuclease activities that are required for optimal interference. One RNase is responsible for pre-crRNA processing to form mature Type VI interference complexes, while the other RNase activity provided by the two Higher Eukaryotes and Prokaryotes Nucleotide-binding (HEPN) domains, is required for degradation of target-RNA during viral interference. In this review, I will compare and contrast what is known about the molecular architecture and behavior of Type VI (A-D) CRISPR-Cas13 interference complexes, how this allows them to carry out their RNA-targeting function, how Type VI accessory proteins are able to modulate Cas13 activity, and how together all of these features have led to the rapid development of a range of RNA-targeting applications. Throughout I will also discuss some of the outstanding questions regarding Cas13's molecular behavior, and its role in bacterial adaptive immunity and RNA-targeting applications.
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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
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
CRISPR Provides Acquired Resistance Against Viruses in Prokaryotes
Barrangou, R., Fremaux, C., Deveau, H., Richards, M., Boyaval, P., Moineau, S., Romero, D. A., & Horvath, P. (2007) · Science · doi:10.1126/science.1138140 · Cited by 5,947
Development and Applications of CRISPR-Cas9 for Genome Engineering
Hsu, P. D., Lander, E. S., & Zhang, F. (2014) · Cell · doi:10.1016/j.cell.2014.05.010 · Cited by 5,762
Cpf1 Is a Single RNA-Guided Endonuclease of a Class 2 CRISPR-Cas System
Zetsche, B., Gootenberg, J. S., Abudayyeh, O. O., Slaymaker, I. M., Makarova, K. S., Essletzbichler, P., Volz, S. E., Joung, J., van der Oost, J., Regev, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.09.038 · Cited by 4,761
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
Gasiunas, G., Barrangou, R., Horvath, P., & Siksnys, V. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1208507109 · Cited by 2,769
Multiplexed and portable nucleic acid detection platform with Cas13, Cas12a, and Csm6
Gootenberg, J. S., Abudayyeh, O. O., Kellner, M. J., Joung, J., Collins, J. J., & Zhang, F. (2018) · Science · doi:10.1126/science.aaq0179 · Cited by 2,638
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
An updated evolutionary classification of CRISPR–Cas systems
Makarova, K. S., Wolf, Y. I., Alkhnbashi, O. S., Costa, F., Shah, S. A., Saunders, S. J., Barrangou, R., Brouns, S. J. J., Charpentier, E., Haft, D. H., et al. (2015) · Nature Reviews Microbiology · doi:10.1038/nrmicro3569 · Cited by 2,480
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Metadata
- Authors
- O'Connell, M. R.
- Venue
- Journal of Molecular Biology
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 431
- Issue
- 1
- Pages
- 66-87
- ISSN
- 0022-2836 (ISSN-L)
- OpenAlex
- W2809070871
- Cited by
- 346
- References
- 102
- FWCI
- 8.95
- Type
- journal article
- Language
- en
- Open access
- closed
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