The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.
CRISPR/cas systems redefine nucleic acid detection: Principles and methods
Open accessAbstract
Methods that enable rapid, sensitive and specific analyses of nucleic acid sequences have positive effects on precise disease diagnostics and effective clinical treatments by providing direct insight into clinically relevant genetic information. Thus far, many CRISPR/Cas systems have been repurposed for diagnostic functions and are revolutionizing the accessibility of robust diagnostic tools due to their high flexibility, sensitivity and specificity. As RNA-guided targeted recognition effectors, Cas9 variants have been utilized for a variety of diagnostic applications, including biosensing assays, imaging assays and target enrichment for next-generation sequencing (NGS), thereby enabling the development of flexible and cost-effective tests. In addition, the ensuing discovery of Cas proteins (Cas12 and Cas13) with collateral cleavage activities has facilitated the development of numerous diagnostic tools for rapid and portable detection, and these tools have great potential for point-of-care settings. However, representative reviews proposed on this topic are mainly confined to classical biosensing applications; thus, a comprehensive and systematic description of this fast-developing field is required. In this review, based on the detection principle, we provide a detailed classification and comprehensive discussion of recent works that harness these CRISPR-based diagnostic tools from a new perspective. Furthermore, current challenges and future perspectives of CRISPR-based diagnostics are outlined.
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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
Repurposing CRISPR as an RNA-Guided Platform for Sequence-Specific Control of Gene Expression
Qi, L. S., Larson, M. H., Gilbert, L. A., Doudna, J. A., Weissman, J. S., Arkin, A. P., & Lim, W. A. (2013) · Cell · doi:10.1016/j.cell.2013.02.022 · Cited by 5,016 · cited 1×
“The abovementioned Cas9 variants were first employed as flexible and versatile tools for gene editing and transcriptional regulation (Cong et al., 2013; Mali et al., 2013b; Qi et al., 2013) and later applied to in vitro molecular diagnosis, in which recognition or manipulation by these effectors functions as a critica…”
DNA targeting specificity of RNA-guided Cas9 nucleases
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CRISPR-Cas12a target binding unleashes indiscriminate single-stranded DNase activity
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Nucleic acid detection with CRISPR-Cas13a/C2c2
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Double nicking by RNA-guided CRISPR Cas9 for enhanced genome editing specificity
Ran, F. A., Hsu, P. D., Lin, C.-Y., Gootenberg, J. S., Konermann, S., Trevino, A. E., Scott, D. A., Inoue, A., Matoba, S., Zhang, Y., et al. (2013) · Cell · doi:10.1016/j.cell.2013.08.021 · Cited by 3,299
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High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects
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Cited by
Huang, Y., Guo, X., Wu, Y., Chen, X., Feng, L., Xie, N., & Shen, G. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01745-z · Cited by 490
Feng, W., Newbigging, A. M., Tao, J., Cao, Y., Peng, H., Le, C., Wu, J., Pang, B., Li, J., Tyrrell, D. L., et al. (2021) · Chemical Science · doi:10.1039/d0sc06973f · Cited by 312
Self-citation
Metadata
- Authors
- Wang, M., Zhang, R., & Li, J.
- Venue
- Biosensors and Bioelectronics
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 165
- Pages
- 112430
- ISSN
- 0956-5663 (ISSN-L)
- OpenAlex
- W3042205760
- Cited by
- 268
- References
- 109
- FWCI
- 9.40
- Type
- journal article
- Language
- en
- Open access
- green
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