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Cited by 268

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Accelerated RNA detection using tandem CRISPR nucleases

Open access
Liu, Tina Y., Knott, Gavin J., Smock, Dylan C. J., Desmarais, John J., Son, Sungmin, Bhuiya, Abdul, Jakhanwal, Shrutee, Prywes, Noam, Agrawal, Shreeya, Díaz de León Derby, María, Switz, Neil A., Armstrong, Maxim, Harris, Andrew R., Charles, Emeric J., Thornton, Brittney W., Fozouni, Parinaz, Shu, Jeffrey, Stephens, Stephanie I., Kumar, G. Renuka, Zhao, Chunyu, Mok, Amanda, Iavarone, Anthony T., Escajeda, Arturo M., McIntosh, Roger, Kim, Shineui, Dugan, Eli J., IGI Testing Consortium, Hamilton, Jennifer R., Lin-Shiao, Enrique, Stahl, Elizabeth C., Tsuchida, Connor A., Moehle, Erica A., Giannikopoulos, Petros, McElroy, Matthew, McDevitt, Shana, Zur, Arielle, Sylvain, Iman, Ciling, Alison, Zhu, Madeleine, Williams, Clara, Baldwin, Alisha, Pollard, Katherine S., Tan, Ming X., Ott, Melanie, Fletcher, Daniel A., Lareau, Liana F., Hsu, Patrick D., Savage, David F., Doudna, Jennifer A.·2021·Nature Chemical Biology

Abstract

Direct, amplification-free detection of RNA has the potential to transform molecular diagnostics by enabling simple on-site analysis of human or environmental samples. CRISPR–Cas nucleases offer programmable RNA-guided RNA recognition that triggers cleavage and release of a fluorescent reporter molecule, but long reaction times hamper their detection sensitivity and speed. Here, we show that unrelated CRISPR nucleases can be deployed in tandem to provide both direct RNA sensing and rapid signal generation, thus enabling robust detection of ~30 molecules per µl of RNA in 20 min. Combining RNA-guided Cas13 and Csm6 with a chemically stabilized activator creates a one-step assay that can detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA extracted from respiratory swab samples with quantitative reverse transcriptase PCR (qRT–PCR)-derived cycle threshold (Ct) values up to 33, using a compact detector. This Fast Integrated Nuclease Detection In Tandem (FIND-IT) approach enables sensitive, direct RNA detection in a format that is amenable to point-of-care infection diagnosis as well as to a wide range of other diagnostic or research applications. Deploying two unrelated CRISPR nucleases in tandem, with multiplexed CRISPR RNAs and a chemically stabilized activator, creates a simple, one-step assay that can rapidly detect attomolar concentrations of RNA without needing target amplification.

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Metadata

Authors
Liu, T. Y., Knott, G. J., Smock, D. C. J., Desmarais, J. J., Son, S., Bhuiya, A., Jakhanwal, S., Prywes, N., Agrawal, S., Díaz de León Derby, M., Switz, N. A., Armstrong, M., Harris, A. R., Charles, E. J., Thornton, B. W., Fozouni, P., Shu, J., Stephens, S. I., Kumar, G. R., Zhao, C., Mok, A., Iavarone, A. T., Escajeda, A. M., McIntosh, R., Kim, S., Dugan, E. J., IGI Testing Consortium, Hamilton, J. R., Lin-Shiao, E., Stahl, E. C., Tsuchida, C. A., Moehle, E. A., Giannikopoulos, P., McElroy, M., McDevitt, S., Zur, A., Sylvain, I., Ciling, A., Zhu, M., Williams, C., Baldwin, A., Pollard, K. S., Tan, M. X., Ott, M., Fletcher, D. A., Lareau, L. F., Hsu, P. D., Savage, D. F., & Doudna, J. A.
Venue
Nature Chemical Biology
Published
2021-08-05
Volume
17
Issue
9
Pages
982-988
ISSN
  • 1552-4450 (ISSN-L)
  • 1552-4469
OpenAlex
W3188079964
Cited by
268
References
39
FWCI
11.54
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Accelerated RNA detection using tandem CRISPR nucleases. https://app.cochat.ai/papers/10.1038/s41589-021-00842-2
The paper
Liu, T. Y., Knott, G. J., Smock, D. C. J., Desmarais, J. J., Son, S., Bhuiya, A., Jakhanwal, S., Prywes, N., Agrawal, S., Díaz de León Derby, M., Switz, N. A., Armstrong, M., Harris, A. R., Charles, E. J., Thornton, B. W., Fozouni, P., Shu, J., Stephens, S. I., Kumar, G. R., . . . Doudna, J. A. (2021). Accelerated RNA detection using tandem CRISPR nucleases. Nature Chemical Biology. https://doi.org/10.1038/s41589-021-00842-2

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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.