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Streamlined inactivation, amplification, and Cas13-based detection of SARS-CoV-2

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sword-2020-11-30T18:30:06.original.xml (130 B)
Original SWORD entry document
Author(s)
Arizti-Sanz, Jon
•
Freije, Catherine A.
•
Stanton, Alexandra C.
•
Petros, Brittany A.
•
Boehm, Chloe K.
•
Siddiqui, Sameed
•
Shaw, Bennett M.
•
Adams, Gordon
•
Kosoko-Thoroddsen, Tinna-Solveig F.
•
Kemball, Molly E.
more
Date Issued
November 2020
Journal
Nature Communications
Publisher
Springer Science and Business Media LLC
Citation
Arizti-Sanz, Jon et al. "Streamlined inactivation, amplification, and Cas13-based detection of SARS-CoV-2." Nature Communications 11, 1 (November 2020): 5921 © 2020 The Author(s)
Version
Final published version
Abstract
The COVID-19 pandemic has highlighted that new diagnostic technologies are essential for controlling disease transmission. Here, we develop SHINE (Streamlined Highlighting of Infections to Navigate Epidemics), a sensitive and specific diagnostic tool that can detect SARS-CoV-2 RNA from unextracted samples. We identify the optimal conditions to allow RPA-based amplification and Cas13-based detection to occur in a single step, simplifying assay preparation and reducing run-time. We improve HUDSON to rapidly inactivate viruses in nasopharyngeal swabs and saliva in 10 min. SHINE’s results can be visualized with an in-tube fluorescent readout — reducing contamination risk as amplification reaction tubes remain sealed — and interpreted by a companion smartphone application. We validate SHINE on 50 nasopharyngeal patient samples, demonstrating 90% sensitivity and 100% specificity compared to RT-qPCR with a sample-to-answer time of 50 min. SHINE has the potential to be used outside of hospitals and clinical laboratories, greatly enhancing diagnostic capabilities.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Terms of Use
Creative Commons Attribution 4.0 International license
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/128694
DOI of Published Version
https://doi.org/10.1038/s41467-020-19097-x
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