A Scalable, Easy-to-Deploy Protocol for Cas13-Based Detection of SARS-CoV-2 Genetic Material.

Autor:	Rauch JN; University of California, Santa Barbara, Department of Molecular, Cellular, and Developmental Biology, Santa Barbara, California, USA.; Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, California, USA., Valois E; University of California, Santa Barbara, Department of Molecular, Cellular, and Developmental Biology, Santa Barbara, California, USA.; Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, California, USA., Solley SC; University of California, Santa Barbara, Department of Molecular, Cellular, and Developmental Biology, Santa Barbara, California, USA., Braig F; University of California, Santa Barbara, Department of Molecular, Cellular, and Developmental Biology, Santa Barbara, California, USA., Lach RS; University of California, Santa Barbara, Department of Molecular, Cellular, and Developmental Biology, Santa Barbara, California, USA., Audouard M; University of California, Santa Barbara, Department of Molecular, Cellular, and Developmental Biology, Santa Barbara, California, USA.; Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, California, USA., Ponce-Rojas JC; University of California, Santa Barbara, Department of Molecular, Cellular, and Developmental Biology, Santa Barbara, California, USA., Costello MS; University of California, Santa Barbara, Department of Molecular, Cellular, and Developmental Biology, Santa Barbara, California, USA., Baxter NJ; University of California, Santa Barbara, Department of Molecular, Cellular, and Developmental Biology, Santa Barbara, California, USA., Kosik KS; University of California, Santa Barbara, Department of Molecular, Cellular, and Developmental Biology, Santa Barbara, California, USA.; Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, California, USA., Arias C; University of California, Santa Barbara, Department of Molecular, Cellular, and Developmental Biology, Santa Barbara, California, USA.; Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, California, USA., Acosta-Alvear D; University of California, Santa Barbara, Department of Molecular, Cellular, and Developmental Biology, Santa Barbara, California, USA daa@lifesci.ucsb.edu mzw@ucsb.edu.; Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, California, USA., Wilson MZ; University of California, Santa Barbara, Department of Molecular, Cellular, and Developmental Biology, Santa Barbara, California, USA daa@lifesci.ucsb.edu mzw@ucsb.edu.; Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, California, USA.; Center for BioEngineering, University of California, Santa Barbara, Santa Barbara, California, USA.
Jazyk:	angličtina
Zdroj:	Journal of clinical microbiology [J Clin Microbiol] 2021 Mar 19; Vol. 59 (4). Date of Electronic Publication: 2021 Mar 19 (Print Publication: 2021).
DOI:	10.1128/JCM.02402-20
Abstrakt:	The COVID-19 pandemic has created massive demand for widespread, distributed tools for detecting SARS-CoV-2 genetic material. The hurdles to scalable testing include reagent and instrument accessibility, availability of highly trained personnel, and large upfront investment. Here, we showcase an orthogonal pipeline we call CREST (Cas13-based, rugged, equitable, scalable testing) that addresses some of these hurdles. Specifically, CREST pairs commonplace and reliable biochemical methods (PCR) with low-cost instrumentation, without sacrificing detection sensitivity. By taking advantage of simple fluorescence visualizers, CREST allows a binary interpretation of results. CREST may provide a point-of-care solution to increase the distribution of COVID-19 surveillance. (Copyright © 2021 Rauch et al.)
Databáze:	MEDLINE
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