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

被引：92
|
作者：
Rauch, Jennifer N. [1 ,2 ]
Valois, Eric [1 ,2 ]
Solley, Sabrina C. [1 ]
Braig, Friederike [1 ]
Lach, Ryan S. [1 ]
Audouard, Morgane [1 ,2 ]
Ponce-Rojas, Jose Carlos [1 ]
Costello, Michael S. [1 ]
Baxter, Naomi J. [1 ]
Kosik, Kenneth S. [1 ,2 ]
Arias, Carolina [1 ,2 ]
Acosta-Alvear, Diego [1 ,2 ]
Wilson, Maxwell Z. [1 ,2 ,3 ]
机构：
[1] Univ Calif Santa Barbara, Dept Mol Cellular & Dev Biol, Santa Barbara, CA 93106 USA
[2] Univ Calif Santa Barbara, Neurosci Res Inst, Santa Barbara, CA 93106 USA
[3] Univ Calif Santa Barbara, Ctr Bioengn, Santa Barbara, CA 93106 USA
来源：
JOURNAL OF CLINICAL MICROBIOLOGY | 2021年 / 59卷 / 04期
关键词：
CRISPR; Cas13; COVID-19; point of care; SARS-CoV-2; testing; COVID-19;
D O I：
10.1128/JCM.02402-20
中图分类号：
Q93 [微生物学];
学科分类号：
071005 ; 100705 ;
摘要：
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.
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