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Cited by 332

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Ultra-sensitive and high-throughput CRISPR-p owered COVID-19 diagnosis

Open access
Huang, Zhen, Tian, Di, Liu, Yang, Lin, Zhen, Lyon, Christopher J., Lai, Weihua, Fusco, Dahlene, Drouin, Arnaud, Yin, Xiaoming, Hu, Tony, Ning, Bo·2020·Biosensors and Bioelectronics

Abstract

Abstract: Recent research suggests that SARS-CoV-2-infected individuals can be highly infectious while asymptomatic or pre-symptomatic, and that an infected person may infect 5.6 other individuals on average. This situation highlights the need for rapid, sensitive SARS-CoV-2 diagnostic assays capable of high-throughput operation that can preferably utilize existing equipment to facilitate broad, large-scale screening efforts. We have developed a CRISPR-based assay that can meet all these criteria. This assay utilizes a custom CRISPR Cas12a/gRNA complex and a fluorescent probe to detect target amplicons produced by standard RT-PCR or isothermal recombinase polymerase amplification (RPA), to allow sensitive detection at sites not equipped with real-time PCR systems required for qPCR diagnostics. We found this approach allowed sensitive and robust detection of SARS-CoV-2 positive samples, with a sample-to-answer time of ~50 min, and a limit of detection of 2 copies per sample. CRISPR assay diagnostic results obtained nasal swab samples of individuals with suspected COVID-19 cases were comparable to paired results from a CDC-approved quantitative RT-PCR (RT-qPCR) assay performed in a state testing lab, and superior to those produced by same assay in a clinical lab, where the RT-qPCR assay exhibited multiple invalid or inconclusive results. Our assay also demonstrated greater analytical sensitivity and more robust diagnostic performance than other recently reported CRISPR-based assays. Based on these findings, we believe that a CRISPR-based fluorescent application has potential to improve current COVID-19 screening efforts.

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Metadata

Authors
Huang, Z., Tian, D., Liu, Y., Lin, Z., Lyon, C. J., Lai, W., Fusco, D., Drouin, A., Yin, X., Hu, T., & Ning, B.
Venue
Biosensors and Bioelectronics
Publisher
Elsevier BV
Published
2020-09
Volume
164
Pages
112316
ISSN
0956-5663 (ISSN-L)
OpenAlex
W3026715285
Cited by
332
References
3
FWCI
8.15
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Ultra-sensitive and high-throughput CRISPR-p owered COVID-19 diagnosis. https://app.cochat.ai/papers/10.1016/j.bios.2020.112316
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Huang, Z., Tian, D., Liu, Y., Lin, Z., Lyon, C. J., Lai, W., Fusco, D., Drouin, A., Yin, X., Hu, T., & Ning, B. (2020). Ultra-sensitive and high-throughput CRISPR-p owered COVID-19 diagnosis. Biosensors and Bioelectronics. https://doi.org/10.1016/j.bios.2020.112316

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