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About:
Ultra-sensitive and high-throughput CRISPR-Powered COVID-19 diagnosis
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wasabi.inria.fr
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Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Ultra-sensitive and high-throughput CRISPR-Powered COVID-19 diagnosis
Creator
Tian, Di
Liu, Yang
Ning, Bo
Huang, Zhen
Lai, C
Lin, Zhen
Yin, A
Huang, Z
Tian, D
Hu, X
Lin, Y
Drouin, Arnaud
Fusco, Dahlene
Hu, Tony
Lai, Weihua
Lyon, Christopher
Yin, Xiaoming
Fusco,
Fusco, W
Lyon, Z
Source
Elsevier; Medline; PMC; WHO
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 amplify 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 qPCR assay performed in a state testing lab, and superior to those produced by same assay in a clinical lab, where the 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.
has issue date
2020-05-23
(
xsd:dateTime
)
bibo:doi
10.1016/j.bios.2020.112316
bibo:pmid
32553350
has license
no-cc
sha1sum (hex)
c8e9fe46a5fe98d7cd224f08cfe79dc5ec518380
schema:url
https://doi.org/10.1016/j.bios.2020.112316
resource representing a document's title
Ultra-sensitive and high-throughput CRISPR-Powered COVID-19 diagnosis
has PubMed Central identifier
PMC7245202
has PubMed identifier
32553350
schema:publication
Biosens Bioelectron
resource representing a document's body
covid:c8e9fe46a5fe98d7cd224f08cfe79dc5ec518380#body_text
is
schema:about
of
named entity 'probe'
named entity 'demonstrated'
named entity 'Our'
named entity 'testing'
named entity 'paired'
named entity 'sensitivity'
named entity 'amplification'
named entity 'performed'
named entity 'qPCR'
named entity 'samples'
named entity 'assay'
named entity 'CRISPR'
named entity 'detection'
named entity 'greater'
named entity 'highly'
named entity 'assays'
named entity 'highlights'
named entity 'infected'
named entity 'infect'
named entity 'isothermal'
named entity 'COVID-19'
named entity 'qPCR'
named entity 'high-throughput'
named entity 'fluorescent'
named entity 'SARS-CoV-2'
named entity 'COVID'
named entity 'SARS-CoV-2'
named entity 'CRISPR'
named entity 'fluorescent'
named entity 'limit of detection'
named entity 'RT-PCR'
named entity 'qPCR'
named entity 'gRNA'
named entity 'Cas12a'
named entity 'CDC'
named entity 'CRISPR'
named entity 'qPCR'
named entity 'COVID'
named entity 'average'
named entity 'individuals'
named entity 'isothermal'
named entity 'Ultra-sensitive'
named entity 'APPROVED'
named entity 'NASAL'
named entity 'AMPLIFICATION'
named entity 'SAMPLE'
named entity 'PERFORMED'
named entity 'SITUATION'
named entity 'MEET'
named entity 'CURRENT'
named entity 'SYMPTOMATIC'
named entity 'SUSPECTED'
named entity 'SYSTEMS'
named entity 'CRISPR'
named entity 'EQUIPMENT'
named entity 'ASSAY'
named entity 'APPLICATION'
named entity 'TARGET'
named entity 'LIMIT OF DETECTION'
named entity 'INFECT'
named entity 'SCALE'
named entity 'ROBUST'
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