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Universally Stable and Precise CRISPR-LAMP Detection Platform for Precise Multiple Respiratory Tract Virus Diagnosis Including Mutant SARS-CoV-2 Spike N501Y. | LitMetric

Universally Stable and Precise CRISPR-LAMP Detection Platform for Precise Multiple Respiratory Tract Virus Diagnosis Including Mutant SARS-CoV-2 Spike N501Y.

Anal Chem

Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, 2205 Songhu Road, Shanghai 200433, P. R. China.

Published: December 2021

AI Article Synopsis

Article Abstract

Nowadays, rapid and accurate diagnosis of respiratory tract viruses is an urgent need to prevent another epidemic outbreak. To overcome this problem, we have developed a clustered, regularly interspaced short palindromic repeats (CRISPR) loop mediated amplification (LAMP) technology to detect influenza A virus, influenza B virus, respiratory syncytial A virus, respiratory syncytial B virus, and severe acute respiratory syndrome coronavirus 2, including variants of concern (B.1.1.7), which utilized CRISPR-associated protein 12a (Cas12a) to advance LAMP technology with the sensitivity increased 10 times. To reduce aerosol contamination in CRISPR-LAMP technology, an uracil-DNA-glycosylase-reverse transcription-LAMP system was also developed which can effectively remove dUTP-incorporated LAMP amplicons. In vitro Cas12a cleavage reaction with 28 crRNAs showed that there were no position constraints for Cas12a/CRISPR RNA (crRNA) recognition and cleavage in LAMP amplicons, and even the looped position of LAMP amplicons could be effectively recognized and cleaved. Wild-type or spike N501Y can be detected with a limit of detection of 10 copies/μL (wild-type) even at a 1% ratio level on the background (spike N501Y). Combining UDG-RT-LAMP technology, CRISPR-LAMP design, and mutation detection design, we developed a CRISPR-LAMP detection platform that can precisely diagnose pathogens with better stability and significantly improved point mutation detection efficiency.

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Source
http://dx.doi.org/10.1021/acs.analchem.1c04065DOI Listing

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