Novel Isothermal Amplification Integrated with CRISPR/Cas13a and Its Applications for Ultrasensitive Detection of SARS-CoV-2.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Jaemin Kim, Yo Rim Kim, Sang Mo Lee, Jinhwan Lee, Seoyoung Lee, Dongeun Yong, Hyun Gyu Park
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引用次数: 0

Abstract

We herein developed an ultrasensitive and rapid strategy to identify genomic nucleic acids by integrating a clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 13a (Cas13a) into our recently developed isothermal technique, nicking and extension chain reaction system-based amplification (NESBA) reaction. In this technique, named CESBA, the NESBA reaction isothermally produces a large amount of RNA amplicons from the initial target genomic RNA (gRNA). The RNA amplicons bind to the crispr RNA (crRNA) and activate the collateral cleavage activity of Cas13a, which would then cleave the reporter probe nearby, consequently producing the final signals. Based on this design principle, we successfully detected SARS-CoV-2 gRNA as a model target very sensitively down to even a single copy (0.05 copies/μL) in both fluorescence- and lateral flow assay (LFA)-based modes with excellent specificity against other human coronaviruses (H-CoVs). We further validated the clinical applicability of CESBA by testing the 20 clinical samples with 100% clinical sensitivity and specificity. This work represents a potent and innovative strategy for the identification of genomic nucleic acids in molecular diagnostics, delivering exceptional levels of sensitivity.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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