亚型
清脆的
计算生物学
病毒学
计算机科学
点(几何)
生物
遗传学
程序设计语言
数学
基因
几何学
作者
Yibin B. Zhang,Jon Arizti-Sanz,A'Doriann Bradley,Yujia Huang,Tinna-Sólveig F. Kosoko-Thoroddsen,Pardis C. Sabeti,Cameron Myhrvold
标识
DOI:10.1016/j.jmoldx.2024.04.004
摘要
The high disease burden of influenza virus poses a significant threat to human health. Optimized diagnostic technologies that combine speed, sensitivity, and specificity with minimal equipment requirements are urgently needed to detect the many circulating species, subtypes, and variants of influenza at the point of need. Here, we introduce such a method using Streamlined Highlighting of Infections to Navigate Epidemics (SHINE), a clustered regularly interspaced short palindromic repeats (CRISPR)-based RNA detection platform. Four SHINE assays were designed and validated for the detection and differentiation of clinically relevant influenza species (A and B) and subtypes (H1N1 and H3N2). When tested on clinical samples, these optimized assays achieved 100% concordance with quantitative RT-PCR. Duplex Cas12a/Cas13a SHINE assays were also developed to detect two targets simultaneously. This study demonstrates the utility of this duplex assay in discriminating two alleles of an oseltamivir resistance (H275Y) mutation as well as in simultaneously detecting influenza A and human RNAse P in patient samples. These assays have the potential to expand influenza detection outside of clinical laboratories for enhanced influenza diagnosis and surveillance.
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