清脆的
基础(拓扑)
分辨率(逻辑)
核苷酸
计算生物学
遗传学
生物
计算机科学
化学
基因
数学
数学分析
人工智能
作者
Hongwenjie Ma,Yicheng Tian,Derong Kong,Mingquan Guo,Changhao Dai,Qiang Wang,Shenwei Li,Zhengan Tian,Yunqi Liu,Dacheng Wei
标识
DOI:10.1016/j.bios.2024.116548
摘要
An effective strategy for accurately detecting single nucleotide variants (SNVs) is of great significance for genetic research and diagnostics. However, strict amplification conditions, complex experimental instruments, and specialized personnel are required to obtain a satisfactory tradeoff between sensitivity and selectivity for SNV discrimination. In this study, we present a CRISPR-based transistor biosensor for the rapid and highly selective detection of SNVs in viral RNA. By introducing a synthetic mismatch in the crRNA, the CRISPR-Cas13a protein can be engineered to capture the target SNV RNA directly on the surface of the graphene channel. This process induces a fast electrical signal response in the transistor, obviating the need for amplification or reporter molecules. The biosensor exhibits a detection limit for target RNA as low as 5 copies in 100 μL, which is comparable to that of real-time quantitative polymerase chain reaction (PCR). Its operational range spans from 10 to 5 × 10
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