Computational Biology Center , IBM Thomas J. Watson Research , Yorktown Heights , New York 10598 , United States.
ACS Nano. 2018 May 22;12(5):4194-4205. doi: 10.1021/acsnano.8b01198. Epub 2018 Apr 23.
Accurate and rapid detection of single-nucleotide polymorphism (SNP) in pathogenic mutants is crucial for many fields such as food safety regulation and disease diagnostics. Current detection methods involve laborious sample preparations and expensive characterizations. Here, we investigated a single locked nucleic acid (LNA) approach, facilitated by a nanopore single-molecule sensor, to accurately determine SNPs for detection of Shiga toxin producing Escherichia coli (STEC) serotype O157:H7, and cancer-derived EGFR L858R and KRAS G12D driver mutations. Current LNA applications that require incorporation and optimization of multiple LNA nucleotides. But we found that in the nanopore system, a single LNA introduced in the probe is sufficient to enhance the SNP discrimination capability by over 10-fold, allowing accurate detection of the pathogenic mutant DNA mixed in a large amount of the wild-type DNA. Importantly, the molecular mechanistic study suggests that such a significant improvement is due to the effect of the single-LNA that both stabilizes the fully matched base-pair and destabilizes the mismatched base-pair. This sensitive method, with a simplified, low cost, easy-to-operate LNA design, could be generalized for various applications that need rapid and accurate identification of single-nucleotide variations.
准确快速地检测致病突变体中的单核苷酸多态性(SNP)对于食品安全监管和疾病诊断等许多领域至关重要。目前的检测方法涉及繁琐的样品制备和昂贵的特性分析。在这里,我们研究了一种单锁核酸(LNA)方法,该方法由纳米孔单分子传感器辅助,用于准确确定 SNP,以检测产志贺毒素大肠杆菌(STEC)血清型 O157:H7 以及源自癌症的 EGFR L858R 和 KRAS G12D 驱动突变。目前的 LNA 应用需要引入和优化多个 LNA 核苷酸。但我们发现,在纳米孔系统中,探针中引入单个 LNA 就足以将 SNP 区分能力提高 10 倍以上,从而能够准确检测大量野生型 DNA 中存在的致病突变体 DNA。重要的是,分子机制研究表明,这种显著的改善是由于单个 LNA 的作用,它既能稳定完全匹配的碱基对,又能破坏不匹配的碱基对。这种灵敏的方法采用简化、低成本、易于操作的 LNA 设计,可以推广应用于需要快速准确识别单核苷酸变异的各种应用。