Liu Weiliang, Chen Desheng, Pian Hongru, Su Fengxia, Wang Hui, Zhang Pengbo, Li Zhengping
Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083, PR China.
Nano Today. 2022 Dec;47:101664. doi: 10.1016/j.nantod.2022.101664. Epub 2022 Oct 31.
Digital counting individual nucleic acid molecule is of great significance for fundamental biological research and accurate diagnosis of genetic diseases, which is hard to achieve with existing single-molecule detection technologies. Herein, we report a novel one-by-one single-molecule counting method for digital quantification of SARS-Cov-2 RNA. This method uses one fluorescent micromotor functionalized with peptide nucleic acids (PNAs) to specially capture one target RNA molecule. The RNA-micromotors can be propelled by the electric field to target district and accurately counted. Moreover, the method can also clearly discriminate one-base mutation in the target RNAs, indicating the great potential for clinical diagnostics and virus traceability survey.
对单个核酸分子进行数字计数，对于基础生物学研究和遗传疾病的准确诊断具有重要意义，而现有的单分子检测技术难以实现这一点。在此，我们报告了一种用于对SARS-CoV-2 RNA进行数字定量的新型逐个单分子计数方法。该方法使用一种用肽核酸（PNA）功能化的荧光微马达来特异性捕获一个目标RNA分子。RNA微马达可被电场驱动至目标区域并进行精确计数。此外，该方法还能清晰区分目标RNA中的单碱基突变，显示出其在临床诊断和病毒溯源调查方面的巨大潜力。
