化学
DNA
核酸
基因
核酸热力学
单核苷酸多态性
分子生物学
生物化学
核糖核酸
基因型
生物
作者
Yanlei Li,Zhong Feng Gao,Yu Du,Yujie Han,Xiang Ren,Dan Wu,Hongmin Ma,Huangxian Ju,Fan Xia,Qin Wei,Fuan Wang
标识
DOI:10.1021/acs.analchem.5c00529
摘要
Single-nucleotide polymorphisms (SNPs) play a pivotal role in investigations of disease-associated genes and in the genetic analysis of animal and plant varieties. Therefore, the detection of SNPs is essential for advancing biomedical diagnostics and therapeutics. Here, we report a locked nucleic acid (LNA)-enhanced dual signal amplification strategy for high-contrast detecting single-nucleotide polymorphisms (SNPs) in the KRAS_G12C gene. By integrating entropy-driven amplification with catalytic hybridization reaction, the proposed method achieves significant amplification of fluorescence and resonance Rayleigh scattering signals. The incorporation of LNA modification enhances the thermodynamic stability and reaction kinetics of the DNA computing circuit, resulting in superior sensitivity and specificity for SNPs detection. The method exhibits a low detection limit of 0.19 fM and a wide dynamic range from 1 fM to 0.1 nM for the KRAS_G12C gene. Compared to traditional DNA-based circuits, the LNA-modified system demonstrates enhanced discrimination of single-base mismatches and improved signal gain. Moreover, the proposed method was further demonstrated for its potential application in human serum samples. Impressively, this research not only presents a highly sensitive and selective platform for SNPs detection but also demonstrates its potential for molecular-level information encryption. The incorporation of LNA in dual signal amplification significantly elevates the intricacy and robustness of information encryption. Therefore, this study underscores the potential of DNA-based technologies to serve as a bridge between the era of biomedical research and the emerging Internet of things.
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