A dual-trigger entropy driven circuit based on competitive hybridization for highly specific enzyme-free detection of single nucleotide polymorphisms†

IF 3.3 3区 化学 Q2 CHEMISTRY, ANALYTICAL Analyst Pub Date : 2025-03-11 DOI:10.1039/D5AN00011D
Sisi Bu, Fang Yang, Tuo Huang, Qianglong Tan, Siyu Yu, Shufen Xiao, Ye Hu, Wenlin Xie, Zhihua Zhou, Yulan Tian and Jian Chen
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Abstract

Single nucleotide polymorphisms (SNPs) play a pivotal role in the detection of major diseases and the breeding of molecular designs. However, current SNP detection methods often rely heavily on expensive proteases, or alternatively, enzyme-free detection methods grapple with limited specificity. Addressing this issue, our study presents an enzyme-free, highly specific, simple, and efficient detection platform. First, we introduced additional base mismatches into the traditional entropy-driven circuit (EDC) reaction to establish a foundational distinction between mutant (MT) and wild-type (WT) sequences. On this basis, we introduced the concept of competitive hybridization and developed a dual-trigger EDC (DEDC) reaction platform, which responded to both wild-type targets (WT) and mutant targets (MT). By strategically leveraging the signals from both WT and MT, we constructed a ratiometric signal output mode, substantially enhancing the discrimination factor between WT and MT and maximizing the specificity of the detection system. Within the DEDC reaction system, the sole driving force is the increase in the system's entropy, with no enzymes involved throughout the entire process, thereby achieving simple and efficient specific detection of SNPs. Notably, MT, previously considered an interference in assays, is repurposed as a trigger signal, making DEDC particularly suitable for the identification of heterozygous samples with low mutational abundances. By analyzing the performance of this platform and using it for genotyping detection of soybean real genome samples, the practical application potential of the CTMSD platform was verified. The CTMSD platform based on EDC reactions has the potential to become a universal biosensing paradigm for future biochemical applications.

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基于竞争杂交的高特异性无酶单核苷酸多态性检测双触发熵驱动电路
单核苷酸多态性(SNPs)在重大疾病的检测和分子设计育种中起着关键作用。然而,目前的SNP检测方法往往严重依赖于昂贵的蛋白酶,或者,无酶检测方法的特异性有限。为了解决这个问题,我们的研究提出了一个无酶、高特异性、简单、高效的检测平台。首先,我们在传统的熵驱动电路(EDC)反应中引入了额外的碱基错配,以建立突变型(MT)和野生型(WT)序列之间的基本区别。在此基础上,我们引入了竞争杂交的概念,并开发了一个双触发EDC反应(DEDC)平台,该平台对野生型靶点(WT)和突变型靶点(MT)都有反应。通过策略性地利用WT和MT的信号,我们构建了一个比率信号输出模式,大大提高了WT和MT之间的区分系数,最大限度地提高了检测系统的特异性。在DEDC反应体系中,驱动力仅为系统熵的增加,整个过程不涉及酶,从而实现了简单高效的snp特异性检测。值得注意的是,MT以前被认为是检测中的干扰,现在被重新用作触发信号,使DEDC特别适合于鉴定具有低突变丰度的杂合样品。通过分析该平台的性能,并将其用于大豆真实基因组样本的基因分型检测,验证了CTMSD平台的实际应用潜力。基于EDC反应的CTMSD平台有潜力成为未来生物化学应用的通用生物传感范例。
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来源期刊
Analyst
Analyst 化学-分析化学
CiteScore
7.80
自引率
4.80%
发文量
636
审稿时长
1.9 months
期刊介绍: "Analyst" journal is the home of premier fundamental discoveries, inventions and applications in the analytical and bioanalytical sciences.
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