Design and Optimization of Isothermal Gene Amplification for Generation of High-Gain Oligonucleotide Products by MicroRNAs.

IF 4.6 Q1 CHEMISTRY, ANALYTICAL
ACS Measurement Science Au Pub Date : 2024-11-08 eCollection Date: 2024-12-18 DOI:10.1021/acsmeasuresciau.4c00063
Jihee Lee, Jueun Han, Yejin Song, Boram Gu, Eunjung Kim
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引用次数: 0

Abstract

Thermal cycling-based quantitative polymerase chain reaction (qPCR) represents the gold standard method for accurate and sensitive nucleic acid quantification in laboratory settings. However, its reliance on costly thermal cyclers limits the implementation of this technique for rapid point-of-care (POC) diagnostics. To address this, isothermal amplification techniques such as rolling circle amplification (RCA) have been developed, offering a simpler alternative that can operate without the need for sophisticated instrumentation. This study focuses on the development and optimization of toehold-mediated RCA (TRCA), which employs a conformationally switchable dumbbell DNA template for the sensitive and selective detection of cancer-associated miRNAs, specifically miR-21. In addition, we developed variants of hyperbranched TRCA (HTRCA), nicking-assisted TRCA (NTRCA), and hyperbranched NTRCA (HNTRCA) to facilitate exponential amplification by enhancing TRCA through the sequential incorporation of reverse primer (Pr) and nicking endonuclease (nE). By conducting a systematic kinetic analysis of the initial rate and end point signals for varying concentrations of key reaction components, we could identify optimal conditions that markedly enhanced the sensitivity and specificity of the TRCA variants. In particular, HNTRCA, which exploits the synergistic effect of Pr and nE, demonstrated an approximately 3000-fold improvement in the detection limit (260 fM) and a wider dynamic range of more than 4 log orders of magnitude compared to TRCA, thereby evidencing its superior performance. Also, we established a mechanistic model for TRCA that includes the roles of Pr and nE in different amplification processes. Model parameters were fitted to the experimental data, and additional simulations were conducted to compare the four amplification methods. Further tests with real biological samples revealed that this technique showed a good correlation with qPCR in quantifying miR-21 expression in various cell lines (0.9510 of Pearson's r), confirming its potential as a robust and rapid tool for nucleic acid detection. Therefore, the simplicity, high sensitivity, and potential for integration with POC diagnostic platforms make the HNTRCA system suitable for field deployment in resource-limited environments.

microrna等温基因扩增高增益寡核苷酸产物的设计与优化。
基于热循环的定量聚合酶链反应(qPCR)代表了在实验室环境中准确和敏感的核酸定量的金标准方法。然而,它对昂贵的热循环器的依赖限制了该技术在快速即时诊断(POC)中的应用。为了解决这个问题,已经开发了等温放大技术,如滚动圈放大(RCA),提供了一种更简单的替代方案,无需复杂的仪器即可操作。本研究的重点是开发和优化脚点介导的RCA (TRCA),它采用构象可切换的哑铃DNA模板来敏感和选择性地检测癌症相关的mirna,特别是miR-21。此外,我们还开发了超支化TRCA (HTRCA)、缺口辅助TRCA (NTRCA)和超支化NTRCA (HNTRCA)的变体,通过反向引物(Pr)和缺口内切酶(nE)的顺序掺入来增强TRCA,从而促进指数扩增。通过对不同浓度的关键反应组分的初始速率和终点信号进行系统的动力学分析,我们可以确定显著提高TRCA变异的敏感性和特异性的最佳条件。特别是,HNTRCA利用了Pr和nE的协同效应,与TRCA相比,其检测限(260 fM)提高了约3000倍,动态范围超过4个对数数量级,从而证明了其优越的性能。此外,我们还建立了包含Pr和nE在不同扩增过程中的作用的TRCA机制模型。将模型参数拟合到实验数据中,并对四种放大方法进行了仿真比较。对真实生物样品的进一步测试表明,该技术在定量miR-21在各种细胞系中的表达方面与qPCR具有良好的相关性(Pearson’s r为0.9510),证实了其作为一种强大而快速的核酸检测工具的潜力。因此,HNTRCA系统的简单性、高灵敏度以及与POC诊断平台集成的潜力使其适合在资源有限的环境中进行现场部署。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Measurement Science Au
ACS Measurement Science Au 化学计量学-
CiteScore
5.20
自引率
0.00%
发文量
0
期刊介绍: ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.
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