扩增无偏倚序列-通用指数扩增反应

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Xinrong Yan, Qingyuan Wang, Peiru Yang, Yuan Liu, Bin Liu, Tian Wang, Dehui Qiu, Shijiong Wei, Desheng Chen, Jun Zhou, Chenghui Liu, Xiaobo Zhang
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引用次数: 0

摘要

尽管等温指数扩增反应(EXPAR)在快速检测短核酸方面具有独特的优势,但它严重存在序列依赖性扩增偏倚的缺点,这主要是由于EXPAR模板在常用的反应温度(55℃)下二级结构存在偏倚。因此,不同靶序列的检出限(LOD)从aM到nM可能有很大差异。在这里,我们报告了一个序列通用指数扩增反应(SG-EXPAR),消除了序列依赖的扩增偏倚,并对不同的目标达到了相似的扩增性能,通常是亚fm lod。该分析创新性地采用了一种嗜热性切口酶,使SG-EXPAR能够在更高温度(60-70°C)下高效工作,同时消除模板的二级结构,这是消除扩增偏差的基础。此外,我们通过对锁定的核酸进行合理修饰和模板优化,提高了触发/模板结合的概率,进一步保证了对各种靶点的高扩增效率。根据这些关键原则,我们开发了一个自动化设计平台,允许非专业人员获得任何所需序列的最佳SG-EXPAR模板。通过在1 fM水平上定量microRNA、SARS-CoV-2、猴痘病毒和HPV B19,证明了该方法的稳健性能,而无需进行序列筛选。SG-EXPAR显著扩展了EXPAR的潜在应用,并促进了可靠的即时核酸检测的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Amplification Bias-Free Sequence-Generic Exponential Amplification Reaction

Amplification Bias-Free Sequence-Generic Exponential Amplification Reaction
Despite the unique advantage of the isothermal exponential amplification reaction (EXPAR) for the rapid detection of short nucleic acids, it severely suffers from the drawback of sequence-dependent amplification bias, mainly arising from the secondary structures of the EXPAR template under the commonly used reaction temperature (55 °C). As such, the limits of detection (LOD) for different target sequences may vary considerably from aM to nM. Here we report a sequence-generic exponential amplification reaction (SG-EXPAR) that eliminates sequence-dependent amplification bias and achieves similar amplification performance for different targets with generally sub-fM LODs. The assay innovatively employs a thermophilic nicking enzyme that allows SG-EXPAR to work efficiently at higher temperatures (60–70 °C) while eliminating the secondary structures of the templates, which is the basis for eliminating the amplification bias. Furthermore, we increased the probability of trigger/template binding through rational modification of the locked nucleic acids and template optimization, further ensuring the high amplification efficiency for various targets. According to these critical principles, we have developed an automated design platform that allows nonspecialists to obtain the optimal SG-EXPAR template for any desired sequence. The robust performance of the proposed methodology was demonstrated by quantifying microRNA, SARS-CoV-2, monkeypox virus, and HPV B19 at the 1 fM level without sequence screening. SG-EXPAR significantly expands the potential applications of EXPAR and facilitates the development of reliable point-of-care nucleic acid assays.
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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