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无扩增偏差的序列通用指数扩增反应

Amplification Bias-Free Sequence-Generic Exponential Amplification Reaction.

作者信息

Yan Xinrong, Wang Qingyuan, Yang Peiru, Liu Yuan, Liu Bin, Wang Tian, Qiu Dehui, Wei Shijiong, Chen Desheng, Zhou Jun, Liu Chenghui, Zhang Xiaobo

机构信息

State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, P. R. China.

Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, P. R. China.

出版信息

Anal Chem. 2025 Feb 4;97(4):2308-2317. doi: 10.1021/acs.analchem.4c05633. Epub 2025 Jan 24.

DOI:10.1021/acs.analchem.4c05633
PMID:39856581
Abstract

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.

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优势,但它严重存在序列依赖性扩增偏差的缺点,这主要源于常用反应温度(55°C)下EXPAR模板的二级结构。因此,不同靶序列的检测限(LOD)可能在aM到nM之间有很大差异。在此,我们报告了一种序列通用指数扩增反应(SG-EXPAR),它消除了序列依赖性扩增偏差,并对不同靶标实现了类似的扩增性能,检测限一般低于fM。该检测方法创新性地采用了一种嗜热切口酶,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,我们通过合理修饰锁核酸和优化模板,增加了触发物/模板结合的概率,进一步确保了对各种靶标的高扩增效率。根据这些关键原则,我们开发了一个自动化设计平台,使非专业人员能够为任何所需序列获得最佳的SG-EXPAR模板。通过在无需序列筛选的情况下对1 fM水平的微小RNA、SARS-CoV-2、猴痘病毒和HPV B19进行定量,证明了所提出方法的强大性能。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。

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