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Modified Unit-Mediated Strand Displacement Reactions for Direct Detection of Single Nucleotide Variants in Active Double-Stranded DNA

DNA 计算生物学 遗传学 寡核苷酸 核苷酸 基因 DNA测序 组合化学 化学 生物
作者
Hongyan Yu,Xiaole Han,Weitao Wang,Yangli Zhang,Linguo Xiang,Dan Bai,Li Zhang,Zhi Weng,Ke Lv,Lin Song,Wang Luo,Na Yin,Yaoyi Zhang,Tong Feng,Li Wang,Guoming Xie
出处
期刊:ACS Nano [American Chemical Society]
卷期号:18 (19): 12401-12411 被引量:24
标识
DOI:10.1021/acsnano.4c01511
摘要

Accurate identification of single nucleotide variants (SNVs) in key driver genes holds a significant value for disease diagnosis and treatment. Fluorescent probes exhibit tremendous potential in specific, high-resolution, and rapid detection of SNVs. However, additional steps are required in most post-PCR assays to convert double-stranded DNA (dsDNA) products into single-stranded DNA (ssDNA), enabling them to possess hybridization activity to trigger subsequent reactions. This process not only prolongs the complexity of the experiment but also introduces the risk of losing target information. In this study, we proposed two strategies for enriching active double-stranded DNA, involving PCR based on obstructive groups and cleavable units. Building upon this, we explored the impact of modified units on the strand displacement reaction (SDR) and assessed their discriminatory efficacy for mutations. The results showed that detection of low variant allele frequencies (VAF) as low as 0.1% can be achieved. The proposed strategy allowed orthogonal identification of 45 clinical colorectal cancer tissue samples with 100% specificity, and the results were generally consistent with sequencing results. Compared to existing methods for enriching active targets, our approach offers a more diverse set of enrichment strategies, characterized by the advantage of being simple and fast and preserving original information to the maximum extent. The objective of this study is to offer an effective solution for the swift and facile acquisition of active double-stranded DNA. We anticipate that our work will facilitate the practical applications of SDR based on dsDNA.
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