Triple-recognition strategy for one-pot detection of single nucleotide variants by aligner-mediated cleavage-triggered exponential amplification

作者全名："Long, Jinyan; Chen, Mengqi; Yu, Yang; Wu, Qiaomin; Yang, Xiaolan"

作者地址："[Long, Jinyan; Chen, Mengqi; Yu, Yang; Wu, Qiaomin; Yang, Xiaolan] Chongqing Med Univ, Coll Lab Med, Key Lab Med Lab Diagnost, Educ Minist, Chongqing 400016, Peoples R China"

通信作者："Yang, XL (通讯作者)，Chongqing Med Univ, Coll Lab Med, Key Lab Med Lab Diagnost, Educ Minist, Chongqing 400016, Peoples R China."

来源：ANALYTICA CHIMICA ACTA

ESI学科分类：CHEMISTRY

WOS号：WOS:001046669900001

JCR分区：Q1

影响因子：5.7

年份：2023

卷号：1276

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：Single nucleotide variant; Aligner-mediated cleavage; Exponential amplification; Triple-recognition

摘要："The detection of single nucleotide variants (SNVs) is important for the diagnosis and treatment of cancer. To date, researchers have devised several methods to detect SNVs, but most of them are complex and timeconsuming. To improve SNVs detection specificity and sensitivity, we developed a triple-recognition strategy, which facilitates aligner-mediated cleavage-triggered exponential amplification (Trec-AMC-EXPAR) for the rapid, specific, and one-pot detection of SNV. Under optimized conditions, Trec-AMC-EXPAR detected two clinically significant SNVs, PIK3CAH1047R and EGFR L858R within 80 min, with a reliable detection of 0.1% SNV in the wide type, which is lower than that of allele-specific PCR (AS-PCR) for detecting SNV. Finally, by spiking into normal human serum samples, mutants mixed with the wild-type targets in different ratios were analyzed, resulting in the relative standard deviation (RSD) of recovery ratios <3%. The findings suggested the potential application of Trec-AMC-EXPAR in clinical disease diagnosis. In summary, the proposed Trec-AMC-EXPAR technique provides a novel fast and convenient method for one-pot detection of SNV with high sensitivity and specificity."

基金机构：National Natural Science Foundation of China [82273900]; Science and Technology Planning Project of Yuz-hong District of Chongqing City [20210132]

基金资助正文："This study was supported by National Natural Science Foundation of China (82273900) , Science and Technology Planning Project of Yuz-hong District of Chongqing City under Grant No.20210132."