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

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.

Automated summary

The detection of single nucleotide variants (SNVs) is crucial for cancer diagnosis and treatment. We developed a triple-recognition strategy, Trec-AMC-EXPAR, which enables rapid, specific, and one-pot detection of SNVs, improving the sensitivity and specificity of SNV detection.