Programmable One-Pot Enzymatic Reaction for Direct Fluorescence Detection of Ultralow-Abundance Mutations in the DNA Duplex.

Anal Chem

Beijing National Laboratory for Molecular Sciences, MOE Key Laboratory of Bioorganic Chemistry and Molecular Engineering, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.

Published: May 2021

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Sensitive detection of low-abundance driver mutations may provide valuable information for precise clinical treatment. Compared to next-generation sequencing and droplet digital PCR methods, fluorescent probes show great flexibility in rapid detection of specific mutations with high sensitivity and easily accessible instruments. However, existing approaches with fluorescent probes need an additional step to convert duplex DNA to single-stranded DNA (ssDNA) before the detection step, which increases the time, cost, and risk of loss of low-input target strands. In this work, we attempt to integrate the ssDNA-generation step with the subsequent detection into a programable one-pot reaction by employing lambda exonuclease (λ exo), a versatile nanopore nuclease which exercises different functions on different substrates. The capability of λ exo in discrimination of mismatched bases in 5'- FAM-ended 2 nt-unpaired DNA duplexes was first demonstrated. Specific fluorescent probes were developed for exon 19 E746-A750del and E545K mutations with discrimination factors as high as 8470 and 884, respectively. By mixing the probes and λ exo with the PCR products of cell-free circulating DNA extracted from plasma samples, the reaction was immediately initiated, which allowed sensitive detection of the two types of mutations at an abundance as low as 0.01% within less than 2 h. Compared to existing approaches, the new method has distinct advantages in simplicity, low cost, and rapidity. It provides a convenient tool for companion diagnostic tests and other routine analysis targeting genetic mutations in clinical samples.

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http://dx.doi.org/10.1021/acs.analchem.1c00564DOI Listing

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