Article ID Journal Published Year Pages File Type
866283 Biosensors and Bioelectronics 2016 7 Pages PDF
Abstract

•A fluorescence-based assay for low-abundance mutation detection based on toehold-mediated strand displacement and nuclease-mediated strand digestion was established.•This assay provides ultra-high discrimination (mean value: 255) between all possible single-nucleotide mutations and their corresponding wild-type sequence for a model DNA target.•The assay is able to differentiate as low as 0.2% single nucleotide mutation of KRAS from the wild-type DNA.•Using experiments and kinetic modeling, we investigate probe properties that obtain additive benefits from both strand displacement and nucleolytic digestion, thus providing guidance for the design of enzyme-mediated nucleic acid assays in the future.

Point mutations have emerged as prominent biomarkers for disease diagnosis, particularly in the case of cancer. Discovering single-nucleotide variants (SNVs) is also of great importance for the identification of single-nucleotide polymorphisms within the population. The competing requirements of thermodynamic stability and specificity in conventional nucleic acid hybridization probes make it challenging to achieve highly precise detection of point mutants. Here, we present a fluorescence-based assay for low-abundance mutation detection based on toehold-mediated strand displacement and nuclease-mediated strand digestion that enables highly precise detection of point mutations. We demonstrate that this combined assay provides 50–1000-fold discrimination (mean value: 255) between all possible single-nucleotide mutations and their corresponding wild-type sequence for a model DNA target. Using experiments and kinetic modeling, we investigate probe properties that obtain additive benefits from both strand displacement and nucleolytic digestion, thus providing guidance for the design of enzyme-mediated nucleic acid assays in the future.

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Related Topics
Physical Sciences and Engineering Chemistry Analytical Chemistry
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