Expanding the Design Rules for Discriminating Nucleic Acid Mutations via Mismatch-Exchange

Area of Science:

• Molecular Biology
• Biotechnology
• Genetics

Background:

• Traditional hybridization probes struggle with sequence selectivity, especially against single nucleotide mutations.
• Accurate detection of single nucleotide polymorphisms (SNPs) is crucial for genetic analysis and disease diagnostics.

Purpose of the Study:

• To introduce and validate mismatch-exchange as a new design principle for nucleic acid detection.
• To demonstrate the capability of mismatch-exchange for highly sensitive and robust discrimination of SNPs.
• To showcase the application of mismatch-exchange in analyzing complex nucleic acid targets and clinical samples.

Main Methods:

• Developed a mismatch-exchange strategy by manipulating mismatches in probes and reaction products.
• Applied mismatch-exchange for selective tolerance to synonymous SNPs and OR-gate detection of clustered drug-resistant SNPs.
• Validated the method in clinical settings for hepatitis B virus (HBV) mutant detection.

Main Results:

• Demonstrated highly sensitive and robust discrimination of single nucleotide polymorphisms (SNPs).
• Showcased selective tolerance to synonymous SNPs and OR-gate detection of clustered drug-resistant SNPs.
• Successfully discriminated multiple lamivudine-resistant hepatitis B virus mutants in 65 clinical plasma samples.

Conclusions:

• Mismatch-exchange offers a novel and effective approach for SNP detection, overcoming limitations of traditional methods.
• The strategy is advantageous for analyzing complex targets with multiple nearby SNPs.
• This method has significant potential for clinical nucleic acid testing and diagnostics.