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Published on: June 23, 2012
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Rapid on-site SNP discrimination across diverse mutational contexts
Jeongmin Lee1, Doeon Sung1, Chang Ha Woo2
1Department of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea.
Biosensors & Bioelectronics
|November 2, 2025
Summary
This study introduces a rapid diagnostic tool for identifying single-nucleotide polymorphism (SNP) mutations in DNA. The technology enables quick, field-deployable SNP detection crucial for infectious disease management and treatment selection.
Area of Science:
- Molecular Biology
- Genetics
- Biotechnology
Background:
- Rapid identification of single-nucleotide polymorphism (SNP) mutations is essential for controlling infectious diseases and guiding treatment decisions.
- Existing diagnostic tools often require specialized equipment and time-consuming processes, limiting field applicability.
Purpose of the Study:
- To develop a novel, rapid, and field-deployable diagnostic technology for discriminating SNP-level mutations in double-stranded DNA (dsDNA).
- To assess the performance and robustness of this technology, including its ability to handle peripheral mutations.
Main Methods:
- A probe ligation-based assay was designed, where probes contain promoter and reporter sequences.
- Ligation triggers the generation of transcripts, enabling SNP detection.
- Results are visualized using lateral flow assay (LFA) strips, requiring no specialized equipment.
Main Results:
- The assay successfully discriminates SNP-level mutations within 20 minutes, even with pre-amplification.
- The technology demonstrated minimal influence from surrounding mismatches, allowing accurate mutation detection in complex sequences.
- Performance was validated using clinical samples of SARS-CoV-2 variants, confirming its effectiveness and mismatch endurance.
Conclusions:
- This ligation-based SNP detection technology offers a rapid, simple, and field-deployable solution for genetic analysis.
- Its straightforward probe design and LFA strip visualization make it accessible for diverse applications, including infectious disease diagnostics.
- The validated performance with clinical samples highlights its potential for real-world use in identifying genetic variations like those in viral variants.
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