Plug-and-Play Competitive Hairpin Conversion Module Enables Enzyme-Free High-Resolution Discrimination of Single Nucleotide Polymorphisms

The accuracy of single-nucleotide polymorphism (SNP) detection in long sequences is fundamentally constrained by the minuscule thermodynamic differences arising from single-base mismatches, wherein the overall probe binding energy frequently masks single-base-discrimination signals. Here, we develop a plug-and-play competitive hairpin conversion module (CHCM) based on strand-competitive hybridization and toehold-mediated strand displacement. CHCM incorporates two structured hairpin probes (H1 and H2) that specifically recognize wild-type and mutant alleles, respectively. Through thermodynamic competition triggered by single-base variations, the system precisely modulates probe-target binding stability, directing the formation of differential DNA assemblies that convert single-nucleotide information into detectable sequence signals. Critically, CHCM discriminates heterozygous samples with 0.1% mutation abundance in long-sequence backgrounds using only conventional fluorescent probes without enzymatic assistance. Furthermore, CHCM exhibits exceptional technical compatibility: it seamlessly integrates with upstream PCR amplification or downstream catalytic hairpin assembly (CHA) signal amplification while sustaining robust performance. Successful SNP genotyping in soybean leaf genomic DNA validates its practical utility. This work delivers a high-resolution, cost-effective solution for SNP detection in complex matrices and establishes a scalable modular framework for dynamic nucleic acid probe design.

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Publication Details

Journal
Analytical Chemistry
Published
2025-10-14
DOI
https://doi.org/10.1021/acs.analchem.5c04901
Citations
2
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
1.61
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article

Plug-and-Play Competitive Hairpin Conversion Module Enables Enzyme-Free High-Resolution Discrimination of Single Nucleotide Polymorphisms

Jian Chen, Zhou Wang, Yu Sheng, Fang Yang et al.
2 citations
Analytical Chemistry
Advanced biosensing and bioanalysis techniques
1.61
article

Plug-and-Play Competitive Hairpin Conversion Module Enables Enzyme-Free High-Resolution Discrimination of Single Nucleotide Polymorphisms

Jian Chen, Zhou Wang, Yu Sheng, Fang Yang, Xiao Liu, Jing Ye, Xiang Wang, Diming Zhang, Yunshan Zhang, Xianzhong Feng
article en
2 citations

Abstract

The accuracy of single-nucleotide polymorphism (SNP) detection in long sequences is fundamentally constrained by the minuscule thermodynamic differences arising from single-base mismatches, wherein the overall probe binding energy frequently masks single-base-discrimination signals. Here, we develop a plug-and-play competitive hairpin conversion module (CHCM) based on strand-competitive hybridization and toehold-mediated strand displacement. CHCM incorporates two structured hairpin probes (H1 and H2) that specifically recognize wild-type and mutant alleles, respectively. Through thermodynamic competition triggered by single-base variations, the system precisely modulates probe-target binding stability, directing the formation of differential DNA assemblies that convert single-nucleotide information into detectable sequence signals. Critically, CHCM discriminates heterozygous samples with 0.1% mutation abundance in long-sequence backgrounds using only conventional fluorescent probes without enzymatic assistance. Furthermore, CHCM exhibits exceptional technical compatibility: it seamlessly integrates with upstream PCR amplification or downstream catalytic hairpin assembly (CHA) signal amplification while sustaining robust performance. Successful SNP genotyping in soybean leaf genomic DNA validates its practical utility. This work delivers a high-resolution, cost-effective solution for SNP detection in complex matrices and establishes a scalable modular framework for dynamic nucleic acid probe design.

Analytical ChemistryVol. 97(42)
Hunan University of Science and Technology (CN), Tianjin University (CN), Chinese Academy of Sciences (CN), Northeast Institute of Geography and Agroecology (CN), Institute of Soil and Water Conservation (CN), Institute for Advanced Study (DE), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 14%
Advanced biosensing and bioanalysis techniques
1.61
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