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A Real-Time, Programmable, and Multiplex Ligation Chain Reaction-MNAzyme Platform for Single-Nucleotide Variant

Jiangyan Zhang1, Jiajia Li1, Yan Wang2

  • 1Key Laboratory of Medicinal Chemistry and Molecular Diagnosis (Hebei University), Ministry of Education, Key Laboratory of Analytical Science and Technology of Hebei Province, College of Chemistry and Materials Science, Hebei University, Baoding 071002, P. R. China.

Analytical Chemistry
|February 17, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel platform for precise single-nucleotide variant (SNV) detection using ligase chain reaction (LCR) and nucleic acid enzyme (MNAzyme) technology. The system offers sensitive, programmable, and multiplexed SNV analysis for molecular research.

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Area of Science:

  • Molecular Biology
  • Biotechnology
  • Genetics

Background:

  • Single-nucleotide variants (SNVs) are crucial in genetic research and diagnostics.
  • Existing SNV detection methods often face limitations in sensitivity, specificity, or multiplexing capabilities.
  • There is a need for advanced platforms for precise and quantitative SNV analysis.

Purpose of the Study:

  • To develop a modular and programmable real-time quantitative detection platform for SNV analysis.
  • To integrate ligase chain reaction (LCR) with multicomponent nucleic acid enzymes (MNAzymes) for enhanced SNV detection.
  • To achieve sensitive, specific, and multiplexed detection of SNVs.

Main Methods:

  • Integration of ligase chain reaction (LCR) with multicomponent nucleic acid enzymes (MNAzymes).
  • Development of a universal MNAzyme-based reporter for real-time quantitative monitoring.
  • Incorporation of glyoxal-caged probes for hot-start LCR and background suppression.
  • Design of programmable target recognition and signal output modules for multiplexing.

Main Results:

  • The LCR-MNAzyme system demonstrated PCR-like real-time quantitative monitoring of SNVs.
  • Achieved a linear detection range from 10 aM to 10 pM with a low detection limit of 5.79 aM.
  • Successfully quantified the JAK2 V617F mutation down to a 0.03% variant allele frequency.
  • Clinical sample analysis showed high agreement with sequencing data.

Conclusions:

  • The developed platform provides a highly sensitive, specific, and multiplexed approach for SNV detection.
  • This modular and programmable system advances quantitative nucleic acid analysis tools.
  • The framework is generalizable for precision molecular research and diagnostics.