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CRISPR/dCas9-Assisted On-Bead Multiplex Detection (BeadPlex2) for Genetically Modified Crops.

Huimin Wang1, Feiwu Li2, Yuxuan He2

  • 1State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China.

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|April 20, 2026
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Summary
This summary is machine-generated.

Researchers developed BeadPlex2, a novel platform for multiplex nucleic acid detection. This system accurately identifies genetically modified (GM) events in crops like maize and soybean using CRISPR/dCas9 and Raman-encoded magnetic beads.

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Area of Science:

  • Molecular Biology
  • Biotechnology
  • Genetics

Background:

  • Accurate detection of genetically modified (GM) events is crucial for food safety and regulatory compliance.
  • Existing methods like qPCR can be time-consuming and may not be suitable for high-throughput multiplex detection.

Purpose of the Study:

  • To develop a novel on-bead nucleic acid detection platform for accurate and multiplex identification of GM events.
  • To leverage CRISPR/dCas9 and gap-enhanced Raman tag-encoded magnetic beads (MagGERTs) for enhanced specificity and sensitivity.

Main Methods:

  • Constructed five distinct MagGERTs encoded with different Raman reporters (Ras).
  • Conjugated dCas9/single guide RNA (sgRNA) complexes designed for specific GM target genes.
  • Utilized SYBR Green I for fluorescent highlighting of captured double-stranded DNA (dsDNA).
  • Decoded Raman signals from MagGERTs for GM event identification.

Main Results:

  • The BeadPlex2 platform demonstrated high specificity in identifying diverse GM events.
  • Accurate detection of GM maize and soybean seeds was achieved, comparable to qPCR performance.
  • Successful simultaneous detection of multiple target nucleic acids was demonstrated.

Conclusions:

  • The BeadPlex2 platform offers a powerful and accurate strategy for identifying genetically modified organisms (GMOs).
  • This novel approach enables simultaneous detection of multiple nucleic acid targets, advancing GMO detection capabilities.