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Author Spotlight: Development of Simplified CRISPR-Based Tests for Rapid Detection of Infectious Diseases
Published on: August 16, 2024
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Chain hybridization-based CRISPR-lateral flow assay enables accurate gene visual detection
Meng Cheng1, Caiwei Tan1, Bo Xiang1
1Department of Laboratory Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Analytica Chimica Acta
|June 13, 2023
Summary
A new CRISPR-CHLFA platform overcomes false positives in gene detection assays. This nucleic acid hybridization method offers accurate, visualized point-of-care testing for infectious diseases.
Area of Science:
- Biotechnology
- Molecular Biology
- Diagnostics
Background:
- CRISPR-Cas gene detection using lateral flow assays (CRISPR-LFA) shows promise for point-of-care testing.
- Conventional CRISPR-LFA methods often yield false-positive results due to reliance on immuno-based test strips.
Purpose of the Study:
- To develop a novel CRISPR-based lateral flow assay (CHLFA) that eliminates false positives.
- To establish a highly accurate and visualized gene detection platform for point-of-care applications.
Main Methods:
- Developed a Chain Hybridization-based Lateral Flow Assay (CHLFA) platform utilizing nucleic acid hybridization.
- Integrated CRISPR-Cas12a or CRISPR-Cas13a with GNP-probe hybridization, bypassing the need for immunoreactions.
- Assayed for target gene detection within 50 minutes, with sensitivity down to 1-10 gene copies.
Main Results:
- The CRISPR-CHLFA system successfully eliminated false-positive results common in conventional CRISPR-LFA.
- Achieved highly accurate visual detection of target-negative samples.
- Demonstrated 100% accuracy in detecting SARS-CoV-2 Omicron variant and Mycobacterium tuberculosis in clinical specimens.
Conclusions:
- The CRISPR-CHLFA platform provides a robust alternative for accurate, visualized gene detection.
- This technology is suitable for developing advanced point-of-care testing (POCT) biosensors.
- CHLFA offers a significant improvement over existing CRISPR-LFA methods for disease diagnostics.

