CRISPR/Cas13a-assisted amplification-free miRNA biosensor via dark-field imaging and magnetic gold nanoparticles

Jae-Jun Kim1, Jae-Sang Hong1, Hyunho Kim1

  • 1Center for Systems Biology, Massachusetts General Hospital Boston MA 02114 USA im.hyungsoon@mgh.harvard.edu +1 617 643 5679.

Sensors & Diagnostics
|August 12, 2024
PubMed

Insights

A new CRISPR/Cas13a biosensor combined with magnetic-gold nanoparticles and dark-field imaging offers rapid, specific detection of microRNAs (miRNAs). This simple, point-of-care system shows promise for early cancer diagnosis.

Area of Science:

  • Biotechnology
  • Molecular Biology
  • Nanotechnology

Background:

  • MicroRNAs (miRNAs) are crucial biomarkers for diseases like cancer.
  • Conventional miRNA detection methods face challenges in specificity, speed, and cost.
  • There is a need for rapid, selective, and affordable miRNA detection assays for clinical use.

Purpose of the Study:

  • To develop a novel CRISPR/Cas13a-based biosensing platform for microRNA detection.
  • To utilize magnetic-gold nanoparticle (MGNP) complexes and dark-field (DF) imaging for signal amplification and detection.
  • To establish a rapid, selective, and accurate point-of-care assay for miRNA quantification.

Main Methods:

  • A CRISPR/Cas13a system was employed to recognize specific target miRNAs (miR-21-5p).
  • Magnetic-gold nanoparticle (MGNP) complexes, linked by DNA, served as signal probes.
  • Activated Cas13a cleaved the RNA linker, releasing gold nanoparticles (AuNPs) for detection via portable dark-field imaging.

Main Results:

  • The assay achieved amplification-free detection of miR-21-5p within 30 minutes.
  • A low detection limit of 500 attomoles (25 pM) was demonstrated.
  • Single-base specificity was achieved, highlighting the assay's precision.

Conclusions:

  • The developed CRISPR/Cas13a-assisted MGNP-DF assay provides rapid, selective, and accurate miRNA detection.
  • The system utilizes simple equipment, making it suitable for point-of-care applications.
  • This biosensing approach holds significant potential for early cancer diagnosis.

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