An optimized microRNA detection platform based on PAM formation-regulated CRISPR/Cas12a activation

Dawei Li1, Pengda Liang1, Shen Ling1

  • 1Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China.

Insights

This study presents a novel CRISPR/Cas12a-based biosensor for microRNA (miRNA) detection. The optimized "PAM Formation" strategy enhances sensitivity for diagnosing diseases like cancer.

Area of Science:

  • Biotechnology
  • Molecular Biology
  • Biosensing

Background:

  • MicroRNAs (miRNAs) are crucial biomarkers for disease diagnosis and prognosis, particularly in cancer.
  • CRISPR/Cas12a systems combined with hybridization chain reaction (HCR) offer a promising avenue for sensitive miRNA detection.

Purpose of the Study:

  • To compare two hairpin DNA design strategies for CRISPR/Cas12a-HCR systems to enhance miRNA detection compatibility and sensitivity.
  • To develop an optimized miRNA detection platform utilizing the most effective HCR strategy.

Main Methods:

  • Comparison of two hairpin DNA designs in HCR for CRISPR/Cas12a compatibility.
  • Optimization of probe sequences and reaction conditions for a miRNA detection platform.
  • Evaluation of the platform's ability to detect different miRNAs, single-stranded DNA, and base mutations.

Main Results:

  • The "PAM Formation" strategy, where PAM sites form after HCR, significantly improved detection sensitivity compared to other designs.
  • An optimized miRNA detection platform was developed, capable of identifying various miRNAs by modifying probe sequences.
  • The platform demonstrated reliability in detecting target miRNA expression levels across different cell lines and distinguishing DNA mutations.

Conclusions:

  • The developed CRISPR/Cas12a-HCR biosensor platform, particularly with the "PAM Formation" strategy, offers high sensitivity and versatility for miRNA detection.
  • This platform shows significant potential for early and accurate clinical diagnosis of cancers and other diseases.
  • The system's ability to detect mutations and differentiate miRNA expression levels underscores its diagnostic utility.