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2025-12-26 From Molecular Scissors to Molecular Sensors: CRISPR/Cas-Powered Point-of-Care Diagnostics

講者照片
講者照片

時間:2025-12-26(五) 15:20 pm

講題:From Molecular Scissors to Molecular Sensors: CRISPR/Cas-Powered Point-of-Care Diagnostics

講者:余靈珊 副教授

服務單位:中山大學 生技醫藥研究所

地點:93406

主持人:姚少凌 教授

 

摘要 :

CRISPR/Cas gene-editing technologies, derived from bacterial adaptive immune systems, provide precise and programmable genome-editing capabilities. However, applying CRISPR/Cas to molecular diagnostics remains in its early stages. In this talk, I will present recent developments in CRISPR-based diagnostic platforms for molecular sensing—with a particular emphasis on point-of-care implementation—and demonstrate our novel design and integration of this technology across multiple platform formats.

Our CRISPR-based detection approach can be broadly translated across a wide spectrum of biosensing platforms: (1) an indium tin oxide–based EGFET biosensor integrating loop-mediated isothermal amplification (LAMP) with CRISPR/Cas12a achieved single-copy detection of hepatitis C virus RNA in serum within 45 minutes across 11 clinical samples; (2) a SlipChip platform combining recombinase polymerase amplification (RPA) with CRISPR/Cas12a and artificial-intelligence–assisted fluorescence analysis discriminated antibiotic-resistant bacteria in clinical specimens with a limit of detection of 10³ colony-forming units per milliliter and a mean average precision of 0.98; (3) a multiplex LAMP-based lateral-flow assay simultaneously detected hepatitis B and C viruses in plasma with detection limits of 10 and 10³ genomic copies per reaction, respectively, showing 100 % concordance with PCR when tested on 100 clinical plasma samples.

Furthermore, we investigated the collateral-cleavage kinetics of CRISPR/Cas systems to extend the applicability of this technology for detecting targets with diverse genomic compositions. For example, to overcome the protospacer adjacent motif (PAM) constraint limiting CRISPR-based single-nucleotide polymorphism detection, we engineered guide RNAs that improved discrimination between wild-type and mutant alleles by 7–8-fold. In summary, our work highlights the potential of CRISPR/Cas integrated across multiple biosensing platforms to deliver rapid, sensitive, and specific detection of pathogens and genetic markers. 

 

學經歷 :

  • PhD, Dept of Life Science, Imperial College London, UK
  • 2020/01~2025/07 國立中山大學 生技醫藥研究所 助理教授