Computer-intelligent customized CHA-graphene oxide-DNA circuit for multiplex miRNA detection and accurate cancer cell...

Area of Science:

• Biomedical Engineering
• Molecular Diagnostics
• Cancer Research

Background:

• MicroRNAs (miRNAs) are crucial biomarkers for cancer molecular subtyping.
• Existing DNA circuit-based miRNA detection methods suffer from low efficiency and throughput.
• There is a need for sensitive, high-throughput methods for miRNA detection in complex biological samples.

Purpose of the Study:

• To develop a novel fluorescent biosensor for ultrasensitive, multiplex, and simultaneous detection of specific miRNAs.
• To leverage computer-intelligent customization and graphene oxide for enhanced miRNA detection.
• To enable detection of miRNA-21 and miRNA-30a in both solution and cellular environments.

Main Methods:

• A fluorescent biosensor system incorporating computer-intelligent customization technology was designed.
• Graphene oxide was utilized for fluorescence quenching and as a carrier for intracellular DNA circuit delivery.
• Catalytic hairpin assembly reaction was employed for signal amplification upon target miRNA binding.

Main Results:

• The biosensor achieved ultrasensitive and simultaneous detection of miRNA-21 and miRNA-30a.
• Detection ranges were 20 aM–200 nM within 30 minutes.
• Achieved low detection limits of 12.46 aM for miRNA-21 and 10.64 aM for miRNA-30a.

Conclusions:

• The developed fluorescent biosensor offers significant improvements in sensitivity and throughput for miRNA detection.
• This technology holds promise for early cancer diagnosis, treatment monitoring, and subtype identification.
• The integration of computer-intelligent customization and graphene oxide provides a powerful platform for molecular diagnostics.