MEMO: A micro memo sensor detecting microRNA-RISC using an accurate cell-free expression platform

Area of Science:

• Biomolecular engineering
• Molecular diagnostics
• Synthetic biology

Background:

• Circulating microRNAs (miRNAs) are promising prognostic biomarkers for various diseases.
• Current miRNA detection methods face challenges in standardization and robustness.
• Accurate and reliable miRNA detection is crucial for real-time disease status monitoring.

Purpose of the Study:

• To develop an innovative, sensitive, precise, and cost-effective microRNA biosensor.
• To leverage the RNA-induced silencing complex (RISC) for enhanced miRNA detection.
• To create a standardized platform for microRNA analysis.

Main Methods:

• Integration of the RNA-induced silencing complex (RISC) into a cell-free synthetic genetic circuit.
• Utilization of three distinct RNA polymerases for circuit construction.
• Development of a biosensor system for microRNA detection.

Main Results:

• The developed biosensor demonstrates high sensitivity with a limit of detection of 81 pM.
• The system exhibits enhanced detection robustness by protecting miRNAs from degradation and eliminating false interactions.
• The biosensor is cost-effective and suitable for on-demand use.

Conclusions:

• The novel RISC-integrated synthetic genetic circuit offers a robust and sensitive microRNA sensing tool.
• This platform addresses the challenge of establishing standardized microRNA detection.
• The biosensor holds significant potential for prognostic biomarker applications in various diseases.