An allosteric DNAzyme-Based modular system for dynamic computation and sensitive MicroRNA detection

Area of Science:

• Biochemistry
• Molecular Biology
• Biotechnology

Background:

• Circulating microRNAs (miRNAs) are valuable biomarkers, but their analysis faces challenges due to low abundance and sequence similarity.
• Existing DNAzyme and entropy-driven catalysis (EDC) methods for nucleic acid sensing often separate signal amplification and molecular computation.
• There is a need for integrated systems that combine sensitive miRNA detection with sophisticated molecular information processing.

Purpose of the Study:

• To design and develop an allosterically regulated DNAzyme platform for integrated miRNA sensing and molecular computation.
• To create a biosensor that overcomes limitations of existing miRNA analysis methods.
• To enable programmable nucleic acid systems for combined biomarker recognition and information processing.

Main Methods:

• Developed an allosteric DNAzyme platform integrating sensing and computation modules.
• Employed entropy-driven catalysis (EDC) coupled with DNAzyme-mediated cleavage for signal amplification.
• Implemented molecular logic gates (AND, thresholding, subtraction) for signal processing.

Main Results:

• The biosensor demonstrated a linear response for miRNA-10b detection from 50 pM to 5 nM, with a 30 pM limit of detection.
• The system operated isothermally without exogenous protein enzymes.
• The assay successfully distinguished target miRNA from single-base mismatched and non-target sequences.

Conclusions:

• This work successfully links EDC-based amplification with allosteric DNAzyme computation.
• The developed platform offers a programmable strategy for nucleic acid systems.
• This approach enhances biomarker recognition and molecular information processing capabilities.