An autonomous molecular computer for logical control of gene expression

Area of Science:

• Biomolecular computing
• Molecular engineering
• Systems biology

Background:

• Early research focused on human-operated laboratory-scale biomolecular computers.
• Recent advances include simple, autonomous, programmable molecular-scale computers with molecular input/output.
• These systems enable logical control of biological processes using biological molecules.

Purpose of the Study:

• To describe an autonomous biomolecular computer capable of analyzing messenger RNA (mRNA) species levels in vitro.
• To demonstrate the computer's ability to produce molecules that influence gene expression.
• To explore potential applications in biochemical sensing, genetic engineering, and medical diagnostics.

Main Methods:

• Development of a programmable biomolecular computer with three modules: computation (stochastic molecular automaton), input (mRNA/mutation-regulated software molecules), and output (single-stranded DNA release).
• Operation at high concentrations (trillions per microliter).
• Programming the computer to analyze disease-related mRNA in cancer models (small-cell lung and prostate cancer).

Main Results:

• The biomolecular computer successfully analyzed specific mRNA levels in vitro.
• It produced a single-stranded DNA molecule designed to mimic an anticancer drug.
• Demonstrated proof-of-principle for logical analysis and response based on molecular input.

Conclusions:

• Autonomous biomolecular computers can logically analyze biological information, such as mRNA levels.
• This technology holds promise for in vivo applications including biochemical sensing, genetic engineering, and medical treatment.
• The developed system represents a significant step towards targeted therapeutic interventions and advanced diagnostics.