Modular Scalable Synthetic Gene Circuits for Complex Functions Within Minimal Computational Layers in Human Cells

Area of Science:

• Synthetic Biology
• Genetic Engineering
• Molecular Systems Engineering

Background:

• Engineering complex genetic programs in mammalian cells is challenging.
• Current synthetic gene circuits use many layers, limiting scalability and cellular resources.
• There is a need for scalable and efficient gene circuit designs.

Purpose of the Study:

• To present a modular design framework for engineering scalable gene circuits.
• To reduce the number of computational layers required for complex genetic functions.
• To overcome scalability barriers in synthetic biology.

Main Methods:

• Integration of orthogonal trans-splicing-based AND gates.
• Utilizing native-synthetic hybrid promoters for tunable gene regulation.
• Implementation of synthetic microRNAs for inhibitory logic.

Main Results:

• Engineered complex circuits including a three-input combinatorial logic gate and a full adder.
• Developed a dynamic 3-to-1 multiplexer with a specific overload status output.
• Demonstrated a reduction in computational layers while maintaining circuit functionality.

Conclusions:

• The modular framework enhances scalability in gene circuit engineering.
• This approach expands the applicability of synthetic biology in biomedicine, biotechnology, and fundamental research.
• Minimized layers improve cellular resource utilization and overall system efficiency.