An endoribonuclease-based feedforward controller for decoupling resource-limited genetic modules in mammalian cells

Area of Science:

• Synthetic Biology
• Genetic Engineering
• Biotechnology

Background:

• Engineered genetic devices in synthetic biology often lack modularity, leading to unpredictable behavior.
• Resource loading, affecting transcriptional and translational machinery, is a key factor causing this lack of context-independent gene expression.
• This coupling among genes hinders the reliable application of genetic devices in healthcare and biotechnology.

Purpose of the Study:

• To quantify the impact of resource loading on engineered mammalian genetic systems.
• To develop a novel feedforward controller for adaptive gene expression control.
• To achieve predictable and robust gene expression independent of cellular context.

Main Methods:

• Quantification of resource loading effects in mammalian genetic systems.
• Development of an endoribonuclease-based feedforward controller.
• Testing controller portability and tunability across different cell lines.

Main Results:

• The developed endoribonuclease-based feedforward controller effectively adapts gene expression levels to significant resource loading.
• Near-perfect adaptation is achieved due to high production and catalytic rates of the endoribonuclease.
• The controller demonstrates portability across cell lines and enables predictable tuning of its function.

Conclusions:

• The novel controller provides a general-purpose solution for predictable, robust, and context-independent gene expression control.
• This advancement addresses a critical challenge in synthetic biology, enhancing the reliability of genetic devices.
• The findings pave the way for more sophisticated applications of synthetic biology in biotechnology and healthcare.