Synthetic control systems for high performance gene expression in mammalian cells

Area of Science:

• Synthetic biology
• Genetic engineering
• Biotechnology

Background:

• Tunable gene expression is crucial for biology and biotechnology.
• Current induction systems face challenges like dosage sensitivity, variable plasmid uptake, and high cellular resource consumption.

Purpose of the Study:

• To introduce a novel family of gene expression control systems with enhanced performance and robustness.
• To address limitations of existing induction systems in terms of predictability and resource utilization.

Main Methods:

• Design and implementation of three novel genetic circuits: incoherent feedforward, negative feedback, and a hybrid circuit.
• Evaluation of circuit performance in CHO cells for protein manufacturing and human-induced pluripotent stem cells.

Main Results:

• The incoherent feedforward circuit demonstrated tunability and robustness to plasmid uptake variations.
• The negative feedback circuit reduced cellular burden and improved robustness to transactivator dosage.
• The hybrid circuit combined benefits of both, leading to up to a 2.6-fold yield improvement in CHO cells and increased viability in iPSCs.

Conclusions:

• Novel genetic control systems offer significant performance enhancements over standard methods.
• The developed circuits provide tunable, robust gene expression crucial for demanding applications in cell engineering and biomanufacturing.