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PiggyBac CAR-T Engineering: Delivery Strategy Optimization 2026

bioRxiv
Overview
Researchers evaluated three piggyBac transposon delivery methods to optimize the cost-effective manufacturing of CAR-T cells. The study found that a one-plasmid system (ONE) provides the highest gene delivery efficiency, while mRNA-based delivery reduces transgene copy numbers.
In Depth

Key Findings

The study identifies the one-plasmid system (ONE) as the most efficient method for gene delivery in CAR-T cell engineering without enrichment, although this comes at the expense of lower cell viability and higher transgene copy numbers. Conversely, the mRNA transposase approach combined with a DNA donor plasmid (MRNA) reduces transgene copy numbers but results in lower overall efficiency. Notably, the use of autologous feeder enrichment completely overcomes the viability shortcomings of the ONE approach while maintaining high efficiency and transgene copy numbers.

Technical Details

The researchers performed a multi-objective optimization comparing three specific delivery strategies for the piggyBac transposon:

  • CONV: A conventional two-plasmid system.
  • ONE: A helper and donor one-plasmid system.
  • MRNA: mRNA transposase used in combination with a DNA donor plasmid.

Each strategy was evaluated based on three primary metrics: transfection efficiency, cell viability, and transgene copy number.

Background & Context

Chimeric antigen receptor (CAR)-T cell therapy is a revolutionary cancer immunotherapy. However, widespread clinical application is currently limited by obstacles associated with conventional manufacturing strategies, which typically rely on viral vectors to deliver genetic material into host genomes. This study seeks to provide a simpler and more cost-effective alternative by optimizing the piggyBac transposon system.

Significance & Outlook

These results establish a technical foundation for a safer and more efficient manufacturing process for piggyBac-engineered CAR-T cells. By quantifying the trade-offs between efficiency, viability, and copy number across different delivery formats, this research facilitates the selection of optimal methods for future clinical scale-up and further process optimization.

Source: https://www.biorxiv.org/content/10.64898/2026.10.16.758153v1

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