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<p>Engineering mammalian cells to execute complex genetic programs remains a significant challenge in synthetic biology. Synthetic gene circuits typically implement sophisticated programs through cascaded computational layers. However, these architectures require numerous orthogonal parts, increase genetic payload, and deplete cellular resources, thereby limiting functionality and scalability. ‏ ‏We present a modular design framework for engineering scalable gene circuits that execute complex functions within fewer computational layers. The platform integrates orthogonal trans-splicing-based AND gates, native-synthetic hybrid promoters for tunable regulation, and synthetic microRNAs that implement inhibitory logic. Using this approach, we engineer complex circuits, including a three-input combinatorial logic gate, a half adder, a full adder, and a dynamic 3-to-1 multiplexer with a dedicated Selector Overload Status output, generated only when both selector inputs are activated. By minimizing the number of computational layers while maintaining functionality, this strategy addresses scalability barriers in gene circuit engineering and expands applicability for biomedicine, biotechnology, and fundamental biology.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月16日

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  • Keren Roas,
  • Ilanit Kovalski,
  • Odelia Mouhadeb,
  • Tamar Aminov,
  • Hadas Weinstein-Marom,
  • Lior Nissim

摘要

Engineering mammalian cells to execute complex genetic programs remains a significant challenge in synthetic biology. Synthetic gene circuits typically implement sophisticated programs through cascaded computational layers. However, these architectures require numerous orthogonal parts, increase genetic payload, and deplete cellular resources, thereby limiting functionality and scalability. ‏ ‏We present a modular design framework for engineering scalable gene circuits that execute complex functions within fewer computational layers. The platform integrates orthogonal trans-splicing-based AND gates, native-synthetic hybrid promoters for tunable regulation, and synthetic microRNAs that implement inhibitory logic. Using this approach, we engineer complex circuits, including a three-input combinatorial logic gate, a half adder, a full adder, and a dynamic 3-to-1 multiplexer with a dedicated Selector Overload Status output, generated only when both selector inputs are activated. By minimizing the number of computational layers while maintaining functionality, this strategy addresses scalability barriers in gene circuit engineering and expands applicability for biomedicine, biotechnology, and fundamental biology.