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Customizing cellular signal processing by synthetic multi-level regulatory circuits

Author

Listed:
  • Yuanli Gao

    (Zhejiang University
    University of Edinburgh)

  • Lei Wang

    (Westlake University)

  • Baojun Wang

    (Zhejiang University
    Research Center for Biological Computation, Zhejiang Lab)

Abstract

As synthetic biology permeates society, the signal processing circuits in engineered living systems must be customized to meet practical demands. Towards this mission, novel regulatory mechanisms and genetic circuits with unprecedented complexity have been implemented over the past decade. These regulatory mechanisms, such as transcription and translation control, could be integrated into hybrid circuits termed “multi-level circuits”. The multi-level circuit design will tremendously benefit the current genetic circuit design paradigm, from modifying basic circuit dynamics to facilitating real-world applications, unleashing our capabilities to customize cellular signal processing and address global challenges through synthetic biology.

Suggested Citation

  • Yuanli Gao & Lei Wang & Baojun Wang, 2023. "Customizing cellular signal processing by synthetic multi-level regulatory circuits," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-44256-1
    DOI: 10.1038/s41467-023-44256-1
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