A generalizable approach for programming protease-responsive conformationally inhibited artificial transcriptional factors
Yinxia Liu,
Lingyun Zhao,
Jinshan Long,
Zhenye Huang,
Ying Long,
Jianjun He () and
Jian-Hui Jiang ()
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Yinxia Liu: Hunan University
Lingyun Zhao: Hunan University
Jinshan Long: Hunan University
Zhenye Huang: Hunan University
Ying Long: Hunan University
Jianjun He: Hunan University
Jian-Hui Jiang: Hunan University
Nature Communications, 2025, vol. 16, issue 1, 1-14
Abstract:
Abstract Synthetic genetic circuits that harness programmable protein modules and artificial transcription factors (ATF) to devise event-triggerable cascaded pathways represent an essential class of tools for studying cell biology. Fine-tuning the general structural functionality of ATFs is important for constructing orthogonal and composable transcriptional regulators. Here, we report the design of a protease-responsive conformationally inhibited system (PRCIS). By intramolecularly linking the free DNA-binding domains of ATF to confined dimerized regions, the transcriptional binding is conformationally inactivated. The function of DNA binding is reinstated upon proteolytic cleavage of linkages, activating the downstream gene expressions. The versatility of PRCIS design is demonstrated through its adaptability to various ATFs and proteases, showcasing high activation ratios and specificity. Furthermore, the development of PRCIS-based triple-orthogonal protease-responsive and dual-orthogonal chemical-inducible platforms and Boolean logic operations are elaborated in this paper, providing a generalizable design for synthetic biology.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-59828-6
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DOI: 10.1038/s41467-025-59828-6
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