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  3. Engineered poly(A)-surrogates for translational regulation and therapeutic biocomputation in mammalian cells

Engineered poly(A)-surrogates for translational regulation and therapeutic biocomputation in mammalian cells

  • Cell Res. 2024 Jan;34(1):31-46. doi: 10.1038/s41422-023-00896-y.
Jiawei Shao # 1 2 3 4,  Shichao Li # 5,  Xinyuan Qiu # 6,  Jian Jiang # 7 8 9 10,  Lihang Zhang 7 8 9 11,  Pengli Wang 7 8 9,  Yaqing Si 7 8 9 10,  Yuhang Wu 7 8 9 10,  Minghui He 7 8 9 10,  Qiqi Xiong 7 8 9 10,  Liuqi Zhao 7 8 9 5,  Yilin Li 7 8 9 5,  Yuxuan Fan 7 8 9 5,  Mirta Viviani 7 8 9 10,  Yu Fu 7 8 9 10,  Chaohua Wu 7 8 9,  Ting Gao 7 8 9,  Lingyun Zhu 6,  Martin Fussenegger 12 13,  Hui Wang 14,  Mingqi Xie 15 16 17 18
Affiliations

Affiliations

  • 1 International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China. jiaweishao@zju.edu.cn.
  • 2 Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China. jiaweishao@zju.edu.cn.
  • 3 Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China. jiaweishao@zju.edu.cn.
  • 4 Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China. jiaweishao@zju.edu.cn.
  • 5 College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
  • 6 Department of Biology and Chemistry, College of Science, National University of Defense Technology, Changsha, Hunan, China.
  • 7 Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
  • 8 Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China.
  • 9 Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.
  • 10 School of Life Sciences, Fudan University, Shanghai, China.
  • 11 Research Center of Biological Computation, Zhejiang Laboratory, Hangzhou, Zhejiang, China.
  • 12 Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, CH-4058, Basel, Switzerland.
  • 13 Faculty of Science, University of Basel, Mattenstrasse 26, CH-4058, Basel, Switzerland.
  • 14 Research Center of Biological Computation, Zhejiang Laboratory, Hangzhou, Zhejiang, China. hui.wang@zhejianglab.com.
  • 15 Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China. xiemingqi@westlake.edu.cn.
  • 16 Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China. xiemingqi@westlake.edu.cn.
  • 17 Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China. xiemingqi@westlake.edu.cn.
  • 18 School of Engineering, Westlake University, Hangzhou, Zhejiang, China. xiemingqi@westlake.edu.cn.
  • # Contributed equally.
PMID: 38172533 DOI: 10.1038/s41422-023-00896-y
Abstract

Here, we present a gene regulation strategy enabling programmable control over eukaryotic translational initiation. By excising the natural poly-adenylation (poly-A) signal of target genes and replacing it with a synthetic control region harboring RNA-binding protein (RBP)-specific Aptamers, cap-dependent translation is rendered exclusively dependent on synthetic translation initiation factors (STIFs) containing different RBPs engineered to conditionally associate with different eIF4F-binding proteins (eIFBPs). This modular design framework facilitates the engineering of various gene switches and intracellular sensors responding to many user-defined trigger signals of interest, demonstrating tightly controlled, rapid and reversible regulation of transgene expression in mammalian cells as well as compatibility with various clinically applicable delivery routes of in vivo gene therapy. Therapeutic efficacy was demonstrated in two animal models. To exemplify disease treatments that require on-demand drug secretion, we show that a custom-designed gene switch triggered by the FDA-approved drug grazoprevir can effectively control Insulin expression and restore glucose homeostasis in diabetic mice. For diseases that require instantaneous sense-and-response treatment programs, we create highly specific sensors for various subcellularly (mis)localized protein markers (such as cancer-related fusion proteins) and show that translation-based protein sensors can be used either alone or in combination with other cell-state classification strategies to create therapeutic biocomputers driving self-sufficient elimination of tumor cells in mice. This design strategy demonstrates unprecedented flexibility for translational regulation and could form the basis for a novel class of programmable gene therapies in vivo.

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