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Time-resolved protein activation by proximal decaging in living systems

Author

Listed:
  • Jie Wang

    (Peking University
    Peking University)

  • Yuan Liu

    (Peking University)

  • Yanjun Liu

    (Peking University)

  • Siqi Zheng

    (Peking University)

  • Xin Wang

    (Peking University
    Peking University)

  • Jingyi Zhao

    (Peking University
    Peking University)

  • Fan Yang

    (Peking University)

  • Gong Zhang

    (Peking University)

  • Chu Wang

    (Peking University
    Peking University
    Peking University)

  • Peng R. Chen

    (Peking University
    Peking University
    Peking University
    Peking University)

Abstract

A universal gain-of-function approach for selective and temporal control of protein activity in living systems is crucial to understanding dynamic cellular processes. Here we report development of a computationally aided and genetically encoded proximal decaging (hereafter, CAGE-prox) strategy that enables time-resolved activation of a broad range of proteins in living cells and mice. Temporal blockage of protein activity was computationally designed and realized by genetic incorporation of a photo-caged amino acid in proximity to the functional site of the protein, which can be rapidly removed upon decaging, resulting in protein re-activation. We demonstrate the wide applicability of our method on diverse protein families, which enabled orthogonal tuning of cell signalling and immune responses, temporal profiling of proteolytic substrates upon caspase activation as well as the development of protein-based pro-drug therapy. We envision that CAGE-prox will open opportunities for the gain-of-function study of proteins and dynamic biological processes with high precision and temporal resolution.

Suggested Citation

  • Jie Wang & Yuan Liu & Yanjun Liu & Siqi Zheng & Xin Wang & Jingyi Zhao & Fan Yang & Gong Zhang & Chu Wang & Peng R. Chen, 2019. "Time-resolved protein activation by proximal decaging in living systems," Nature, Nature, vol. 569(7757), pages 509-513, May.
  • Handle: RePEc:nat:nature:v:569:y:2019:i:7757:d:10.1038_s41586-019-1188-1
    DOI: 10.1038/s41586-019-1188-1
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    Cited by:

    1. Hongxia Zhao & Wenlong Ding & Jia Zang & Yang Yang & Chao Liu & Linzhen Hu & Yulin Chen & Guanglong Liu & Yu Fang & Ying Yuan & Shixian Lin, 2021. "Directed-evolution of translation system for efficient unnatural amino acids incorporation and generalizable synthetic auxotroph construction," Nature Communications, Nature, vol. 12(1), pages 1-12, December.

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