IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-62050-z.html
   My bibliography  Save this article

De novo designed protein guiding targeted protein degradation

Author

Listed:
  • Zhendong Li

    (Jiangnan University)

  • Gan Qiao

    (Southwest Medical University)

  • Xianghe Wang

    (Jiangnan University)

  • Ming Wang

    (Jiangnan University)

  • Jinyu Cheng

    (Jiangnan University)

  • Guipeng Hu

    (Jiangnan University)

  • Xiaomin Li

    (Jiangnan University)

  • Jing Wu

    (Jiangnan University)

  • Jia Liu

    (Jiangnan University)

  • Cong Gao

    (Jiangnan University)

  • Liming Liu

    (Jiangnan University)

Abstract

Targeted protein degradation is a powerful tool for biological research, cell therapy, and synthetic biology. However, conventional methods often depend on pre-fused degrons or chemical degraders, limiting their wider applications. Here we develop a guided protein labeling and degradation system (GPlad) in Escherichia coli, using de novo designed guide proteins and arginine kinase (McsB) for precise degradation of various proteins, including fluorescent proteins, metabolic enzymes, and human proteins. We expand GPlad into versatile tools such as antiGPlad, OptoGPlad, and GPTAC, enabling reversible inhibition, optogenetic regulation, and biological chimerization. The combination of GPlad and antiGPlad allows for programmable circuit construction, including ON/OFF switches, signal amplifiers, and oscillators. OptoGPlad-mediated degradation of MutH accelerates E. coli evolution under protocatechuic acid stress, reducing the required generations from 220 to 100. GPTAC-mediated degradation of AroE enhanced the titer of 3-dehydroshikimic acid to 92.6 g/L, a 23.8% improvement over the conventional CRISPR interference method. We provide a tunable, plug-and-play strategy for straightforward protein degradation without the need for pre-fusion, with substantial implications for synthetic biology and metabolic engineering.

Suggested Citation

  • Zhendong Li & Gan Qiao & Xianghe Wang & Ming Wang & Jinyu Cheng & Guipeng Hu & Xiaomin Li & Jing Wu & Jia Liu & Cong Gao & Liming Liu, 2025. "De novo designed protein guiding targeted protein degradation," Nature Communications, Nature, vol. 16(1), pages 1-18, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-62050-z
    DOI: 10.1038/s41467-025-62050-z
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-62050-z
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-62050-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-62050-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.