IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-61230-1.html
   My bibliography  Save this article

Bioengineered nanovesicles for efficient siRNA delivery through ligand-receptor-mediated and enzyme-controlled membrane fusion

Author

Listed:
  • Lele Cui

    (Sichuan University)

  • Yongsheng Cui

    (Sichuan University)

  • Jing Liu

    (Sichuan University)

  • Wei Li

    (Sichuan University)

  • Mengdan Wu

    (Sichuan University)

  • Xiawei Wei

    (Sichuan University)

  • Ying Lai

    (Sichuan University)

  • Peng Mi

    (Sichuan University)

Abstract

A major obstacle in knocking down oncogenes for tumor therapy is the efficient delivery of siRNA into the cytosolic spaces of cancer cells. Here, we genetically bioengineer biomimetic nanovesicles with tumor-recognition and enzyme-controlled membrane fusion functions for efficiently delivering small interfering RNA into cancer cells towards gene silencing tumor therapy. The siRNA@eS-BNVs are formulated by encapsulating siRNA inside the core and coating with genetically engineered HEK293TACE2- cell membranes encoded with functional S protein, which can recognize cancer cells and initiate membrane fusion when triggered by the enzyme. The siRNA@eS-BNVs demonstrate better efficacy for cytosolic siRNA delivery and RNA interference than conventional formulations. By intravenous injection, siRNA@eS-BNVs are highly accumulated in tumors and potently inhibited tumor and lung metastasis by simultaneously silencing the epidermal growth factor receptor gene in vivo. The cancer cell-targeting and enzyme-activatable nanovesicles provide a valuable strategy for effective and precise drug delivery.

Suggested Citation

  • Lele Cui & Yongsheng Cui & Jing Liu & Wei Li & Mengdan Wu & Xiawei Wei & Ying Lai & Peng Mi, 2025. "Bioengineered nanovesicles for efficient siRNA delivery through ligand-receptor-mediated and enzyme-controlled membrane fusion," Nature Communications, Nature, vol. 16(1), pages 1-20, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61230-1
    DOI: 10.1038/s41467-025-61230-1
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-61230-1
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-61230-1?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_s41467-025-61230-1. 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.