EconPapers    
Economics at your fingertips  
 

Engineering a streamlined virus-like particle for programmable tissue-specific gene delivery

Jiabao Han, Hanyu Bai, Fan Li, Ying Zhang, Qi Zhou () and Wei Li ()
Additional contact information
Jiabao Han: Chinese Academy of Sciences
Hanyu Bai: Chinese Academy of Sciences
Fan Li: Chinese Academy of Sciences
Ying Zhang: Chinese Academy of Sciences
Qi Zhou: Chinese Academy of Sciences
Wei Li: Chinese Academy of Sciences

Nature Communications, 2025, vol. 16, issue 1, 1-21

Abstract: Abstract Transient gene delivery vehicles have emerged as crucial tools in biomedicine, among them, virus-like particles (VLPs) stand out for their unique characteristics, yet the limited tropisms hinder their widespread applications. VLPs have potential to broaden their targeting range through the acquisition of programmable tropisms, however, current retrovirus-based VLPs pose engineering challenges due to multiple viral proteins. Here, we streamline the VLP system by customizing a backbone utilizing positive-strand Semliki Forest Virus (SFV) for a programmable VLP vector, minimizing virus-derived composition. The vector accommodates mRNA, protein, or ribonucleoprotein (RNP) cargos, supporting mRNA ranging from 500 bp to 10 kb. Through the engineering of the envelope protein (Env) via rational peptide insertion or pseudotyping with other fusogens, we generate VLP candidates exhibiting enhanced in vivo blood-brain barrier (BBB) penetration, expanded in vitro targeting ranges and the ability to escape neutralizing antibodies (Nab), or muscle-targeting capabilities. The programmable engineering capabilities and customizable tropisms provide the possibility and flexibility to be tailored for diverse treatment strategies in the future.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-64181-9 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-64181-9

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-64181-9

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-10-17
Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-64181-9