Engineered Norovirus-Derived Nanoparticles as a Plug-and-Play Cancer Vaccine Platform
Authors:
- 13 February 2023
- journal article
- research article
- Published by American Chemical Society (ACS) in ACS Nano
- Vol. 17 (4) , 3412-3429
Abstract
In recent years, virus-derived self-assembled protein nanoparticles (NPs) have emerged as attractive antigen delivery platforms for developing both preventive and therapeutic vaccines. In this study, we exploited the genetically engineered Norovirus S domain (Nov-S) with SpyCatcher003 fused to the C-terminus to develop a robust, modular, and versatile NP-based carrier platform (Nov-S-Catcher003). The NPs can be conveniently armed in a plug-and-play pattern with SpyTag003-linked antigens. Nov-S-Catcher003 was efficiently expressed in Escherichia coli and self-assembled into highly uniform NPs with a purified protein yield of 97.8 mg/L. The NPs presented high stability at different maintained temperatures and after undergoing differing numbers of freeze-thaw cycles. Tumor vaccine candidates were easily obtained by modifying Nov-S-Catcher003 NPs with SpyTag003-linked tumor antigens. Nov-S-Catcher003-antigen NPs significantly promoted the maturation of bone marrow-derived dendritic cells in vitro and were capable of efficiently migrating to lymph nodes in vivo. In TC-1 and B16F10 tumor-bearing mice, the subcutaneous immunization of NPs elicited robust tumor-specific T-cell immunity, reshaped the tumor microenvironment, and inhibited tumor growth. In the TC-1 model, the NPs even completely abolished established tumors. In conclusion, the Nov-S-Catcher003 system is a promising delivery platform for facilitating the development of NP-based cancer vaccines.Keywords
Funding Information
- Yunnan Provincial Science and Technology Department (2019FB045, 2019FD081, 202002AA100009, 202105AC160019, 202201AS070061, 202201AT070238)
- Chinese Academy of Medical Sciences (2021-I2 M-1-043)
- National Natural Science Foundation of China (82073371)
- Yunnan High level Health and Technical Personnel Project (L-2017015)
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