five

Ubi-tagged vaccine conjugates T cell activation assays

收藏
DataCite Commons2025-06-06 更新2025-04-16 收录
下载链接:
https://data.ru.nl/collections/ru/rumc/ubitag_t0000274a_dsc_393
下载链接
链接失效反馈
官方服务:
资源简介:
This data collection contains the raw data collected at the RadboudUMC of the associated open access publication "Site-directed multivalent conjugation of antibodies to ubiquitinated payloads". The DOI is provided in the associated publication field. This dataset contains the raw data for the main figures 4-6. For the raw data of the other figures, please refer to m.verdoes1@lumc.nl to obtain the data generated at the LUMC. A short overview of the publication: this work introduces the novel chemoenzymatic conjugation technique ubi-tagging, which utilizes the ubiquitination machinery in vitro to site-specifically conjugate ubiquitin-tagged molecules. We demonstrated the successful conjugation of antibodies, antibody fragments, nanobodies, peptides, and small molecules using ubi-tagging. Furthermore, we applied this technology to synthesize a DC-targeted antibody fragment-antigen conjugate and characterized its efficacy. A significant increase in ex vivo and in vivo T cell activation induced by the ubi-tagged vaccine is observed in comparison to vaccines lacking the ubiquitin. We partly explain this effect by demonstrating that ubi-tagged vaccines achieve higher uptake in CD11c+ splenocytes in vivo compared to analogues prepared by sortase-mediated conjugation. In addition, we hypothesize the contribution of alternative intracellular routing and processing by the ubiquitin containing vaccines to explain the increased efficacy ex vivo. Lastly, we utilized ubi-tagging to prepare a library of notoriously hydrophobic MHC I epitopes conjugated to a DC-targeting nanobody. We demonstrated ex vivo efficacy for one of the clinically relevant epitopes using human primary cells as proof-of-concept for clinical translation.
提供机构:
Radboud University
创建时间:
2025-01-06
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作