Sign in or register to see full information and data.

Publications / Ueda 2020 (Elife)

Overview

Publication

Elife. 2020 Aug 04; 9(NA):NA.

PubMed ID: 32748788

Title

Tailored design of protein nanoparticle scaffolds for multivalent presentation of viral glycoprotein antigens

Authors

Ueda G, Antanasijevic A,Fallas JA, Sheffler W, Copps J, Ellis D, Hutchinson GB, Moyer A, Yasmeen A, Tsybovsky Y, Park YJ, Bick MJ, Sankaran B, Gillespie RA, Brouwer PJ, Zwart PH, Veesler D, Kanekiyo M, Graham BS, Sanders RW, Moore JP, Klasse PJ, Ward AB, King NP, Baker D

Abstract

Multivalent presentation of viral glycoproteins can substantially increase the elicitation of antigen-specific antibodies. To enable a new generation of anti-viral vaccines, we designed self-assembling protein nanoparticles with geometries tailored to present the ectodomains of influenza, HIV, and RSV viral glycoprotein trimers. We first de novo designed trimers tailored for antigen fusion, featuring N-terminal helices positioned to match the C termini of the viral glycoproteins. Trimers that experimentally adopted their designed configurations were incorporated as components of tetrahedral, octahedral, and icosahedral nanoparticles, which were characterized by cryo-electron microscopy and assessed for their ability to present viral glycoproteins. Electron microscopy and antibody binding experiments demonstrated that the designed nanoparticles presented antigenically intact prefusion HIV-1 Env, influenza hemagglutinin, and RSV F trimers in the predicted geometries. This work demonstrates that antigen-displaying protein nanoparticles can be designed from scratch, and provides a systematic way to investigate the influence of antigen presentation geometry on the immune response to vaccination.

With the publicly available data in the CAVD DataSpace we can Learn about studies, products, assays, antibodies, and publications, Find subjects with common characteristics, Plot assay results across studies and years of research, and Compare monoclonal antibodies and their neutralization curves. Data are also accessible via DataSpaceR, our R API.

Related Studies

No related studies