Iterative Vaccine Design in an Era of Emerging Infectious Diseases - serology and murine dataset

This work demonstrates a rapid and responsive pipeline for T-cell-specific multi-target vaccine development that leverages epitope identification, protein folding, and docking to render a collection of viral proteomes into a ranked list of peptide candidates scored for immunogenicity, allele coverage, solubility, and epitope stability in cleavage and processing. After epitope reactiveness was evaluated by microarrays, molecular dynamics simulations were used to assess the epitope's correct binding to the target host MHC. Finally, flow cytometry evaluated T-cell antigen-specific immunogenicity on mice and human peripheral blood mononuclear cells (PBMCs). Most final epitopes could elicit strong T-cell activation with the secretion of IFN-ɣ, TNF-α, or IL-2 – varying by host species and HLA allele. Final candidates were selected by overall scores in a string-of-beads design. This furthers the specific aim of developing vaccines for alphaviruses and the general aim of establishing efficient and tunable processes for vaccine development in a global setting.
Data here was organized by the figure panel on the original manuscript to allow straightforward interpretation. Each folder contains the raw data and the analysis datasheet for serology and mouse experiments, including the original workspace on the statistical software used for data plots. Each folder also contains a plate map or sample ID to allow interpretation of the raw data.