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Multi high-throughput approach for highly selective identification of vaccine candidates: the Group A Streptococcus case
Authors:Bensi Giuliano  Mora Marirosa  Tuscano Giovanna  Biagini Massimiliano  Chiarot Emiliano  Bombaci Mauro  Capo Sabrina  Falugi Fabiana  Manetti Andrea G O  Donato Paolo  Swennen Erwin  Gallotta Marilena  Garibaldi Manuela  Pinto Vittoria  Chiappini Nico  Musser James M  Janulczyk Robert  Mariani Massimo  Scarselli Maria  Telford John L  Grifantini Renata  Norais Nathalie  Margarit Immaculada  Grandi Guido
Institution:Novartis Vaccines and Diagnostics, Via Fiorentina 1, 53100 Siena, Italy.
Abstract:We propose an experimental strategy for highly accurate selection of candidates for bacterial vaccines without using in vitro and/or in vivo protection assays. Starting from the observation that efficacious vaccines are constituted by conserved, surface-associated and/or secreted components, the strategy contemplates the parallel application of three high throughput technologies, i.e. mass spectrometry-based proteomics, protein array, and flow-cytometry analysis, to identify this category of proteins, and is based on the assumption that the antigens identified by all three technologies are the protective ones. When we tested this strategy for Group A Streptococcus, we selected a total of 40 proteins, of which only six identified by all three approaches. When the 40 proteins were tested in a mouse model, only six were found to be protective and five of these belonged to the group of antigens in common to the three technologies. Finally, a combination of three protective antigens conferred broad protection against a panel of four different Group A Streptococcus strains. This approach may find general application as an accelerated and highly accurate path to bacterial vaccine discovery.
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