Article Dans Une Revue Science Advances Année : 2019

Synthetic self-assembling ADDomer platform for highly efficient vaccination by genetically encoded multiepitope display

Matt Williams
Christopher Woods
  • Fonction : Auteur
  • PersonId : 889879
Gerardo Viedma
Phil Bates

Résumé

Self-assembling virus-like particles represent highly attractive tools for developing next-generation vaccines and protein therapeutics. We created ADDomer, an adenovirus-derived multimeric protein-based self-assembling nanoparticle scaffold engineered to facilitate plug-and-play display of multiple immunogenic epitopes from pathogens. We used cryo-electron microscopy at near-atomic resolution and implemented novel, cost-effective, high-performance cloud computing to reveal architectural features in unprecedented detail. We analyzed ADDomer interaction with components of the immune system and developed a promising first-in-kind ADDomer-based vaccine candidate to combat emerging Chikungunya infectious disease, exemplifying the potential of our approach.

Fichier principal
Vignette du fichier
eaaw2853.full.pdf (757.47 Ko) Télécharger le fichier
Origine Publication financée par une institution
Licence
Loading...

Dates et versions

hal-02333174 , version 1 (28-10-2019)

Licence

Identifiants

Citer

Charles Vragniau, Joshua Bufton, Frédéric Garzoni, Emilie Stermann, Fruzsina Rabi, et al.. Synthetic self-assembling ADDomer platform for highly efficient vaccination by genetically encoded multiepitope display. Science Advances , 2019, 5 (9), pp.eaaw2853. ⟨10.1126/sciadv.aaw2853⟩. ⟨hal-02333174⟩
354 Consultations
306 Téléchargements

Altmetric

Partager

  • More