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A Supramolecular Vaccine Platform Based on α-Helical Peptide Nanofibers.
Wu, Yaoying; Norberg, Pamela K; Reap, Elizabeth A; Congdon, Kendra L; Fries, Chelsea N; Kelly, Sean H; Sampson, John H; Conticello, Vincent P; Collier, Joel H.
Afiliação
  • Wu Y; Department of Biomedical Engineering, Duke University, Durham, North Carolina, 27708, United States.
  • Norberg PK; Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina 27710, United States.
  • Reap EA; Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina 27710, United States.
  • Congdon KL; Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina 27710, United States.
  • Fries CN; Department of Biomedical Engineering, Duke University, Durham, North Carolina, 27708, United States.
  • Kelly SH; Department of Biomedical Engineering, Duke University, Durham, North Carolina, 27708, United States.
  • Sampson JH; Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina 27710, United States.
  • Conticello VP; Department of Chemistry, Emory University, Atlanta, Georgia, 30322, United States.
  • Collier JH; Department of Biomedical Engineering, Duke University, Durham, North Carolina, 27708, United States.
ACS Biomater Sci Eng ; 3(12): 3128-3132, 2017 Dec 11.
Article em En | MEDLINE | ID: mdl-30740520
A supramolecular peptide vaccine system was designed in which epitope-bearing peptides self-assemble into elongated nanofibers composed almost entirely of alpha-helical structure. The nanofibers were readily internalized by antigen presenting cells and produced robust antibody, CD4+ T-cell, and CD8+ T-cell responses without supplemental adjuvants in mice. Epitopes studied included a cancer B-cell epitope from the epidermal growth factor receptor class III variant (EGFRvIII), the universal CD4+ T-cell epitope PADRE, and the model CD8+ T-cell epitope SIINFEKL, each of which could be incorporated into supramolecular multi-epitope nanofibers in a modular fashion.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Biomater Sci Eng Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Biomater Sci Eng Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos