Title |
Synthesis and Characterisation of Self‐Assembled and Self‐Adjuvanting Asymmetric Multi‐Epitope Lipopeptides of Ovalbumin
|
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Published in |
Chemistry - A European Journal, November 2014
|
DOI | 10.1002/chem.201404997 |
Pubmed ID | |
Authors |
Sharareh Eskandari, Rachel J. Stephenson, Abdullah Ahmad Fuaad, Simon H. Apte, Denise L. Doolan, Istvan Toth |
Abstract |
Designing a lipopeptide (LP) vaccine with a specific asymmetric arrangement of epitopes may result in an improved display of antigens, increasing host-cell recognition and immunogenicity. This study aimed to synthesise and characterise the physicochemical properties of a library of asymmetric LP-based vaccine candidates that contained multiple CD4(+) and CD8(+) T-cell epitopes from the model protein antigen, ovalbumin. These fully synthetic vaccine candidates were prepared by microwave-assisted solid phase peptide synthesis. The C12 or C16 lipoamino acids were coupled to the N or C terminus of the OVA CD4 peptide epitope. The OVA CD4 LPs and OVA CD8 peptide constructs were then conjugated using azide-alkyne Huisgen cycloaddition to give multivalent synthetic vaccines. Physiochemical characterisation of these vaccines showed a tendency to self-assemble in aqueous media. Changes in lipid length and position induced self-assembly with significant changes to their morphology and secondary structure as shown by transmission electron microscopy and circular dichroism. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 6% |
Unknown | 15 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 38% |
Researcher | 2 | 13% |
Lecturer | 1 | 6% |
Professor | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Other | 2 | 13% |
Unknown | 3 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 6 | 38% |
Agricultural and Biological Sciences | 3 | 19% |
Immunology and Microbiology | 1 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Other | 1 | 6% |
Unknown | 3 | 19% |