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Identification of Viral and Cancer epitopes using peptide:MHC Stability measurements

Authors: Lie-Andersen, Olivia Anna;

Identification of Viral and Cancer epitopes using peptide:MHC Stability measurements

Abstract

The socio-economic threat from pandemics, the most recent example being SARS-CoV-2, as well as the high incidence of cancer in developed countries emphasizes the necessity of having effective anti-viral and anti-cancer therapies. Immune-targeting therapeutics, such as anti-viral vaccines and cancer immunotherapies, are important tools in this aspect. A commonly used way of identifying targets for vaccines or immunotherapy is to assess the affinity of the epitope:HLA complex. The premise being that epitopes with a high binding affinity for HLA molecules are immunogenic. Studies have however showed that the stability of the epitope:HLA complex is a stronger indicator of immunogenicity than affinity alone. The aim of this thesis was to 1) investigate the impact of epitope:HLA complex stability on the immunogenicity of SARS-CoV-2 epitopes and 2) utilize this knowledge on stability and immunogenicity to select an epitope for TCR-like antibodies as a next generation cancer immunotherapy.Here we show that accounting for the stability of epitope:HLA complexes enriches the identification of immunogenic epitopes. This was evident by the induction of strong CD8+ T cell activation in response to stimulation with high stability peptides. These responses were observed for four different HLA-alleles in both SARS-CoV-2 vaccinated and convalescent donors. Deconvolution of the response revealed that the peptides with the highest stability and affinity to A*0101, A*0201 and A*0301 were inducing the response. This was confirmed by tetramer staining of antigen specific CD8+ T cells.The impact of stability in the process of epitope discovery was further elucidated by identifying a novel epitope derived from the cancer testis antigen PRAME. This HLA-A*0201-binding PRAME epitope was discovered using complex-stability assay and the immunogenicity of the epitope was demonstrated by expansion of epitope-specific CD8+ T cells. TCR-LAs were identified using yeast and phage display and generated as scFv-Fc fusion IgGs. The TCR-LAs displayed high affinity and binding specificity to epitope:HLA-A*0201 complex and were shown to induce NK cell-mediated cytotoxicity of HLA-A2+ tumor cells presenting the target epitope.Together, the data presented in this thesis demonstrates that the combination of HLA- affinity and HLA-stability measurements is an effective way of identifying immunogenic epitopes. This strategy can be employed both to viral and cancer antigens and represents a robust tool to identify novel epitopes for immune-targeting therapeutics.

Country
Denmark
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Keywords

SDG 3 - Good Health and Well-being, /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
Average
Average
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