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Properties of MHC Class I Presented Peptides That Enhance Immunogenicity

PLoS Computational Biology · 2013 · Vol. 9(10) · pp. e1003266–e1003266
Jorg J. A. CalisMatt MaybenoJason GreenbaumDaniela WeiskopfAruna Dharshan De SilvaAlessandro SetteCan KeşmirBjoern Peters

Abstract

T-cells have to recognize peptides presented on MHC molecules to be activated and elicit their effector functions. Several studies demonstrate that some peptides are more immunogenic than others and therefore more likely to be T-cell epitopes. We set out to determine which properties cause such differences in immunogenicity. To this end, we collected and analyzed a large set of data describing the immunogenicity of peptides presented on various MHC-I molecules. Two main conclusions could be drawn from this analysis: First, in line with previous observations, we showed that positions P4-6 of a presented peptide are more important for immunogenicity. Second, some amino acids, especially those with large and aromatic side chains, are associated with immunogenicity. This information was combined into a simple model that was used to demonstrate that immunogenicity is, to a certain extent, predictable. This model (made available at http://tools.iedb.org/immunogenicity/) was validated with data from two independent epitope discovery studies. Interestingly, with this model we could show that T-cells are equipped to better recognize viral than human (self) peptides. After the past successful elucidation of different steps in the MHC-I presentation pathway, the identification of variables that influence immunogenicity will be an important next step in the investigation of T-cell epitopes and our understanding of cellular immune responses.

vaccines and immunoinformatics approachesImmunotherapy and Immune ResponsesT-cell and B-cell ImmunologyImmunogenicityEpitopeMajor histocompatibility complexComputational biologyMHC class IBiologyImmune systemAntigenImmunology

MeSH terms

Amino Acid SequenceAnimalsEpitopesAntigens, ViralHumansPeptidesT-LymphocytesHistocompatibility Antigens Class IModels, ImmunologicalDatabases, ProteinMice

Funding

  • Nederlandse Organisatie voor Wetenschappelijk Onderzoek
  • National Institutes of Health
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References
Statistical significance for genomewide studies
Proceedings of the National Academy of Sciences · 2003 · 10,009 citations
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