In silico prediction and immunological validation of common HLA‐DRB1‐restricted T cell epitopes of Candida albicans secretory aspartyl proteinase 2
Open Access
- 21 April 2008
- journal article
- Published by Wiley in Microbiology and Immunology
- Vol. 52 (4) , 231-242
Abstract
Sap2 is the most abundant virulence factor expressed during Candida infection, and the principal protein known to induce antibody response during Candida infection in humans. Its role in T‐cell activation however, has not yet been determined. Sequence analysis revealed that Sap2 contains two variable regions: Var1 and Var2. Computational predictions by the Hotspot Hunter program identified that Var1 contains three candidate T‐cell epitopes, whereas Var2 contains four. Thirty‐nine overlapping peptides of Sap2 were then synthesized, and tested for their ability to induce proliferation of PBMC from 12 donors. Peptides P11, P17 and P31 exhibited significantly higher proliferative indices when compared with those of other peptides or controls. P17 and P31 are located in the areas of prediction, while P11 is not. There were other peptides outside the prediction areas that could stimulate PBMC proliferation at low levels. Nevertheless, the proliferative noise caused by such peptides was ruled out by IL‐2 ELISpot analysis. Only P17 and P31 were shown to induce clonal proliferation of IFN‐γ producing lymphocytes, suggesting that these two peptides contain T cell epitopes. P11, which stimulated IL‐2 producing clones, contains a known B‐cell epitope. Interestingly, P17 and P31 elicited both Th1 and Th2 cell responses with significant numbers of IL‐13 secreting clones in response to stimulation. Taken together, the computer‐based T cell epitope prediction method could identify the immunogenic T cell epitopes of C. albicans Sap2 that promiscuously bind to the HLA‐DRB1 supertype.Keywords
This publication has 37 references indexed in Scilit:
- T-Cell Recognition of Paracoccidioides brasiliensis gp43-Derived Peptides in Patients with Paracoccidioidomycosis and Healthy IndividualsClinical and Vaccine Immunology, 2007
- Large-scale analysis of antigenic diversity of T-cell epitopes in dengue virusBMC Bioinformatics, 2006
- Immunomics: discovering new targets for vaccines and therapeuticsDrug Discovery Today, 2006
- Computational methods for prediction of T-cell epitopes—a framework for modelling, testing, and applicationsMethods, 2004
- Discovery of promiscuous HLA-II-restricted T cell epitopes with TEPITOPEMethods, 2004
- Identification of Novel Immunodominant CD4+Th1-Type T-Cell Peptide Epitopes from Herpes Simplex Virus Glycoprotein D That Confer Protective ImmunityJournal of Virology, 2003
- Candida-Specific Antibodies during Experimental Vaginal Candidiasis in MiceInfection and Immunity, 2002
- Hidden Markov Model-Based Prediction of Antigenic Peptides That Interact with MHC Class II MoleculesJournal of Bioscience and Bioengineering, 2002
- Epitope mapping Candida albicans proteinase (SAP 2)FEMS Immunology & Medical Microbiology, 1997
- T cell subsets, epitope mapping, and HLA-restriction in patients with allergic bronchopulmonary aspergillosis.Journal of Clinical Investigation, 1996