Abstract
Background: Walking along disease-associated protein sequences in the search for specific segments able to induce cellular immune response may direct clinical research towards effective peptide-based vaccines. To this aim, we are studying the targets of the immune response in autoimmune diseases by applying the principle of non-self-discrimination as a driving concept in the identification of the autoimmunogenic peptide sequences. Methods: Computer-assisted proteomic analysis of the autoantigen protein sequence and dotblot/NMR immunoassays are applied to the prediction and subsequent validation of the epitopic sequences. Results: Using the experimental model Pemphigus vulgaris/desmoglein 3, we have identified the antigenic linear determinant recognized by MAb 5H10, a monoclonal antibody raised against the extracellular domain of human desmoglein-3. The computer-assisted search for the Dsg3 epitope was conducted by analyzing the similarity level to the mouse proteome of the human desmoglein protein sequence. Dot-blot immunoassay analyses mapped the epitope within the sequence Dsg349-60 REWVKFAKPCRE, which shows low similarity to the mouse proteome. NMR spectroscopy analyses confirmed the specificity of MAb 5H10 for the predicted epitope. Conclusions: This report promotes the concept that low level of sequence similarity to the host's proteome may modulate peptide epitopicity .
| Original language | English |
|---|---|
| Journal | Journal of Translational Medicine |
| Volume | 2 |
| DOIs | |
| State | Published - Dec 11 2004 |
Keywords
- Computational biology
- Desmoglein 3
- Epitope mapping
- Pemphigus vulgaris
- Proteomics
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