Abstract
To identify pathogenic epitopes on human thyroglobulin (hTg), a homodimer of 660 kDa, we have applied a computer-based algorithm to predict potential HLA-DR3-binding peptides and have tested them in DR3-transgenic mice. Of the 39 peptides selected, four stimulated a proliferative response from hTg-primed cells of DR3 + mice, but not DQ8 + mice. Of the four peptides, one, hTg2079, was consistently pathogenic. Thyroiditis was not only produced by adoptive transfer of hTg-primed, hTg2079-activated cells but also by direct immunization with the peptide. These results demonstrate the utility of using this computer-based algorithm with synthetic peptides to help identify pathogenic T cell epitopes on hTg.
| Original language | English |
|---|---|
| Pages (from-to) | 79-85 |
| Number of pages | 7 |
| Journal | Cellular Immunology |
| Volume | 229 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jun 2004 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Free Keywords
- Autoimmune thyroiditis
- DR3-binding peptide
- HLA-DR3
- Thyroglobulin
- Transgene
ASJC Scopus subject areas
- Immunology
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