MHC Class II immunoproteomic analysis of Chlamydia trachomatis and C. muridarum infected murine dendritic cells reveals overlapping immunodominant epitopes (106.7)
Bibliographic record
Abstract
Abstract Protective immunity to Chlamydia is T cell-mediated, requiring MHC class II presented antigens. Immunodominant T cell antigens are potential human Chlamydia vaccine candidates. An immunoproteomic approach was undertaken in which Chlamydia-derived peptides presented by MHC class II molecules on the surface of infected murine dendritic cells (DCs) were identified by tandem mass spectrometry. DCs from both Balb/c and C57BL/6 mice were infected with C. muridarum and DCs from C57BL/6 were infected with C. trachomatis and C. muridarum. DCs from Balb/c infected with C. muridarum yielded 14 MHC class II binding peptides from 11 different C. muridarum proteins. Only one of the 11 proteins was shared in common with 16 C. muridarum proteins that generated MHC class II binding peptides using DCs from C57BL/6 mice. However, C57BL/6 DCs infected with C. trachomatis serovar D yielded 60 MHC class II binding peptides derived from 27 proteins, 10 of which were shared between the C. muridarum and C. trachomatis proteome. Among the 10 overlapping proteins six were tested for protective immunity and all conferred protection in mice against C. muridarum genital tract infection using DDA/MPL adjuvant. Three of the protective proteins belonged to the polymorphic membrane family of proteins, which generated MHC binding epitopes at distinct sequences within the proteins. We conclude that T cell immunodominance is determined by both MHC allelic selection and inherent properties of pathogen proteins.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".