Analysis of cytokine‐producing Th cells from hen egg lysozyme‐immunized mice reveals large numbers specific for “cryptic” peptides and different repertoires among different Th populations
Bibliographic record
Abstract
We employed an optimized ex vivo enzyme-linked immunospot assay for enumerating and defining the peptide specificity of all the hen egg lysozyme (HEL)-specific Th cells producing IL-2, IFN-gamma, or IL-4, in different lymphoid organs of HEL-immunized BALB/c and CBA mice. Previous studies, employing T cell proliferation assays, demonstrated that lymph node cells from BALB/c mice immunized with HEL emulsified in complete Freund's adjuvant (CFA) are specific for HEL(105-120). In contrast, we found that the spleens of BALB/c mice immunized with HEL/CFA, or with heat-aggregated HEL on aluminum hydroxide adjuvant, contain IL-4-producing T cells specific for other HEL peptides, previously characterized as "cryptic", with consistent responses to HEL(11-25). The Th repertoire expressed in different lymphoid organs of the same immunized mouse can be different, as can the repertoire of Th cells producing different cytokines and present in one lymphoid organ. In addition, we found that the repertoire of Th cells generated depends upon the adjuvant employed. Lastly, the summation of responses elicited by a panel of non-overlapping HEL peptides is equal to that elicited by HEL. This high-resolution study thus illustrates that the Th repertoire generated upon HEL immunization depends upon diverse parameters, and that the natural processing of HEL gives rise to more diverse peptides then previously evident from studies employing T cell proliferation assays.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".