Mechanisms of H4/ICOS costimulation: effects on proximal TCR signals and MAP kinase pathways
Bibliographic record
Abstract
H4/ICOS is a costimulatory molecule related to CD28. Its effects on early TCR signals have been analyzed in mouse CD4(+) Th2 cells, expressing H4/ICOS at higher levels than Th1 clones. Anti-H4/ICOS antibodies strongly enhanced CD3-mediated tyrosine phosphorylation of ZAP-70, zeta, or Vav, as well as extracellular signal-regulated kinase (ERK), Jun N-terminal kinase (JNK) and p38 MAP kinase activation in these cells. The association of phosphoinositide 3-kinase (PI-3K) to H4/ICOS was enhanced by H4/ICOS cross-linking, and PI-3K inhibitors inhibited ERK and JNK activation and IL-4/IL-10 secretion, but not p38 MAP kinase or ZAP-70 activation. H4/ICOS-mediated activation of JNK, but not ERK or p38, is partially dependent on the expression of CD4 by the cells, whereas H4/ICOS costimulation is partially independent on CD28 expression. Cytochalasin D, an inhibitor of actin polymerization, inhibited ZAP-70, MAP kinase activation, or IL-4/IL-10 secretion. Neither cyclosporin A nor inhibitors of PKC produced detectable inhibition of ZAP-70 phosphorylation or MAP kinase activation in these Th2 cells. Cyclosporin A strongly inhibited IL-4, but not IL-10 secretion. ERK or JNKinhibitors partially inhibited IL-4 and IL-10 secretion, while PKC or p38 inhibitors had no significant effects on IL-4 or IL-10 secretion. Taken together, our data show clear similarities of costimulation mechanisms between H4/ICOS and CD28 during the early steps of TCR activation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".