Regulation of STAT-6 activation in ovalbumin stimulated murine splenocytes: mechanisms regulating biphasic induction (57.13)
Bibliographic record
Abstract
Abstract T cell receptor (TCR) stimulation and IL-4 receptor signaling mediate STAT-6 activation and differentiation of naïve T cells into T helper type 2 (Th2) cells. However, the relationship between TCR stimulation and IL-4-induced STAT-6 activation is poorly understood. STAT-6 is tyrosine phosphorylated (pSTAT-6) in response to IL-4 as well as IL-13, and it also regulates gene expression of these Th2 cytokines. Our data demonstrate that pSTAT-6 is induced in a biphasic manner in splenocytes harvested from OVA-sensitized BALB/c mice and restimulated in vitro with OVA. pSTAT-6 was induced within 2-4h, lost at 12-24h and re-induced at 48-96h. IL-4, but not IL-13, followed similar biphasic kinetics. Inhibition of either IL-4 or the IL-4 receptor selectively during the first phase had no effect on secondary pSTAT-6 and production of IL-4 and IL-13. In addition, while biphasic pSTAT-6 was induced in splenocytes treated simultaneously with OVA and exogenous IL-4, stimulation of splenocytes with IL-4 alone did not induce secondary IL-4 production and pSTAT-6. These data demonstrate that the presence of IL-4 at early time points is neither required nor sufficient for IL-4 production and pSTAT-6 during the second phase. IL-4 production and pSTAT-6 during the second induction phase, on the other hand, are dependent upon OVA-induced TCR signaling. Studies are underway to define the cellular sources of IL-4 and pSTAT-6 as well as the cells required for each phase of the induction.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".