Stem cell factor induces AP-1-dependent mast cell IL-6 production via MAPK kinase 3 activity
Bibliographic record
Abstract
Mast cells are critical immune effectors abundant in tissues interfacing with the environment and have major roles in allergen-induced inflammation and host responses to infection. SCF is a regulator of mast cell function and growth. However, the critical mechanisms in SCF-directed events remain incompletely defined. Here, we have investigated the role of MKK3 in mast cell SCF signaling-dependent functions by using BMMCs from MKK3-deficient mice. MKK3 was phosphorylated rapidly and persistently following SCF-induced activation and contributed to mast cell proliferation but not survival or migration in response to SCF. Analysis of SCF-induced mast cell mediator secretion demonstrated that IL-6 production is specifically dependent on MKK3 signals, both independently and in concert with IgE. Analysis of SCF-induced signaling showed that sustained p38 phosphorylation was impaired in MKK3-deficient mast cells, where as early JNK and IκBα activation were enhanced. Notably, SCF-inducible expression and activation of c-Jun, a component of the AP-1 transcription factor, was significantly dependent on MKK3. Accordingly, AP-1 DNA-binding activity and interaction with the IL6 gene promoter was markedly impaired in MKK3-deficient mast cells, whereas transcription factors of the Egr family, NF-κB, and NFAT retained near-full activity. These results designate MKK3 as a novel, positive regulator of SCF-induced mast cell proliferation and a critical signaling protein for AP-1-dependent IL-6 production.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 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".