TRAF6 Specifically Contributes to FcϵRI-mediated Cytokine Production but Not Mast Cell Degranulation
Bibliographic record
Abstract
TRAF6 (tumor necrosis factor-associated factor 6) is an essential adaptor downstream from the tumor necrosis factor (TNF) receptor and Toll-like receptor superfamily members. This molecule is critical for dendritic cell maturation and T cell homeostasis. Here we show that TRAF6 is important in high affinity IgE receptor, FcepsilonRI-mediated mast cell activation. In contrast to dendritic cells and T cells, TRAF6-deficient mast cells matured normally and showed normal IgE-dependent degranulation. Importantly, TRAF6-deficient mast cells showed impaired production of cytokine interleukin-6, CCL-9, interleukin-13, and TNF following FcepsilonRI aggregation. Chromatin immunoprecipitation assay showed decreased NF-kappaB p65 binding to CCL-9 and TNF promoters in TRAF6-deficient mast cells. Antigen and IgE-induced IkappaB phosphorylation and NF-kappaB p65 translocation to the nucleus were diminished in TRAF6-deficient mast cells. NF-kappaB luciferase activity in response to antigen and IgE stimulation was severely impaired in TRAF6-deficient mast cells. In addition, antigen and IgE-induced phosphorylation of mitogen-activated protein kinase p38 and JNK, but not ERK1/2, was significantly reduced in TRAF6-deficient mast cells. These results identified TRAF6 as an important signal transducer in FcepsilonRI-mediated signaling in mast cells. Our findings implicate TRAF6 as a new adaptor/regulator molecule for allergen-mediated inflammation in allergy.
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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) | 0.001 | 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".