Phosphorylation of MEKK3 at Threonine 294 Promotes 14-3-3 Association to Inhibit Nuclear Factor κB Activation
Bibliographic record
Abstract
The protein kinase MEKK3 is essential for tumor necrosis factor alpha (TNFalpha)- and lipopolysaccharide-induced activation of nuclear factor kappaB, although the mechanism by which TNF receptor 1 and Toll-like receptors regulate MEKK3 is largely unknown. In this study we have identified MEKK3 Thr(294) as a novel site of phosphorylation that regulates MEKK3 binding with 14-3-3. Phosphorylation of MEKK3 at Thr(294) was observed for both endogenous and ectopically expressed MEKK3. Mutation of Thr(294) to alanine abolished 14-3-3-MEKK3 association and incubation with phosphorylated peptides mimicking Thr(P)(294) competed for 14-3-3 binding. Mutation of Thr(294) did not alter Ser(526) phosphorylation within the activation loop. However, expression of T294A MEKK3 elevated TNFalpha-stimulated NF-kappaB transcriptional activity, suggesting that Thr(294) phosphorylation and 14-3-3 binding negatively regulate MEKK3. Stimulation with TNFalpha or lipopolysaccharide caused a rapid decrease in Thr(294) phosphorylation of endogenous MEKK3 and subsequent loss of 14-3-3 association. Thus, this study identifies a potentially important regulatory step in MEKK3 signaling via dephosphorylation of Thr(294), which reduces 14-3-3 binding correlating with MEKK3 pathway activation.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".