Modulation of lipopolysaccharide-induced NF-IL6 activation by protein kinase C-α in a mouse macrophage cell line
Bibliographic record
Abstract
We have previously shown that overexpression of a dominant-negative (DN) mutant of protein kinase C-alpha (PKC-alpha) in RAW 264.7 macrophages inhibited lipopolysaccharide (LPS)-induced IL-1alpha, inducible nitric oxide synthase and cyclooxygenase-2 expression. This inhibition was not related to defective NF-kappaB nuclear translocation, suggesting that PKC-alpha might be involved in the modulation of other LPS-inducible transcription factors. In the present study, we have investigated the impact of PKC-alpha on the activation of AP-1 and NF-IL6 in LPS-treated RAW 264.7 macrophages. Electrophoretic mobility shift assays and luciferase reporter constructs revealed that LPS-induced AP-1 transcriptional activity was normal in DN PKC-alpha-overexpressing RAW 264.7 cells. In contrast, LPS-induced DNA-binding and transcriptional activities of NF-IL6 were inhibited in DN PKC-alpha-overexpressing RAW 264.7 cells and correlated with an impairment of NF-IL6 nuclear translocation. Conversely, overexpression of either wild-type PKC-alpha or a constitutively active PKC-alpha mutant significantly enhanced LPS-stimulated NF-IL6-dependent promoter activity. Finally, LPS-induced expression of two genes regulated by NF-IL6, namely IL-1beta and granulocyte colony-stimulating factor, was impaired in DN PKC-alpha-overexpressing RAW 264.7 cells. Taken together, these results suggest that regulation of NF-IL6 activity constitutes one of the mechanisms by which PKC-alpha modulates LPS-induced gene expression in the mouse macrophage cell line RAW 264.7.
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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) | 0.000 | 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".