Expression of serum- and glucocorticoid-regulated kinase (<i>sgk</i>) mRNA is up-regulated by GM-CSF and other proinflammatory mediators in human granulocytes
Bibliographic record
Abstract
Stimulation of human peripheral blood granulocytes with the proinflammatory cytokine, granulocyte-macrophage colony-stimulating factor (GM-CSF), increases incorporation of [3H]uridine into RNA. We investigated the nature of the RNA synthesized under these conditions. Using transcription inhibitors, gel electrophoresis, and high-salt precipitation, it was concluded that as much as 90% of this radiolabeled RNA represents polymerase II transcripts. Differential display reverse transcription-polymerase chain reaction was used to identify and clone GM-CSF-responsive mRNAs. Serum- and glucocorticoid-regulated kinase (sgk) mRNA was identified that could be up-regulated 10- to 20-fold by > or =0. 1 ng/mL recombinant human GM-CSF. The 2.6-kb sgk mRNA was induced rapidly (within 30 min) by GM-CSF and remained at high levels for at least 12 h. Up-regulation was blocked completely by the transcription inhibitor, actinomycin D, but not by the translation inhibitor, cycloheximide, nor by the tyrosine kinase inhibitor, genistein. Up-regulation did not appear to be caused by enhanced mRNA stability. Other inflammatory mediators could also increase sgk mRNA levels (GM-CSF > > lipopolysaccharide > fMLP = tumor necrosis factor alpha). The function of sgk in granulocytes remains unknown.
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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 | 0.001 | 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".