Characterization of IFN-γ regulation of the complement factor B gene in macrophages
Bibliographic record
Abstract
Complement factor B (Bf) is involved in the activation of the alternative complement cascade. Bf is induced by IFN-gamma; however, the mechanisms of Bf gene regulation have not been well characterized in general, and not in macrophages specifically. Northern analysis reveals that IFN-gamma induces a dose- and time-dependent increase in Bf mRNA expression in primary macrophages and macrophage cell lines. MH-S cells transfected with reporter constructs containing truncated regions of the Bf promoter reveal that IFN-gamma responsiveness lies between -154 and -53 bp on the Bf promoter. This region of the Bf promoter contains both an IFN-gamma-activation site (GAS) and an interferon-stimulated response element (ISRE). Site-directed mutagenesis of the GAS binding site or the ISRE binding site in this region of the Bf promoter partially inhibits IFN-gamma responsiveness. Mutagenesis of both the GAS and ISRE cis elements totally abrogates IFN-gamma responsiveness of the Bf promoter. Electrophoretic mobility shift assays reveal nuclear binding complexes involving both Bf-GAS and Bf-ISRE oligonucleotide sequences upon IFN-gamma stimulation. In competition assays, both Bf-GAS and Bf-ISRE oligonucleotides, but not mutant Bf-GAS nor mutant Bf-ISRE oligonucleotides, compete for the DNA binding. Supershift analysis reveals that Stat1-GAS and IRF-1-ISRE nuclear binding complexes contribute to induction of Bf by IFN-gamma. Western analysis confirms an IFN-gamma-stimulated increase in tyrosine phosphorylation of Stat1. These findings suggest that both GAS and ISRE cis binding sites have an additive effect on IFN-gamma-stimulated Bf gene expression and that both are required for full expression of Bf by IFN-gamma. Stat1 and IRF-1 take part in IFN-gamma-stimulated Bf gene induction in macrophages through their respective cis binding elements.
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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) | 0.001 | 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".