Cloning and Promoter Analysis of the Chicken Interferon Regulatory Factor-3 Gene
Bibliographic record
Abstract
Interferon regulatory factors (IRFs) are a family of DNA-binding proteins involved in mediating the cellular response to interferons (IFNs) and viral infection. Although extensively studied in mammals, IRFs of other vertebrates have been less well characterized. Previously, we cloned chicken interferon regulatory factor-3 (chIRF-3) mRNA, which is rapidly and transiently induced by double-stranded (ds)RNA. The chIRF-3 mRNA encodes a protein distinct from any known mammalian IRF. Here, we show that chIRF-3 is activated additively by type I and type II IFNs. To delineate the sequence elements required to regulate chIRF-3 expression, we cloned chlRF-3 and 0.48 kb of 5' flanking sequence. Computer analysis of the proximal promoter revealed three putative binding sites for nuclear factor (NF)-kappaB, two overlapping interferon-stimulated response elements (ISREs), and an interferon gamma activating sequence (GAS). The presence of both GAS and ISRE consensus sequences in the chIRF-3 promoter is unique among IRF family members. Both type I and II IFNs, as well as dsRNA and IRF-1, trans-activate the promoter in short-term transfection experiments. Mutational analysis of the promoter demonstrated that the putative NF-kappaB binding sites are needed for stimulation by dsRNA but not by either type I or type II IFN and that both the overlapping ISREs and GAS are required for full induction by type I or type II IFN.
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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 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".