The Interferon-Inducible Stat2:Stat1 Heterodimer Preferentially Binds <i>In Vitro</i> to a Consensus Element Found in the Promoters of a Subset of Interferon-Stimulated Genes
Bibliographic record
Abstract
Regulated expression of type I interferon (IFN)-stimulated genes (ISG) requires the binding of the signal transducer and activator of transcription (Stat) complexes to enhancer elements located in the ISG promoters. These enhancer elements include the IFN-stimulated response element (ISRE) and the palindromic IFN-gamma activation site (GAS) element. Regulated expression of ISRE containing ISG depends on IFN-stimulated gene factor 3 (ISGF3), a heterodimer involving Stat1 and Stat2 in association with a DNA-binding adapter protein, p48/IFN regulatory factor-9 (IRF-9). Several GAS binding Stat complexes involving Stat1, Stat3, Stat4, and Stat5 have been described, but their contribution to GAS-dependent ISG expression remains to be established. We and others previously identified an IFN-alpha-inducible Stat2:1 heterodimer that exhibits binding to the GAS element of the IRF-1 gene. These previous studies raise the possibility that Stat2:1 may participate in the transcriptional activation of the subset of ISG containing GAS elements. To address this question, we performed a PCR-assisted binding site selection procedure to define the Stat2:1 recognition sequence. The data reveal that Stat2:1 preferentially binds to a palindromic sequence similar to the consensus GAS element found in the promoter of several ISG. Our results establish that in addition to the classic complex formation involving Stat2, Stat1, and p48 associations, Stat2:1 heterodimers are formed in response to IFN treatment that may play an important role in the transcriptional regulation of certain ISG.
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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) | 0.004 | 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".