Promoter Organization of the Interferon-A Genes Differentially Affects Virus-induced Expression and Responsiveness to TBK1 and IKK∈
Bibliographic record
Abstract
Virus-induced expression of interferon (IFN)-A genes is regulated by two members of the IFN regulatory factor (IRF) family, IRF-3 and IRF-7, which are activated by phosphorylation during viral infection by the IKK-related serine/threonine kinases TBK1 and IkappaB kinase epsilon (IKKepsilon). In this study, we demonstrate that three IRF-binding sites located in the virus-responsive element mediate the transcriptional activation of the IFN-A4 promoter by IRF-3. The precise arrangement of these IRF elements is required for synergistic activation of the IFN-A4 promoter following Newcastle disease virus infection or activation by TBK1 or IKKepsilon. The ordered assembly of IRF-3 multimers on the promoter also determines cooperative recruitment of IRF-3 and CREB-binding protein and differential virus-induced expression of IFN-A4 gene promoter compared with IFN-A11. Naturally occurring nucleotide substitutions disrupt two of the IRF elements in the IFN-A11 gene promoter, leading to a dramatic decrease in IRF-3 and CREB-binding protein recruitment and in IRF-3-dependent transcription. Transcription of the IFN-A4 promoter by IRF-7 is mediated by two IRF elements; promoter mutants that carry a reversed IRF element retain the ability to respond to IKKepsilon or TBK1 expression in the presence of IRF-7 but lose the capacity to respond to virus or kinase-induced IRF-3. Interestingly, IKKepsilon or TBK1 stimulates the IRF-7-mediated transcription of IFN-A11, although at a lesser extent compared with IFN-A4. Our data indicate that virus-induced expression of IFN-A genes is dictated by the organization of IRF elements within the IFN-A promoters and that the differential IFN-A gene expression, based on the IRF-3 responsiveness, is partially compensated in the presence of IRF-7 when both factors are activated by IKKepsilon or TBK1.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
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 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".