Multiple Regulatory Domains Control IRF-7 Activity in Response to Virus Infection
Bibliographic record
Abstract
Recent studies implicate the interferon regulatory factors (IRF), IRF-3 and IRF-7, as key activators of Type 1 interferon genes, as well as the RANTES (regulated on activation normal T cell expressed) chemokine gene. Both IRF-3 and IRF-7 are regulated in part by virus-induced C-terminal phosphorylation, leading to nuclear translocation, stimulation of DNA binding, and transcriptional activities. Structure-function studies with IRF-7 suggested a complex organization of the C-terminal region, with a constitutive activation domain located between amino acids 150-246, an accessory inducibility region at the very end of IRF-7 between amino acids 467 and 503, and an inhibitory region (amino acids 341-467) adjacent to the C-terminal end that interferes with transactivation. Furthermore, an element that increases basal and virus-inducible activity is located between amino acids 278 and 305. A transcriptionally active form of IRF-7 was also generated by substitution of Ser-477 and Ser-479 residues with the phosphomimetic Asp. IRF-7, particularly IRF-7(S477D/S479D), was a strong transactivator of type I interferon and RANTES chemokine gene expression. Unlike wild type IRF-3, IRF-7 overexpression was able to stimulate inteferon gene expression in the absence of virus infection. Using tagged versions of IRF-7 and IRF-3, the formation of homo- and heterodimers was detected by co-immunoprecipitation. These results demonstrate that IRF-3 and IRF-7 transcription factors possess distinct structural characteristics that impart complementary rather than redundant functional roles in cytokine gene activation.
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 | 0.001 |
| 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".