Induction of IRF-3 and IRF-7 phosphorylation following activation of the RIG-I pathway.
Bibliographic record
Abstract
The induction of type I interferon (IFN) and the development of the innate antiviral response are mediated by the activation of interferon regulatory factor (IRF)-3 and IRF-7 under the control of the non-canonical kinases TBK-1 and IKKepsilon. The initial sensing of infection by RNA viruses is mediated by the cytoplasmic, retinoic acid inducible gene I (RIG-I), via a Toll-like receptor (TLR) independent signaling pathway. In the present study, we identify key residues involved in IRF-3 and IRF-7 phosphorylation using TAP-tag purification of TBK-1 and IKKepsilon proteins. Based on the identification of an extended sequence motif--SxSxxxS--common to both IRF-3 and IRF-7, an IRF-7 pSer477/479 phosphospecific antibody was generated. Virus infection, TBK-1/IKKepsilon expression or co-expression of different signaling adaptors such as RIG-I, MAVS and TRIF, all stimulated pSer477/479 phosphorylation. Furthermore, the newly identified adaptor of the RIG-I pathway (MAVS/IPS-1/VISA/Cardif) was able to induce IRF and NF-kappaB dependent promoter activity as efficiently as the constitutively active form of RIG-I (DeltaRIG-I). Co-expression of the NS3/4A protease activity of hepatitis C virus however blocked MAVS-mediated gene activation in a dose dependent manner. These studies link RIG-I sensing of viral RNA to downstream kinase signaling and phosphorylation of IRF-3 and IRF-7 via the MAVS/IPS/VISA/Cardif adaptor.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".