Convergence of the NF‐κB and Interferon Signaling Pathways in the Regulation of Antiviral Defense and Apoptosis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The ubiquitously expressed interferon regulatory factor 3 (IRF-3) is directly activated following virus infection and functions as a key activator of the immediate-early Type 1 interferon (IFN) genes. Using DNA microarray analysis (8,556 genes) in Jurkat T cells inducibly expressing constitutively active IRF-3, several target genes directly regulated by IRF-3 were identified. Among the genes upregulated by IRF-3 were transcripts for a subset of known IFN-stimulated genes (ISGs), including ISG56, which functions as an inhibitor of translation initiation. Phosphorylation of C-terminal Ser/Thr residues--(382)GGASSLENTVDLHISNSHPLSLTSDQY(408)-is required for IRF-3 activation. Using C-terminal point mutations and a novel phosphospecific antibody, Ser396 was characterized as the minimal phosphoacceptor site required in vivo for IRF-3 activation following Sendai virus (SeV) infection, expression of viral nucleocapsid, or double-stranded RNA (dsRNA) treatment. The identity of the virus-activated kinase (VAK) activity that targets and activates IRF-3 and IRF-7 has remained a critical missing link in the understanding of interferon signaling. We report that the IKK-related kinases-IKKepsilon/TBK-1-are components of VAK that mediate IRF-3 and IRF-7 phosphorylation and thus functionally link the NF-kappaB and IRF pathways in the development of the antiviral response.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it