Interferon-Inducible Stat2 Activation of JUND and CLDN4: Mediators of IFN Responses
Bibliographic record
Abstract
Signal transducer and activator of transcription 2 (Stat2) is a critical signaling protein involved in mediating interferon-alpha/beta (IFN-alpha/beta) responses. Using site-directed mutagenesis in conjunction with gene microarray and biologic studies, we have previously demonstrated that in addition to Stat2 functioning as a transactivator of transcription of a subset of IFN-inducible genes (ISG), Stat2-DNA binding mediates the transcriptional activation of other ISGs required for IFN-inducible antiviral and growth inhibitory responses. Among these, two candidate genes identified were Jun-D (JUND) and claudin-4 (CLDN4). To further explore the role of JUND and CLDN4 in IFN responses, we conducted knockdown studies using siRNA specific for either JUND or CLDN4 in 2fTGH fibroblast cells, and consistent with cells expressing the DNA-binding mutant of Stat2 (U6A-2VV-II), siRNA-mediated knockdown resulted in cells that exhibited reduced antiproliferative and antiviral responses to IFN. Our data suggest that JUND and CLDN4 are critical mediators of the antiproliferative and antiviral effects of type I IFNs and further confirm the functional importance of the DNA-binding domain of Stat2.
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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) | 0.002 | 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".