Individual Interferon Regulatory Factor-3 Thiol Residues Are Not Critical for Its Activation Following Virus Infection
Bibliographic record
Abstract
The interferon regulatory factor (IRF)-3 transcription factor plays a central role in the capacity of the host to mount an efficient innate antiviral immune defense, mainly through the regulation of type I Interferon genes. A tight regulation of IRF-3 is crucial for an adapted intensity and duration of the response. Redox-dependent processes are now well known to regulate signaling cascades. Recent reports have revealed that signaling molecules upstream of IRF-3, including the mitochondrial antiviral-signalling protein (MAVS) and the TNF receptor associated factors (TRAFs) adaptors, are sensitive to redox regulation. In the present study, we assessed whether redox regulation of thiol residues contained in IRF-3, which are priviledged redox sensors, play a role in its regulation following Sendai virus infection, using a combination of mutation of Cysteine (Cys) residues into Alanine and thiols alkylation using N-ethyl maleimide. Alkylation of IRF-3 on Cys289 appears to destabilize IRF-3 dimer in vitro. However, a detailed analysis of IRF-3 phosphorylation, dimerization, nuclear accumulation, and induction of target gene promoter in vivo led us to conclude that IRF-3 specific, individual Cys residues redox status does not play an essential role in its activation in vivo.
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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) | 0.001 | 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".