A CRM1-dependent Nuclear Export Pathway Is Involved in the Regulation of IRF-5 Subcellular Localization
Bibliographic record
Abstract
Interferon regulatory factors (IRFs) are involved in gene regulation in many biological processes including the antiviral, growth regulatory, and immune modulatory functions of the interferon system. Several studies have demonstrated that IRF-3, IRF-5, and IRF-7 specifically contribute to the innate antiviral response to virus infection. It has been reported that virus-specific phosphorylation leads to IRF-5 nuclear localization and up-regulation of interferon, cytokine, and chemokine gene expression. Two nuclear localization signals have been identified in IRF-5, both of which are sufficient for nuclear translocation and retention in virus-infected cells. In the present study, we demonstrate that a CRM1-dependent nuclear export pathway is involved in the regulation of IRF-5 subcellular localization. IRF-5 possesses a functional nuclear export signal (NES) that controls dynamic shuttling between the cytoplasm and the nucleus. The NES element is dominant in unstimulated cells and results in the predominant cytoplasmic localization of IRF-5. Mutation of two leucine residues in the NES motif to alanine, or three adjacent Ser/Thr residues to the phosphomimetic Asp, results in constitutively nuclear IRF-5 and suggests that phosphorylation of adjacent Ser/Thr residues may contribute to IRF-5 nuclear accumulation in virus-induced cells. IKK-related kinases TBK1 and IKKepsilon have been shown to phosphorylate and activate IRF-3 and IRF-7, leading to the production of type 1 interferons and the development of a cellular antiviral state. We examined the phosphorylation and activation of IRF-5 by TBK1 and IKKepsilon kinases. Although IRF-5 is phosphorylated by IKKepsilon and TBK1 in co-transfected cells, the phosphorylation of IRF-5 did not lead to IRF-5 nuclear localization or activation.
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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 | 0.001 | 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 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".