Zebrafish RBM47 Promotes Lysosome-Dependent Degradation of MAVS to Inhibit IFN Induction
Bibliographic record
Abstract
IFN is essential for hosts to defend against viral invasion, whereas it must be tightly regulated to prevent hyperimmune responses. Fish mitochondrial antiviral signaling protein (MAVS) is a vital factor for IFN production, but until now, there have been few studies on the regulation mechanisms of fish MAVS enabling IFN to be properly controlled. In this study, we show that zebrafish RNA-binding motif protein 47 (RBM47) promotes MAVS degradation in a lysosome-dependent manner to suppress IFN production. First, the transcription of IFN activated by polyinosinic/polycytidylic acid (poly I:C), spring viremia of carp virus, or retinoic acid-inducible gene I (RIG-I)-like receptor pathway components were significantly suppressed by RBM47. Second, RBM47 interacted with MAVS and promoted lysosome-dependent degradation of MAVS, changing the cellular location of MAVS from the cytoplasm to the lysosome region. Finally, RBM47 inhibited downstream MITA and IRF3/7 activation, impairing the host antiviral response. Collectively, these data suggest that zebrafish RBM47 negatively regulates IFN production by promoting lysosome-dependent degradation of MAVS, providing insights into the role of RBM47 in the innate antiviral immune response in fish.
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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".