Cell stress modulates the function of splicing regulatory protein RBM4 in translation control
Bibliographic record
Abstract
RNA-binding motif protein 4 (RBM4) plays a regulatory role in alternative splicing of precursor mRNA. We show here that cell stress such as arsenite exposure induces phosphorylation of RBM4 at serine 309 and also drives its cytoplasmic accumulation and targeting to stress granule via the MKK(3/6)-p38 signaling pathway. Accordingly, RBM4 suppresses cap-dependent translation in a cis-element-dependent manner. However, RBM4 concomitantly activates internal ribosome entry site (IRES)-mediated translation likely by promoting the association of translation initiation factor eIF4A with IRES-containing mRNAs. Overexpression of RBM4 therefore mimics the effect of cell stress-induced signaling on translation initiation control. Whereas arsenite treatment promotes RBM4 loading onto IRES mRNAs and enhances RBM4-eIF4A interactions, a nonphosphorylatable mutant of RBM4 was unresponsive to arsenite stress and failed to activate IRES-mediated translation. Thus, our results uncover a previously unrecognized paradigm for the RNA-binding protein RBM4 in its phosphorylation-modulated dual action as a suppressor of cap-dependent and enhancer of IRES-mediated translation in response to stress signals.
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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".