Distinct Regulation of Internal Ribosome Entry Site-mediated Translation following Cellular Stress Is Mediated by Apoptotic Fragments of eIF4G Translation Initiation Factor Family Members eIF4GI and p97/DAP5/NAT1
Bibliographic record
Abstract
Many cellular stresses lead to the inhibition of protein synthesis. Despite this, some cellular mRNAs are selectively translated under these conditions. It was suggested that the presence of internal ribosome entry site (IRES) sequences in the 5'-untranslated regions allow these mRNAs to be actively translated despite the overall cessation of protein synthesis. Here we tested the hypothesis that the IRES elements of genes that are involved in the control of cell survival are distinctly regulated by cellular stresses. We show that the transient conditions of cellular stress favor the translation of pro-survival IRES, while the severe apoptotic conditions support translation of pro-death IRES elements. Furthermore, activation of pro-death IRES during the etoposide-induced apoptosis is caspase-dependent and correlates with the expression of apoptotic fragments of two members of the eIF4G translation initiation factor family, p97/DAP5/NAT1 and eIF4GI. Our results suggest that the regulation of IRES translation during stress contributes to the fine-tuning of cell fate.
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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".