The eukaryotic translation initiation factor <scp>eIF</scp>4E in the nucleus: taking the road less traveled
Bibliographic record
Abstract
The eukaryotic translation initiation factor eIF4E is a potent oncogene. Although eIF4E has traditional roles in translation initiation in the cytoplasm, it is also found in the nucleus, suggesting that it has activities beyond its role in protein synthesis. The road less traveled has been taken to study these nuclear activities and to understand their contribution to the oncogenic potential of eIF4E. The molecular features and biological pathways underpinning eIF4E's nuclear mRNA export are described. New classes of eIF4E regulators have been identified and their relevance to cancer shown. The studies presented here reveal the molecular, biophysical, and structural bases for eIF4E regulation. Finally, recent clinical work targeting eIF4E in acute myeloid leukemia patients with ribavirin is discussed. In summary, these findings provide a novel paradigm for eIF4E function and the molecular basis for targeting it in leukemia patients.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".