The mRNA translation initiation factor eIF4G1 controls mitochondrial oxidative phosphorylation, axonal morphogenesis, and memory
Bibliographic record
Abstract
mRNA translation initiation plays a critical role in learning and memory. The eIF4F complex, composed of the cap-binding protein eIF4E, ATP-dependent RNA helicase eIF4A, and scaffolding protein eIF4G, is a pivotal factor in the mRNA translation initiation process. eIF4G1, the major paralogue of the three eIF4G family members, is indispensable for development, but its function in learning and memory is unknown. To study the role of eIF4G1 in cognition, we used an eIF4G1 haploinsufficient (eIF4G1-1D) mouse model. The axonal arborization of eIF4G1-1D primary hippocampal neurons was significantly disrupted, and the mice displayed impairment in hippocampus-dependent learning and memory. Translatome analysis showed that the translation of mRNAs encoding proteins of the mitochondrial oxidative phosphorylation (OXPHOS) system was decreased in the eIF4G1-1D brain, and OXPHOS was decreased in eIF4G1-silenced cells. Thus, eIF4G1-mediated mRNA translation is crucial for optimal cognitive function, which is dependent on OXPHOS and neuronal morphogenesis.
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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".