Cap-dependent translation initiation monitored in living cells
Bibliographic record
Abstract
Abstract Despite extensive biochemical, genetic, and structural studies, a complete understanding of mRNA translation initiation is still lacking. Imaging methodologies able to resolve the binding dynamics of translation factors at single-cell and single-molecule resolution are necessary to fully elucidate regulation of this paramount process. We fused tags suitable for live imaging to eIF4E, eIF4G1 and 4E-BP1 without affecting their function. We combined Fluorescence Correlation Spectroscopy (FCS) and Single-Particle Tracking (SPT) to interrogate the binding dynamics of initiation factors to the 5’cap. Both FCS and SPT were able to detect eIF4E:eIF4G1 binding to the mRNA in the cytoplasm of proliferating cells and neuronal processes. Upon inhibition of phosphorylation by mTOR, 4E-BP1:eIF4E complexes rapidly dissociated from the 5’cap followed by eIF4G1 dissociation. Imaging of the binding dynamics of individual translation factors in living cells revealed the temporal regulation of translation at unprecedented resolution.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".