Cap-dependent eukaryotic initiation factor-mRNA interactions probed by cross-linking
Bibliographic record
Abstract
Cap-dependent ribosome recruitment to eukaryotic mRNAs during translation initiation is stimulated by the eukaryotic initiation factor (eIF) 4F complex and eIF4B. eIF4F is a heterotrimeric complex composed of three subunits: eIF4E, a 7-methyl guanosine cap binding protein; eIF4A, a DEAD-box RNA helicase; and eIF4G. The interactions of eIF4E, eIF4A, and eIF4B with mRNA have previously been monitored by chemical- and UV-based cross-linking approaches aimed at characterizing the initial protein/mRNA interactions that lead to ribosome recruitment. These studies have led to a model whereby eIF4E interacts with the 7-methyl guanosine cap structure in an ATP-independent manner, followed by an ATP-dependent interaction of eIF4A and eIF4B. Herein, we apply a splint-ligation-mediated approach to generate 4-thiouridine-containing mRNA adjacent to a radiolabel group that we utilize to monitor cap-dependent cross-linking of proteins adjacent to, and downstream from, the cap structure. Using this approach, we demonstrate interactions between eIF4G, eIF4H, and eIF3 subunits with the mRNA during the cap recognition process.
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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) | 0.000 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".