Translation initiation of alphavirus mRNA reveals new insights into the topology of the 48S initiation complex
Bibliographic record
Abstract
The topology and dynamics of the scanning ribosomal 43S pre-initiation complex (PIC) bound to mRNA and initiation factors (eIFs) are probably the least understood aspects of translation initiation in eukaryotes. Recently, we described a trapping mechanism in alphavirus that stalls the PIC during scanning of viral mRNA. Using this model, we were able to snapshot for the first time the eIF4A helicase bound to mRNA in a 48S initiation complex assembled in vitro. This interaction was only detected in the presence of the natural stem loop structure (DLP) located downstream from the AUG in viral mRNA that promoted stalling of the PIC, suggesting that DLP stability was enough to jam the helicase activity of eIF4A in a fraction of assembled 48S complexes. However, a substantial proportion of DLP mRNA molecules were effectively unwound by eIF4A in vitro, an activity that alphaviruses counteract in infected cells by excluding eIF4A from viral factories. Our data indicated that eIF4A-mRNA contact occurred in (or near) the ES6S region of the 40S subunit, suggesting that incoming mRNA sequences penetrate through the ES6S region during the scanning process. We propose a topological model of the scanning PIC and how some viruses have exploited this topology to translate their mRNAs with fewer eIF requirements.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".