The requirement for eukaryotic initiation factor 4A (eIF4A) in translation is in direct proportion to the degree of mRNA 5′ secondary structure
Bibliographic record
Abstract
Eukaryotic initiation factor (elF) 4A functions as a subunit of the initiation factor complex elF4F, which mediates the binding of mRNA to the ribosome. elF4A possesses ATPase and RNA helicase activities and is the prototype for a large family of putative RNA helicases (the DEAD box family). It is thought that the function of elF4A during translation initiation is to unwind the mRNA secondary structure in the 5' UTR to facilitate ribosome binding. However, the evidence to support this hypothesis is rather indirect, and it was reported that elF4A is also required for the translation of mRNAs possessing minimal 5' UTR secondary structure. Were this hypothesis correct, the requirement for elF4A should correlate with the degree of mRNA secondary structure. To test this hypothesis, the effect of a dominant-negative mutant of mammalian elF4A on translation of mRNAs with various degrees of secondary structure was studied in vitro. Here, we show that mRNAs containing stable secondary structure in the 5' untranslated region are more susceptible to inhibition by the elF4A mutant. The mutant protein also strongly inhibits translation from several picornavirus internal ribosome entry sites (IRES), although to different extents. UV crosslinking of elF4F subunits and elF4B to the mRNA cap structure is dramatically reduced by the elF4A mutant and RNA secondary structure. Finally, the elF4A mutant forms a more stable complex with elF4G, as compared to the wild-type elF4A, thus explaining the mechanism by which substoichiometric amounts of mutant elF4A inhibit translation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".