mTOR- and LARP1-dependent regulation of TOP mRNA poly(A) tail and ribosome loading
Bibliographic record
Abstract
Translation of 5' terminal oligopyrimidine (TOP) mRNAs encoding the protein synthesis machinery is strictly regulated by an amino-acid-sensing mTOR pathway. However, its regulatory mechanism remains elusive. Here, we demonstrate that TOP mRNA translation positively correlates with its poly(A) tail length under mTOR active/amino-acid-rich conditions, suggesting that TOP mRNAs are post-transcriptionally controlled by poly(A) tail-length regulation. Consistent with this, the tail length of TOP mRNAs dynamically fluctuates in response to amino acid availability. The poly(A) tail shortens under mTOR active/amino-acid-rich conditions, whereas the long-tailed TOP mRNAs accumulate under mTOR inactive/amino-acid-starved (AAS) conditions. An RNA-binding protein, LARP1, is indispensable for the process. LARP1 interacts with non-canonical poly(A) polymerases and induces post-transcriptional polyadenylation of the target. Our findings illustrate that LARP1 contributes to the selective accumulation of TOP mRNAs with long poly(A) tails under AAS, resulting in accelerated ribosomal loading onto TOP mRNAs for the resumption of translation after AAS.
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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 | 0.001 |
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".