Nucleotides of the tRNA D-stem that play an important role in nuclear-tRNA export in Saccharomyces cerevisiae
Bibliographic record
Abstract
Nuclear export of tRNA in Saccharomyces cerevisiae involves Los1p and Arc1p. Los1p facilitates tRNA translocation across the nuclear pore complex whereas Arc1p plays a role in delivering some species of tRNA exiting the nucleus to their cognate aminoacyl-tRNA synthetases. Here, we show that mutations of C11 and G24 of the D-stem of the yeast tyrosine amber-suppressor tRNA have different effects on nuclear export of the tRNA. Changing G24 had no effect on export of the tRNA to the cytoplasm. In contrast, mutating C11 resulted in nuclear retention of the tRNA. Nuclear retention of the tRNA mutants was not due to lack of processing, since only the mature forms of the tRNA mutants were found. The fact that mutations of G24 did not affect export of the tRNA also indicates that the effect of mutating C11 is not due to gross alteration of the tertiary structure resulting from disruption of the C11/G24 base pair. Expression of Los1p and the mammalian tRNA export receptor exportin-t rescued nuclear export of the tRNA with changes at position 11. The export-defective mutations of the tRNA mutants were suppressed by introducing the complementary nucleotides at position 24. Taken together, these findings suggest that C11 is important for binding of the tRNA to the export receptor, and that this binding is influenced by the conformation of the base. Finally, the export-defective tRNA mutants described can be used as reporters to identify eukaryotic proteins involved in the nuclear-tRNA export process, and characterize the molecular interactions between known receptors and the tRNA substrate.
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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".