Nutrient stress does not cause retrograde transport of cytoplasmic tRNA to the nucleus in evolutionarily diverse organisms
Bibliographic record
Abstract
Intracellular trafficking of tRNA was long thought to be a one-way trip from the site of biogenesis in the nucleus to the translation machinery in the cytoplasm. This view has recently been challenged, however, by the discovery that tRNA can move retrograde from the cytoplasm back to the nucleus in Saccharomyces cerevisiae and rat hepatoma H4IIE cells during nutrient stress and in S. cerevisiae after intron-containing pre-tRNAs are spliced in the cytoplasm. Contrary to studies reported, we present data suggesting that nutrient stress does not cause retrograde transport of cytoplasmic tRNAs to the nucleus in rat hepatoma H4IIE cells, human HeLa and HEK293 cells, and the yeasts Kluyveromyces lactis and S. cerevisiae. However, the efficiency of nuclear re-export of retrograded spliced tRNA was severely affected in S. cerevisiae and two other Saccharomyces species deprived of nutrient. Collectively, the data suggest that nutrient stress does not cause nuclear import of cytoplasmic tRNA; instead, nutrient stress specifically regulates nuclear re-export of retrograded spliced tRNAs but not nuclear export of tRNAs made from intronless pre-tRNAs in Saccharomyces species. Furthermore, we provide evidence suggesting that Mtr10p and the Gsp1pGTP/Gsp1pGDP cycle are not involved in nuclear tRNA import in S. cerevisiae during nutrient stress.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".