Plants, like mammals, but unlike<i>Saccharomyces,</i>do not regulate nuclear-cytoplasmic tRNA trafficking in response to nutrient stress
Bibliographic record
Abstract
Cells respond to nutrient stress by regulating gene transcription and various key metabolic processes, including ribosome biogenesis and protein synthesis. Several studies have shown that yeasts and mammalian cells also regulate export of tRNAs from the nucleus to the cytosol in response to nutrient stress. However, nuclear export of tRNA in mammalian cells during nutrient stress is controversial, as it has been recently shown that nuclear-cytoplasmic transport of tRNAs in several mammalian cell lines is not affected by nutrient deprivation. Furthermore, contrary to previous studies, data reported recently indicate that nuclear export of mature tRNAs derived from intron-containing precursor tRNAs, but not tRNAs made from intronless precursors, is affected by nutrient availability in several Saccharomyces species, although not in Kluyveromyces lactis and Schizosaccharomyces pombe. Here, we report that plants, like mammals and some yeasts, but unlike Saccharomyces, do not directly regulate nuclear export of tRNA in response to nutrient stress, indicating that this process is not entirely conserved among evolutionarily diverse organisms.
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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".