Regulated nuclear accumulation of the yeast hsp70 Ssa4p in ethanol‐stressed cells is mediated by the N‐terminal domain, requires the nuclear carrier Nmd5p and protein kinase C
Bibliographic record
Abstract
Cytoplasmic proteins of the hsp70/hsc70 family redistribute in cells that have been exposed to stress. As such, the hsp70 Ssa4p of the budding yeast S. cerevisiae accumulates in nuclei when cells are treated with ethanol, whereas classical nuclear import is inhibited under these conditions. The N-terminal domain of Ssa4p, which is lacking a classical NLS, mediates nuclear accumulation upon ethanol exposure. Concentration of the Ssa4p N-terminal segment in nuclei is reversible, as the protein relocates to the cytoplasm when cells recover. Mutant analysis demonstrates that the small GTPase Gsp1p and GTPase-modulating factors are required to accumulate Ssa4p in nuclei upon ethanol stress. Moreover, we have identified the importin-beta family member Nmd5p as the nuclear carrier for Ssa4p. Ethanol treatment significantly increases the formation of import complexes containing Nmd5p and the N-terminal Ssa4p domain. Likewise, docking of the carrier Nmd5p at the nuclear pore is enhanced by ethanol. Furthermore, we show that the stressed-induced nuclear accumulation of Ssa4p depends on signaling through protein kinase C and requires sensors of the cell integrity pathway.
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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 | 0.000 |
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 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".