Stress-induced production, processing and stability of a seripauperin protein, Pau5p, in Saccharomyces cerevisiae
Bibliographic record
Abstract
PAU genes comprise the largest multiple gene family in Saccharomyces cerevisiae with 24 members whose sequence homology ranges from 82% to 100%. Although transcriptional regulation for some of the PAU genes has been reported, none of the Pau proteins has been characterized. We constructed yeast strains encoding a C-terminal tandem affinity purification-tagged Pau5 in the PAU5 locus to study Pau5 production and properties in vivo. Pau5 is highly induced by low temperature, low oxygen and wine fermentation conditions. It is unstable in cells grown under laboratory conditions and is temporarily stabilized by low oxygen, osmotic and ethanol stresses. Pau5 degradation is accompanied by an unknown modification with a gradual increase in molecular mass by 3 kDa. Furthermore, Pau5 is O-mannosylated mainly by Pmt1; mannosylation enhances stability of the protein. The mannosylated Pau5 is soluble whereas the nonmannosylated proform Pau5 is an integral membrane protein. Our findings suggest that the intracellular concentration of Pau5 is regulated by wine making stress both at transcriptional and posttranslational levels; Pau5 might play a role in adaptation of yeast cells during alcoholic fermentations.
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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) | 0.000 | 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 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".