Nsf1/Ypl230w participates in transcriptional activation during non-fermentative growth and in response to salt stress in Saccharomyces cerevisiae
Bibliographic record
Abstract
In Saccharomyces cerevisiae, fermentable carbon sources such as glucose and fructose are preferred and elicit glucose repression of genes needed to metabolize non-fermentable carbon sources such as glycerol, ethanol and acetate. Different sets of transcription factors are needed to adjust to specific carbon conditions. For example, Mig1 and Mig2 repress the transcription of gluconeogenic and respiratory genes in the presence of abundant glucose, while the transcriptional activation of these genes depends on transcription factors such as Adr1 and Cat8. Here we show that Ypl230w, which we renamed to Nsf1 (nutrient and stress factor 1), is expressed and localizes to the nucleus under non-fermentable carbon conditions to activate gene transcription. Specifically, the transcriptional activation of ACS1, CIT2 and IDH1 is shown to be partially dependent on intact NSF1. Similarly, the transcriptional activation of ENA1 is impaired in the nsf1Delta mutant in response to high concentrations of NaCl, implying that NSF1 is also needed for the yeast response to sodium stress. The carbon- and NaCl-mediated transcriptional activation of ENA1 is dependent on Nsf1. This finding implies that the yeast response to non-fermentable carbon and salt stress is at least partially dependent on NSF1.
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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".