Zinc finger 4 negatively controls the transcriptional activator Fzf1 in <i>Saccharomyces cerevisiae</i>
Bibliographic record
Abstract
Abstract Fzf1 is a Saccharomyces cerevisiae transcription factor containing five zinc fingers (ZFs). It regulates the expression of at least five downstream genes, including SSU1, YHB1, DDI2/3, and YNR064c, by recognizing a consensus sequence, CS2, found in these gene promoters. These gene products are involved in cellular responses to various chemical stresses. For example, SSU1 encodes a sodium sulfite efflux protein that confers sulfite resistance. However, the underlying molecular mechanism through which Fzf1 responds to chemical stress and coordinates target gene activation remains elusive. Interestingly, several mutations in the fourth ZF (ZF4) of Fzf1 have previously been reported to confer either sulfite resistance or elevated basal‐level expression of YHB1, indicating that ZF4 negatively impacts Fzf1 activity. Since ZF4 is dispensable for CS2 binding in vitro, we hypothesized that ZF4 is a negative regulator of Fzf1 and that chemically induced Fzf1‐regulated gene expression occurs via de‐repression. All five genes examined were cross‐induced by corresponding chemicals in an Fzf1‐dependent manner, and all three ZF4 mutations and a ZF4 deletion conferred increased basal‐level expression and SSU1‐dependent sulfite resistance. A ZF4 deletion did not alter the target DNA binding, consistent with the observed codominant phenotype. These observations collectively reveal that Fzf1 remains inactive by default at the target promoters and that its activation is at least partially achieved by self‐derepression through chemical modification and/or a conformational change.
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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".