The Fission Yeast Copper-sensing Transcription Factor Cuf1 Regulates the Copper Transporter Gene Expression through an Ace1/Amt1-like Recognition Sequence
Bibliographic record
Abstract
Transcriptional regulation of genes encoding critical components of copper transport is essential for copper homeostasis and growth in yeast. Analysis of regulatory regions in the promoter of the ctr4(+) copper transporter gene in fission yeast Schizosaccharomyces pombe reveals the identity of a conserved copper-signaling element (CuSE), which is recognized by the transcription factor Cuf1. We demonstrate that CuSE is necessary for transcriptional activation in response to copper deprivation conditions. Interestingly, the CuSE element bears a strong sequence similarity to the recognition site, denoted MRE (metal regulatory element), which is recognized by a distinct class of copper sensors required for copper detoxification, including Ace1 from Saccharomyces cerevisiae and Amt1 from Candida glabrata. When a consensus MRE from S. cerevisiae is introduced into S. pombe, transcription is induced by copper deprivation in a Cuf1-dependent manner, similar to regulation by Mac1, the nuclear sensor for regulating the expression of genes encoding components involved in copper transport in S. cerevisiae. UV-cross-linking experiments show that the Cuf1 protein directly binds the CuSE. These results demonstrate that the Cuf1 nutritional copper-sensing factor possesses a module that functions similarly to domains found in the Ace1/Amt1 class of metalloregulatory factors, which allows the protein to act through a closely related MRE-like sequence to regulate copper transport gene expression in S. pombe.
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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".