Functional Characterization of the Iron-regulatory Transcription Factor Fep1 from Schizosaccharomyces pombe
Bibliographic record
Abstract
In response to excess iron, Schizosaccharomyces pombe cells repress transcription of genes encoding components involved in iron uptake through the Fep1 transcription factor. Fep1 mediates this control by interacting with the consensus sequence 5'-(A/T)GATAA-3', found in iron-dependent promoters. In this report, we show that Fep1 localizes to the nucleus under both iron-replete and iron-starved conditions. The Fep1 DNA binding domain (amino acids 1-241) contains two GATA-type zinc finger motifs. Although we determine that the Fep1 C-terminal zinc finger (ZF2) is essential for DNA binding, we show that the N-terminal zinc finger (ZF1) enhances DNA binding affinity approximately 5-fold. Between the two zinc finger motifs of Fep1 resides an invariant amino acid sequence, denoted the Cys-rich region (amino acids 68-94), in which four highly conserved Cys residues are found. Cells harboring mutant alleles in which two or more of the conserved Cys residues were substituted by alanine exhibited elevated fio1(+) mRNA levels. We determine that the dissociation constant for the resulting complex between each of the Cys mutants and the sequence 5'-(A/T)GATAA-3' reflects a much lower affinity that correlates with failure to repress fio1(+) gene expression. Deletion analysis identified two heptad repeats (amino acids 522-536) within the C-terminal region of Fep1 that are necessary and sufficient to mediate Fep1 dimerization. Moreover, mutations that impair dimerization also negatively affect transcriptional repression. Together these findings reveal several novel features of Fep1, a non-canonical GATA factor required for iron homeostasis.
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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".