Iron Activates In Vivo DNA Binding of <i>Schizosaccharomyces pombe</i> Transcription Factor Fep1 through Its Amino-Terminal Region
Bibliographic record
Abstract
In Schizosaccharomyces pombe, the iron sensor Fep1 mediates the transcriptional repression of iron transport genes in response to high concentrations of iron. On the other hand, fep1(+) expression is downregulated under conditions of iron starvation by the CCAAT-binding factor Php4. In this study, we created a fep1Delta php4Delta double mutant strain where expression of fep1(+) was disengaged from its iron limitation-dependent repression by Php4 to examine the effects of iron on constitutively expressed functional fep1(+)-GFP and TAP-fep1(+) alleles and their gene products. In these cells, Fep1-green fluorescent protein was invariably localized in the nucleus under both iron-limiting and iron-replete conditions. Using chromatin immunoprecipitation assays, we found that Fep1 is associated with iron-responsive promoters in vivo. Chromatin binding was iron dependent, with a loss of binding observed in the presence of low iron. Functional dissection of the protein revealed that the N-terminal 241-residue segment that includes two consensus Cys(2)/Cys(2)-type zinc finger motifs and a Cys-rich region is required for optimal promoter occupancy by Fep1. Within this segment, a minimal module encompassing amino acids 60 to 241 is sufficient for iron-dependent chromatin binding. Using yeast one-hybrid analysis, we showed that the replacement of the repression domain of Fep1 by fusing the activation domain of VP16 to the chromatin-binding fragment of amino acids 1 to 241 of Fep1 converts the protein from an iron-dependent repressor into an iron-dependent transcriptional activator. Thus, the repression function of Fep1 can be replaced with that of a transcriptional activation function without the loss of its iron-dependent DNA-binding activity.
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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) | 0.002 | 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".