Fission yeast RNA‐binding proteins Puf2 and Puf4 are involved in repression of ferrireductase Frp1 expression in response to iron
Bibliographic record
Abstract
Abstract This study identifies a post‐transcriptional mechanism of iron uptake regulation by Puf2 and Puf4 of the Pumilio and FBF (Puf) family of RNA‐binding proteins in Schizosaccharomyces pombe. Cells expressing Puf2 and Puf4 stimulate decay of the frp1+ mRNA encoding a key enzyme of the reductive iron uptake pathway. Results consistently showed that frp1+ mRNA is stabilized in puf2Δ puf4Δ mutant cells under iron‐replete conditions. As a result, puf2Δ puf4Δ cells exhibit an increased sensitivity to iron accompanied by enhanced ferrireductase activity. A pool of GFP‐frp1+ 3′UTR RNAs was generated using a reporter gene containing the 3′ untranslated region (UTR) of frp1+ that was under the control of a regulatable promoter. Results showed that Puf2 and Puf4 accelerate the destabilization of mRNAs containing the frp1+ 3′UTR which harbors two Pumilio response elements (PREs). Binding studies revealed that the PUM‐homology RNA‐binding domain of Puf2 and Puf4 expressed in Escherichia coli specifically interacts with PREs in the frp1+ 3′UTR. Using RNA immunoprecipitation in combination with reverse transcription qPCR assays, results showed that Puf2 and Puf4 interact preferentially with frp1+ mRNA under basal and iron‐replete conditions, thereby contributing to inhibit Frp1 production and protecting cells against toxic levels of iron.
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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) | 0.001 | 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".