Identification and characterization of CRT10 as a novel regulator of Saccharomyces cerevisiae ribonucleotide reductase genes
Bibliographic record
Abstract
The CRT10 gene was identified through screening of the Saccharomyces cerevisiae deletion library for hydroxyurea (HU) resistance. CRT10 encodes a putative 957 amino acid, 110 kDa protein with a leucine repeat and a WD40 repeat near the N-terminus. Deletion of CRT10 resulted in an enhanced resistance to HU reminiscent of the inactivation of two other ribonucleotide reductase (Rnr) suppressors, CRT1 and SML1, which regulate Rnr activity at transcriptional and translational levels, respectively. Epistatic analysis indicates that CRT10 belongs to the CRT1 pathway but not the SML1 pathway. Indeed, deletion of CRT10 enhanced the survival of the mec1 null mutant and increased basal level and DNA damage-induced expression of RNR2 and RNR3, suggesting that Crt10 regulates RNR genes at the transcriptional level. Furthermore, the dun1 mutation is epistatic to crt10 with respect to both HU sensitivity and RNR gene expression. Interestingly, the expression of CRT10 itself is induced by DNA damaging agents and this induction requires DUN1, suggesting that CRT10 plays a role in cellular response to DNA damage and replication blocks. The CRT10 function appears to be achieved by positive regulation of the CRT1 transcript level, indicating that CRT10 is a component of the regulatory circuit.
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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".