The role of <i>Candida albicans FAR1</i> in regulation of pheromone‐mediated mating, gene expression and cell cycle arrest
Bibliographic record
Abstract
Candida albicans cells homozygous for the MTLa locus respond to alpha-mating pheromone by activating gene expression and triggering morphological changes, and the cells undergo a pheromone-mediated cell cycle arrest that can be influenced by nutritional conditions. Disruption of C. albicans ORF19.7105, which is the predicted homologue of the yeast FAR1 gene, blocks pheromone-mediated morphological changes, prevents pheromone-mediated cell cycle arrest, greatly compromises mating and also blocks pheromone-triggered gene induction. C. albicans ORF19.7105 is not pheromone inducible, but overexpression of this gene from the actin promoter greatly enhances pheromone-mediated cell cycle arrest, leading to clear halos in growth inhibition assays on a variety of solid media. Transcriptional profiling of the ORF19.7105-overexpressing strain has established an enhanced responsiveness of pheromone-induced genes. Thus the C. albicans FAR1 gene is a dosage-dependent regulator of the pheromone response, and is critically required for all aspects of mating process of this pathogenic fungus.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".