Identification of a Novel One-carbon Metabolism Regulon in Saccharomyces cerevisiae
Bibliographic record
Abstract
Glycine specifically induces genes encoding subunits of the glycine decarboxylase complex (GCV1, GCV2, and GCV3), and this is mediated by a fall in cytoplasmic levels of 5,10-methylenetetrahydrofolate caused by inhibition of cytoplasmic serine hydroxymethyltransferase. Here it is shown that this control system extends to genes for other enzymes of one-carbon metabolism and de novo purine biosynthesis. Northern analysis of the response to glycine demonstrated that the induction of the GCV genes and the induction of other amino acid metabolism genes are temporally distinct. The genome-wide response to glycine revealed that several other genes are rapidly co-induced with the GCV genes, including SHM2, which encodes cytoplasmic serine hydroxymethyltransferase. These results were refined by examining transcript levels in an shm2Delta strain (in which cytoplasmic 5,10-methylenetetrahydrofolate levels are reduced) and a met13Delta strain, which lacks the main methylenetetrahydrofolate reductase activity of yeast and is effectively blocked at consumption of 5,10-methylene tetrahydrofolate for methionine synthesis. Glycine addition also caused a substantial transient disturbance to metabolism, including a sequence of changes in induction of amino acid biosynthesis and respiratory chain genes. Analysis of the glycine response in the shm2Delta strain demonstrated that apart from the one-carbon regulon, most of these transient responses were not contingent on a disturbance to one-carbon metabolism. The one-carbon response is distinct from the Bas1p purine biosynthesis regulon and thus represents the first example of transcriptional regulation in response to activated one-carbon status.
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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) | 0.000 | 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".