The glycerol 3‐phosphate acyltransferases Gat1p and Gat2p are microsomal phosphoproteins with differential contributions to polarized cell growth
Bibliographic record
Abstract
Glycerol‐3‐phosphate acyltransferase (GPAT) catalyses the initial commited step in the synthesis of all glycerolipids. It is a redundant step in yeast, mammals and plants. S. cerevisiae possesses two GPATs, encoded by GAT1 and GAT2. Metabolic analysis of yeast lacking either GAT1 or GAT2 indicated partitioning of the two main branches of phospholipid synthesis at the initial and rate limiting GPAT step. We are interested in identifying molecular determinants mediating lipid metabolic pathway partitioning, thus as a start point we have performed a detailed study of Gat1p and Gat2p cellular localization. We have compared Gat1p and Gat2p localization by fluorescence microscopy and subcellular fractionation using equilibrium density gradients. Our results indicate i) Gat1p and Gat2p mostly overlap in their localization and are in fact microsomal GPATs, and ii) there is a differential enrichment of Gat1p and Gat2p in distinct ER fractions. Overexpression of these enzymes in the absence of endogenous GPATs, induces proliferation of distinct ER arrays, differentially affecting cortical ER morphology and polarized cell growth. In addition, our studies also uncovered a dynamic post‐translational regulation of Gat1p and Gat2p, and a compensation mechanism through phosphorylation that responds to cellular GPAT imbalance. This work has been supported by a grant from NSERC.
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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 | 0.000 |
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".