Activity of Specific Lipid-regulated ADP Ribosylation Factor-GTPase–activating Proteins Is Required for Sec14p-dependent Golgi Secretory Function in Yeast
Bibliographic record
Abstract
Yeast phosphatidylinositol transfer protein (Sec14p) coordinates lipid metabolism with protein-trafficking events. This essential Sec14p requirement for Golgi function is bypassed by mutations in any one of seven genes that control phosphatidylcholine or phosphoinositide metabolism. In addition to these "bypass Sec14p" mutations, Sec14p-independent Golgi function requires phospholipase D activity. The identities of lipids that mediate Sec14p-dependent Golgi function, and the identity of the proteins that respond to Sec14p-mediated regulation of lipid metabolism, remain elusive. We now report genetic evidence to suggest that two ADP ribosylation factor-GTPase-activating proteins (ARFGAPs), Gcs1p and Age2p, may represent these lipid-responsive elements, and that Gcs1p/Age2p act downstream of Sec14p and phospholipase D in both Sec14p-dependent and Sec14p-independent pathways for yeast Golgi function. In support, biochemical data indicate that Gcs1p and Age2p ARFGAP activities are both modulated by lipids implicated in regulation of Sec14p pathway function. These results suggest ARFGAPs are stimulatory factors required for regulation of Golgi function by the Sec14p pathway, and that Sec14p-mediated regulation of lipid metabolism interfaces with the activity of proteins involved in control of the ARF cycle.
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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".