Lipid metabolism and vesicle trafficking: More than just greasing the transport machinery
Bibliographic record
Abstract
The movement of lipids from their sites of synthesis to ultimate intracellular destinations must be coordinated with lipid metabolic pathways to ensure overall lipid homeostasis is maintained. Thus, lipids would be predicted to play regulatory roles in the movement of vesicles within cells. Recent work has highlighted how specific lipid metabolic events can affect distinct vesicle trafficking steps and has resulted in our first glimpses of how alterations in lipid metabolism participate in the regulation of intracellular vesicles. Specifically, (i) alterations in sphingolipid metabolism affect the ability of SNAREs to fuse membranes, (ii) sterols are required for efficient endocytosis, (iii) glycerophospholipids and phosphorylated phosphatidylinositols regulate Golgi-mediated vesicle transport, (iv) lipid acylation is required for efficient vesicle transport mediated membrane fission, and (v) the addition of glycosylphosphatidylinositol lipid anchors to proteins orders them into distinct domains that result in their preferential sorting from other vesicle destined protein components in the endoplasmic reticulum. This review describes the experimental evidence that demonstrates a role for lipid metabolism in the regulation of specific vesicle transport events.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".