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Record W2038389268 · doi:10.1139/o01-139

Lipid metabolism and vesicle trafficking: More than just greasing the transport machinery

2001· review· en· W2038389268 on OpenAlexaffvenue
Christopher R. McMaster

Bibliographic record

VenueBiochemistry and Cell Biology · 2001
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsDalhousie University
Fundersnot available
KeywordsVesicleCell biologyEndoplasmic reticulumVesicular transport proteinLipid metabolismBiologyGolgi apparatusLipid dropletBiochemistryEndocytosisIntracellularCellMembrane

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.261
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations77
Published2001
Admission routes2
Has abstractyes

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