MétaCan
Menu
Back to cohort
Record W2135474226 · doi:10.1091/mbc.e05-11-1002

Domains within the GARP Subunit Vps54 Confer Separate Functions in Complex Assembly and Early Endosome Recognition

2006· article· en· W2135474226 on OpenAlexafffund
Nicole R. Quenneville, Tzu‐Yuan Chao, J. Michael McCaffery, Elizabeth Conibear

Bibliographic record

VenueMolecular Biology of the Cell · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsUniversity of British Columbia
FundersNational Center for Research ResourcesMichael Smith Health Research BC
KeywordsEndosomeBiologyEndocytic cycleGolgi apparatusCell biologyProtein subunitOrganelleVesicular Transport ProteinsC-terminusLipid bilayer fusionTransport proteinN-terminusEndocytosisBiochemistryMembranePeptide sequenceEndoplasmic reticulumVacuolar protein sortingReceptorGene

Abstract

fetched live from OpenAlex

Tethering complexes contribute to the specificity of membrane fusion by recognizing organelle features on both donor and acceptor membranes. The Golgi-associated retrograde protein (GARP) complex is required for retrograde traffic from both early and late endosomes to the trans-Golgi network (TGN), presenting a paradox as to how a single complex can interact specifically with vesicles from multiple upstream compartments. We have found that a subunit of the GARP complex, Vps54, can be separated into N- and C-terminal regions that have different functions. Whereas the N-terminus of Vps54 is important for GARP complex assembly and stability, a conserved C-terminal domain mediates localization to an early endocytic compartment. Mutation of this C-terminal domain has no effect on retrograde transport from late endosomes. However, a specific defect in retrieval of Snc1 from early endosomes is observed when recycling from late endosomes to the Golgi is blocked. These data suggest that separate domains recruit tethering complexes to different upstream compartments to regulate individual trafficking pathways.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.219
Teacher spread0.207 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations50
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueMolecular Biology of the CellSame topicCellular transport and secretionFrench-language works237,207