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Record W2062850222 · doi:10.1002/pmic.201000253

Proteomic analysis of clathrin‐coated vesicles

2010· review· en· W2062850222 on OpenAlexaff
Peter S. McPherson

Bibliographic record

VenuePROTEOMICS · 2010
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsClathrinOrganelleProteomicsEndocytic cycleCell biologyGolgi apparatusClathrin adaptor proteinsEndosomeVesicleBiologyVesicular transport proteinFunction (biology)Secretory pathwayCOPIChemistryEndocytosisCellBiochemistryEndoplasmic reticulumMembrane

Abstract

fetched live from OpenAlex

For more than 50 years cell biologists have embraced the concept that biochemical and enzymatic analysis of isolated subcellular fractions provides insight into the function and machineries of cellular compartments including organelles. The utility of this approach has been significantly enhanced with the advent of mass spectrometry leading to the broad application of organelle proteomics. Clathrin-coated vesicles (CCVs) form at the plasma membrane where they select protein and lipid cargo for endocytic entry into cells. CCVs also form at the trans-Golgi network, where they function in protein transport from the secretory pathway to the endosomal/lysosomal system. Herein we will describe how organelle proteomics of CCVs has greatly expanded our knowledge of the machineries, mechanisms and sites of clathrin-mediated membrane trafficking.

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 score0.960
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.021
GPT teacher head0.282
Teacher spread0.261 · 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

Citations24
Published2010
Admission routes1
Has abstractyes

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