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Record W1540730547 · doi:10.1002/0471143030.cb0313s26

Isolation of Clathrin‐Coated Vesicles by Differential and Density Gradient Centrifugation

2005· article· en· W1540730547 on OpenAlexaff
Martine Girard, Patrick D. Allaire, F Blondeau, Peter S. McPherson

Bibliographic record

VenueCurrent Protocols in Cell Biology · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsDifferential centrifugationVesicleEndocytosisFicollCentrifugationClathrinDensity gradientOrganelleSucrose gradientChemistryBiologyCell biologyBiophysicsMembraneBiochemistryReceptor

Abstract

fetched live from OpenAlex

Clathrin-coated vesicles (CCVs) are an important class of transport organelles that mediate the endocytosis of proteins and lipids at the plasma membrane and the transport of proteins from the trans-Golgi network to the endosomal/lysosomal system. The authors describe a protocol for isolating CCVs from adult rat brain using differential centrifugation, Ficoll and D(2)O-sucrose density gradient centrifugation, and velocity sedimentation in linear sucrose gradients. The application of this basic method to the isolation of CCVs from developing rat brains and to the generation of relatively crude CCVs from cultured cells is also described. Furthermore, we describe a protocol in which differential centrifugation and a series of discontinuous sucrose gradients are used to isolate CCVs from rat liver. An approach to analyzing CCV purity by electron microscopy is also described.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.016
GPT teacher head0.277
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations23
Published2005
Admission routes1
Has abstractyes

Explore more

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