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Record W2342189534 · doi:10.1111/tra.12407

Cadherin Trafficking for Tissue Morphogenesis: Control and Consequences

2016· review· en· W2342189534 on OpenAlexaff
Junior J. West, Tony Harris

Bibliographic record

VenueTraffic · 2016
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHippo pathway signaling and YAP/TAZ
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsExocystBiologyCell biologyAdherens junctionMorphogenesisCadherinCell polarityEndocytosisZebrafishDynaminExocytosisRabCellGTPaseSecretionGenetics

Abstract

fetched live from OpenAlex

Cadherin-based adherens junctions are critical for connecting cells in tissues. Regulated cadherin trafficking also makes these complexes amazingly dynamic, with permissive and instructive consequences on multicellular development. Here, we review how cadherin trafficking affects various forms of tissue morphogenesis from Drosophila and Caenorhabditis elegans to zebrafish, Xenopus and mouse. We describe how core trafficking machinery (such as clathrin, dynamin, Rab small G proteins and the exocyst complex) integrates with other molecular systems (transcriptional factors, signaling pathways, microtubules, actin networks, apico-basal polarity proteins and planar cell polarity proteins) to control cadherin endocytosis, exocytosis and recycling. This control can occur at all cell-cell contacts or specific junctions for distinct effects on tissue morphogenesis during animal development.

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)0.000
metaresearch head score (Gemma)0.000
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: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.033
GPT teacher head0.314
Teacher spread0.281 · 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
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

Citations45
Published2016
Admission routes1
Has abstractyes

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