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Record W2200304501 · doi:10.1242/jcs.115.3.517

Pax3 induces cell aggregation and regulates phenotypic mesenchymal-epithelial interconversion

2002· article· en· W2200304501 on OpenAlexaff
O’Neil Wiggan, Marc P. Fadel, Paul A. Hamel

Bibliographic record

VenueJournal of Cell Science · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRenal and related cancers
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBiologyCell biologyPhenotypeMesenchymal stem cellHepatocyte growth factorEmbryonic stem cellTranscription factorCellEpithelial–mesenchymal transitionGeneticsGeneTransition (genetics)

Abstract

fetched live from OpenAlex

Paired box-containing transcription factors play fundamental roles in pattern formation during embryonic development of diverse organisms ranging from Drosophila to mammals. Although mutations to Pax3 and other Pax-family genes in both mice and humans result in numerous tissue-specific morphological defects, little is known about the cellular processes that Pax genes regulate. We show that extopic Pax3 expression in two distinct phenotypically mesenchymal mammalian cell lines induces the formation of multi-layered condensed cell aggregates with epithelial characteristics. For one of these lines, we showed further that Pax3-induced cell aggregation is accompanied by specific morphological changes, including a significant reduction in cell size, altered cell shape and dramatic alterations to both membrane and cytoskeleton architecture. In addition to mediating a phenotypic mesenchymal-to-epithelial transition, Pax3 also establishes the conditions in these cells for a subsequent hepatocyte growth factor/scatter factor (HGF/SF)-induced phenotypic epithelial-to-mesenchymal transition. Thus, our data show a novel morphogenetic activity for Pax3 which, when absent in vivo, is predicted to give rise to the observed structural defects in somites and the neural tube during embryonic 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 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 score0.007
Threshold uncertainty score0.192

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 head0.006
GPT teacher head0.202
Teacher spread0.196 · 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

Citations48
Published2002
Admission routes1
Has abstractyes

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