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Record W2322276682 · doi:10.1158/1538-7445.am2012-1238

Abstract 1238: Gab1 regulates epithelial cell polarity and scattering by acting as a platform for PAR proteins

2012· article· en· W2322276682 on OpenAlexaff
Ziqiang Yang, Benjamin G. Neel

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topic14-3-3 protein interactions
Canadian institutionsOntario Institute for Cancer Research
Fundersnot available
KeywordsCell polaritySignal transducing adaptor proteinCell biologyScaffold proteinPolarity (international relations)Tight junctionPhosphorylationChemistryCellSignal transductionBiologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Control of cell polarity plays a key role in numerous important biological processes, but the molecules and mechanisms that regulate polarity remain poorly defined. We found that the scaffolding adaptor Gab1, a component of multiple growth factor and cytokine signaling pathways, interacts with two PAR proteins, PAR1 and PAR3. Gab1 binds PAR1 and activates its kinase activity. Acting as a scaffold, Gab1 brings PAR1 and PAR3 into a transient complex, facilitating PAR3 phosphorylation by PAR1. Gab1 and PAR6 bind the PAR3 PDZ1 domain, and thereby compete for PAR3 binding. Consequently, depletion of Gab1 causes PAR3 hypo-phosphorylation and increased PAR3/PAR6 complex formation, resulting in accelerated formation of tight junctions, increased trans-epithelial electrical resistance and a shortened lateral domain in epithelial cells. Conversely, Gab1/PAR1 interaction enhances epithelial cell scattering. Thus, Gab1 is a novel regulator of epithelial cell polarity that acts as a platform for assembling and modulating PAR protein complexes. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 1238. doi:1538-7445.AM2012-1238

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)0.001
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 score0.047
Threshold uncertainty score0.486

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.053
GPT teacher head0.388
Teacher spread0.334 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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