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Record W2326687951 · doi:10.1158/1538-7445.am2012-1185

Abstract 1185: Plakoglobin (β-catenin) interacts with the transcription factor p53 and regulates the expression of genes involved in tumorigenesis and metastasis

2012· article· en· W2326687951 on OpenAlexaff
Zackie Aktary, Manijeh Pasdar

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicWnt/β-catenin signaling in development and cancer
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPlakoglobinCateninBiologyCell biologyChromatin immunoprecipitationTranscription factorCancer researchCarcinogenesisGene expressionMolecular biologySignal transductionGeneGeneticsPromoterWnt signaling pathway

Abstract

fetched live from OpenAlex

Abstract Plakoglobin (β-catenin) and β-catenin are highly homologous proteins that function in cell-cell adhesion and signaling. Both proteins exist in a cadherin-associated form, which mediates adhesion, and in a distinct cytosolic/nuclear form, which plays a signaling role. Despite their interactions with common cellular partners, β-catenin has well documented oncogenic potential while plakoglobin expression is generally associated with tumor/metastasis suppression. The underlying mechanisms for this activity of plakoglobin are unclear. We previously showed that plakoglobin expression in oral squamous carcinoma cells (SCC9-PG) resulted in a mesenchymal-epidermoid transition, which was concurrent with increased N-cadherin and decreased β-catenin levels. Comparison of the RNA and protein profiles of SCC9 cells and SCC9-PG transfectants identified a number of differentially expressed proteins and transcripts, which suggested that plakoglobin regulates gene expression. Closer analysis of the mRNA profiles of SCC9 and SCC9-PG cells identified several p53 target genes that were differentially expressed upon plakoglobin expression, suggesting that plakoglobin may regulate gene expression in conjunction with p53. Here, we describe the ability of plakoglobin to regulate three potential p53 target genes: the tumor and metastasis suppressors 14-3-3α and Nm23 and the tumor promoter SATB1. We show, by RT-PCR and Western blot, that plakoglobin expression results in increased 14-3-3σ and Nm23 and decreased SATB1 mRNA and protein levels. Co-immunoprecipitation experiments show that plakoglobin and p53 interact, and that these interactions occur in both the cytoplasm and the nucleus. Chromatin immunoprecipitation and Electrophoretic mobility shift assays (EMSA) indicate that plakoglobin and p53 associate with the promoters of these target genes. Finally, luciferase reporter assays confirm that plakoglobin regulates the expression of these p53 target genes. Taken together, the results of these studies provide strong evidence that plakoglobin plays an active role in regulating gene expression, a function that has not often been associated with plakoglobin. 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 1185. doi:1538-7445.AM2012-1185

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

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)0.0050.001

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 head0.058
GPT teacher head0.332
Teacher spread0.274 · 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 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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