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Record W3211267133

Post-translational modification of β-catenin by O-glycosylation regulates its nuclear localization and transcriptional activity

2005· article· en· W3211267133 on OpenAlexaff
Paul A. Northcott, David W. Andrews, Brian Leber, Ria Sayat, Weija Zhu, Sujata Persad

Bibliographic record

VenueCancer Research · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsMcMaster UniversityJuravinski Cancer Centre
Fundersnot available
KeywordsAdherens junctionWnt signaling pathwayGlycosylationSignal transductionCell biologyChemistryCateninBiologyMolecular biologyBiochemistryCellCadherin
DOInot available

Abstract

fetched live from OpenAlex

4515 β-catenin is a multifunctional protein that serves a structural role at cell-cell adherens junctions and a regulatory function as a transcriptional activator mediating Wnt signal transduction. The proliferative effects of Wnt signaling are achieved by stabilization of cytosolic β-catenin, permitting accumulation of the protein and its subsequent translocation to the nucleus where it forms complexes with members of the TCF/LEF family of transcription factors to activate gene transcription. Cytosolic levels of β-catenin are tightly regulated by phosporylation; however, the mechanism(s) responsible for β-catenin nuclear entry is not well understood. Recently, β-catenin was reported to be modified post-translationally by O-glycosylation in breast cancer cells exposed to the intracellular calcium pump inhibitor, thapsigargin (TG). This type of modification involves attachment of β-N-acetylglucosamine (GlcNAc) to serine/threonine residues via an O-glycosidic linkage. In the present study, we demonstrate that β-catenin is modified by at least two distinct patterns of O-glycosylation: one that is recognized by the lectin, wheat germ agglutinin (WGA; w-O-GlcNAc), and another that is detected by a monoclonal antibody specific for O-GlcNAc modification (α-RL-2; r-O-GlcNAc). To evaluate whether O-glycosylation of β-catenin influences its signaling properties, we investigated β-catenin O-GlcNAc status in several cell lines, including the normal breast cell line, MCF-10A, and the breast tumor lines, MCF-7 and MDA-MB-231. These studies revealed that a significant amount of β-catenin in MCF-10A cells is glycosylated in a w-O-GlcNAc manner, while the cancer cells possessed negligible quantities of the w-O-GlcNAc-modified protein. In contrast, r-O-GlcNAc-modified β-catenin was detected at comparable levels in the three cell lines examined. Assessment of β-catenin status in nuclear extracts revealed the protein to be more abundant in the nucleus of the MCF-7 and MDA-MB-231 tumor cells than in normal MCF-10A cells, while w-O-GlcNAc-modified β-catenin was not observed in nuclear fractions prepared from any of the tested cell lines. Treatment of MCF-7 cells with TG induced a time-dependent increase in the abundance of w-O-GlcNAc-modified β-catenin. This increase in the w-O-GlcNAc-modified form of the protein was accompanied by a progressive decrease in its nuclear localization. TG treatment also resulted in an apparent suppression of β-catenin transcriptional activity, as evidenced by the dramatic reduction in the expression of cyclin D1, a major target of β-catenin transcriptional regulation. Collectively, our results suggest that w-O-glycosylation of β-catenin may represent a novel mechanism important in regulation of β-catenin nuclear localization and transcriptional activity.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.041
GPT teacher head0.355
Teacher spread0.314 · 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
Published2005
Admission routes1
Has abstractyes

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