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Record W1763520395 · doi:10.1139/bcb-2014-0065

Ser9-phosphorylated GSK3β induced by 14-3-3ζ actively antagonizes cell apoptosis in a NF-κB dependent manner

2014· article· en· W1763520395 on OpenAlexvenueno aff
Xuejuan Gao, Yujiao He, Ling‐Mei Gao, Junxia Feng, Yingying Xie, Xiaohui Liu, Langxia Liu

Bibliographic record

VenueBiochemistry and Cell Biology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topic14-3-3 protein interactions
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsGSK-3PhosphorylationGSK3BCell biologyKinaseChemistryBiology

Abstract

fetched live from OpenAlex

The activity of glycogen synthase kinase beta (GSK3β) is mainly regulated by its Ser9 phosphorylation. It has been believed for a long time that Ser9 phosphorylation regulates the functions of GSK3β through inhibition of its kinase activity. In this study, we have confirmed the interaction of Ser9-phosphorylated GSK3β with 14-3-3ζ by using GST pull-down assays. We show that 14-3-3ζ enhances Ser9 phosphorylation of GSK3β by PKC. Surprisingly, using a NF-κB luciferase reporter system, we find that Ser9-phosphorylation of GSK3β promoted by 14-3-3ζ is critical for the activation of NF-κB pathway, which may thwart the pro-apoptotic activity of GSK3β. Inhibition of either NF-κB or GSK3β significantly abolishes the anti-apoptotic effect of 14-3-3ζ and Ser9-phosphorylated GSK3β, suggesting that Ser9-phosphorylated GSK3β actively antagonizes cell apoptosis in a NF-κB dependent manner.

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 categoriesMeta-epidemiology (narrow)
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 score0.027
Threshold uncertainty score1.000

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 integrity0.0010.000
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 head0.225
Teacher spread0.219 · 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.

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

Citations18
Published2014
Admission routes1
Has abstractyes

Explore more

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