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Record W1968137943 · doi:10.1074/jbc.m406310200

Integrin-linked Kinase Regulates the Nuclear Entry of the c-Jun Coactivator α-NAC and Its Coactivation Potency

2004· article· en· W1968137943 on OpenAlexafffund
Isabelle Quélo, Claude Gauthier, Gregory E. Hannigan, Shoukat Dedhar, René St‐Arnaud

Bibliographic record

VenueJournal of Biological Chemistry · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsBC Cancer AgencyUniversity of TorontoUniversity of British ColumbiaMcGill UniversityShriners Hospitals for Children - Canada
FundersMcGill University
KeywordsCoactivatorCell biologyKinaseIntegrinChemistryPotencyCoactivationNuclear export signalBiologyNeuroscienceGeneTranscription factorReceptorCell nucleusBiochemistryIn vitroNucleus

Abstract

fetched live from OpenAlex

Overexpression of the integrin-linked kinase (ILK) was shown to increase c-Jun-dependent transcription. We now show that this effect of ILK involves the c-Jun transcriptional coactivator, nascent polypeptide-associated complex and coactivator alpha (alpha-NAC). ILK phosphorylated alpha-NAC on residue Ser-43 upon adhesion of cells to fibronectin. Co-expression of constitutively active ILK with alpha-NAC led to the nuclear accumulation of the coactivator. Conversely, alpha-NAC remained in the cytoplasm of cells transfected with a dominant-negative ILK mutant, and a mutated alpha-NAC at phosphoacceptor position Ser-43 (S43A) also localized outside of the nucleus. The S43A alpha-NAC mutant could not potentiate the effect of ILK on c-Jun-dependent transcription. We conclude that ILK-dependent phosphorylation of alpha-NAC induced the nuclear accumulation of the coactivator and that phosphorylation of alpha-NAC by ILK is required for the potentiation of c-Jun-mediated responses by the kinase. The results represent one of the rare examples of a transcriptional coactivator shuttling between the cytosol and the nucleus.

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)0.001
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 score0.008
Threshold uncertainty score0.206

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.016
GPT teacher head0.249
Teacher spread0.233 · 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

Citations51
Published2004
Admission routes2
Has abstractyes

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