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Record W2094298720 · doi:10.4161/fly.20143

Hipk proteins dually regulate Wnt/Wingless signal transduction

2012· article· en· W2094298720 on OpenAlexafffund
Esther M. Verheyen, Sharan Swarup, Wendy Lee

Bibliographic record

VenueFly · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicWnt/β-catenin signaling in development and cancer
Canadian institutionsBurnaby HospitalSimon Fraser University
FundersCanadian Institutes of Health Research
KeywordsArmadilloWnt signaling pathwayBiologyUbiquitinUbiquitin ligaseCell biologySignal transductionEffectorGeneticsGene

Abstract

fetched live from OpenAlex

The Wnt/Wingless (Wg) pathway is an evolutionarily conserved signaling system that is used reiteratively, both spatially and temporally, to control the development of multicellular animals. The stability of cytoplasmic β-catenin/Armadillo, the transcriptional effector of the pathway, is controlled by sequential N-terminal phosphorylation and ubiquitination that targets it for proteasome-mediated degradation. Orthologous members of the Homeodomain-interacting protein kinase family from Drosophila to vertebrates have been implicated in the regulation of Wnt/Wingless signaling. In Drosophila, as a consequence of Hipk activity, cells accumulate stabilized Armadillo that directs the expression of Wg-specific target genes. Hipk promotes the stabilization of Armadillo by inhibiting its ubiquitination (and hence subsequent degradation) by the SCF(Slimb) E3 ubiquitin ligase complex. Vertebrate Hipk2 impedes β-catenin ubiquitination to promote its stability and the Wnt signal in a mechanism that is functionally conserved. Moreover, we describe here that Hipk proteins have a role independent of their effect on β-catenin/Armadillo stability to enhance Wnt/Wingless signaling.

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 score0.002
Threshold uncertainty score0.005

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 communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.230
Teacher spread0.218 · 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

Citations9
Published2012
Admission routes2
Has abstractyes

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