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Record W2052281039 · doi:10.1089/zeb.2011.0691

Dishevelled2 Is a Stable Protein During Early Zebrafish Development

2011· article· en· W2052281039 on OpenAlexaff
Whitney Lum, Joshua K. Robertson, Terence J. Van Raay

Bibliographic record

VenueZebrafish · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicWnt/β-catenin signaling in development and cancer
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsWnt signaling pathwayZebrafishRegulatorCell biologyBiologySignal transductionFunction (biology)Cancer researchGeneGenetics

Abstract

fetched live from OpenAlex

Wnt signaling is a major player during development and its misregulation often leads to disease, especially cancer. The negative feedback Wnt regulator homologs, Nkd1 and Nkd2, have been shown to inhibit Wnt signaling during development, and current evidence suggests that Nkds degrade Dvl proteins to antagonize Wnt signaling. Here, we demonstrate that during early zebrafish development Nkd1 does not alter either endogenous or exogenous levels of Dvl2. Furthermore, Dvl2 does not affect the levels of Nkd1. Cumulatively, these results demonstrate that Dvl2 is a ubiquitous and stable protein and that Nkds may not always function to degrade Dvl proteins as a method of inhibiting Wnt 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 score0.003
Threshold uncertainty score0.007

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)0.0020.001

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 head0.016
GPT teacher head0.203
Teacher spread0.187 · 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

Citations4
Published2011
Admission routes1
Has abstractyes

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