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Record W1986394650 · doi:10.1002/dvdy.22466

<i>Gsk3β</i> is required in the epithelium for palatal elevation in mice

2010· article· en· W1986394650 on OpenAlexfundno aff
Fenglei He, Anthony P. Popkie, Wei Xiong, Lu Li, Ying Wang, Christopher J. Phiel, Yiping Chen

Bibliographic record

VenueDevelopmental Dynamics · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsnot available
FundersNational Institute of Dental and Craniofacial ResearchAgence Nationale pour la Gestion des Déchets RadioactifsNational Institute on AgingNational Institutes of HealthUniversity of ManitobaUniversity of Rochester
KeywordsWnt signaling pathwayBiologyEpitheliumCell biologyBeta-cateninMutantCateninAnatomySignal transductionGeneGenetics

Abstract

fetched live from OpenAlex

In Wnt/β-catenin signaling pathway, Gsk3β functions to facilitate β-catenin degradation. Inactivation of Gsk3β in mice causes a cleft palate formation, suggesting an involvement of Wnt/β-catenin signaling during palatogenesis. In this study, we have investigated the expression pattern, tissue-specific requirement and function of Gsk3β during mouse palatogenesis. We showed that Gsk3β is primarily expressed in the palatal epithelium, particularly in the medial edge epithelium overlapping with β-catenin. Tissue-specific gene inactivation studies demonstrated an essential role for Gsk3β in the epithelium for palate elevation, and disruption of which contributes to cleft palate phenotype in Gsk3β mutant. We observed that expression of Aixn2, a direct target gene of Wnt/β-catenin signaling, is ectopically activated in the mutant tongue, but not in the palate. Our results indicate that Gsk3β is an intrinsic regulator required in the epithelium for palate elevation, and could act through a pathway independent of Wnt/β-catenin signaling to regulate palate development.

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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.248
Teacher spread0.237 · 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

Citations37
Published2010
Admission routes1
Has abstractyes

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