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Record W4294567982 · doi:10.1002/dvdy.533

Glypican‐6 and Glypican‐4 stimulate embryonic stomach growth by regulating Hedgehog and noncanonical Wnt signaling

2022· article· en· W4294567982 on OpenAlexafffund
Wen Shi, Jorge Filmus

Bibliographic record

VenueDevelopmental Dynamics · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProteoglycans and glycosaminoglycans research
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
FundersCanadian Institutes of Health Research
KeywordsBiologyWnt signaling pathwayGlypican 3Cell biologyEmbryonic stem cellHedgehogSignal transductionGeneticsCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Glypicans are a family of proteoglycans that play important roles in embryonic morphogenesis. The mammalian genome contains six glypicans (GPC1 to GPC6). GPC6 and GPC4 are the pair of glypicans that show the highest degree of homology within the family. GPC6-null embryos display bone abnormalities and severely shortened intestines. RESULTS: We show that GPC6-null embryos display significantly smaller stomachs, and that Hedgehog and noncanonical Wnt signaling are dysregulated in GPC6-null stomachs. Like GPC6, GPC4 is expressed by the developing stomach. However, GPC4-null embryos have normal stomachs. To investigate whether GPC6 and GPC4 display functional overlap in the developing stomach, we crossed GPC4-null mice with GPC6 conditional mutants in which the expression of this glypican is severely reduced in the stomach. Notably, we found that the compound mutants display stomachs that are smaller than those of the GPC6 conditional mutants. We also found that this functional overlap between GPC6 and GPC4 is mediated by the noncanonical Wnt pathway. CONCLUSION: This study demonstrates that GPC6 stimulates the growth of the embryonic stomach via Wnt and Hh signaling. In addition, we uncovered a Wnt-mediated functional overlap between GPC6 and GPC4 in the developing stomach.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.006
GPT teacher head0.233
Teacher spread0.226 · 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

Citations8
Published2022
Admission routes2
Has abstractyes

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