Glypican‐6 and Glypican‐4 stimulate embryonic stomach growth by regulating Hedgehog and noncanonical Wnt signaling
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".