Abstract 3191: Glypican-5 stimulates rhabdomyosarcoma cell proliferation by activating hedgehog signaling
Bibliographic record
Abstract
Abstract Glypican-5 is one of the six members of the glypican family. It has been previously reported that glypican-5 stimulates the proliferation of rhabdomyosarcoma cells. In this study we show that this stimulatory activity of glypican-5 is due to its ability to promote Hedgehog signaling. We have previously shown that glypican-3, another member of the glypican family, inhibits Hedgehog signaling by competing with Patched for Hedgehog binding. Furthermore, we showed that glypican-3 binds to Hedgehog through its core protein but not to Patched. Here we demonstrate that glypican-5 can increase the binding of Sonic Hedgehog to Patched. We also show that glypican-5 can bind to both Hedgehog and Patched through its glycosaminoglycan chains. Interestingly, we found that the heparan sulfate chains of glypican-5 display a significantly higher degree of sulfation than those from glypican-3. In addition, we show that glypican-5 interacts with Hedgehog with a lower affinity than glypican-3. Based on these results, we propose that glypican-5 stimulates Hedgehog signaling by facilitating/stabilizing the interaction between Hedgehog and Patched. Note: This abstract was not presented at the AACR 101st Annual Meeting 2010 because the presenter was unable to attend. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 3191.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".