A Sonic Hedgehog-Gli-Bmi1 signaling pathway plays a critical role in p27 deficiency induced bone anabolism
Bibliographic record
Abstract
To explore the mechanism of the bone anabolic action of p27 deficiency, we first confirmed that osteoblast formation and osteogenesis were significantly increased in p27 deficient mice compared with their wild-type littermates.Microarray analysis of differential gene expression profiles, followed by real-time RT-PCR and Western blots revealed that p27 deletion significantly upregulated the expression of Sonic hedgehog (Shh), Gli1 and 2 and their target gene Bmi1 in bone tissue, and significantly down regulated the expression of the negative regulators of the Shh pathway Sufu, Patched 1 and Gli3 in bone tissue.The Shh antagonist KAAD-cyclopamine or vismodegib significantly reduced osteogenesis of bone marrow mesenchymal stem cells (BM-MSCs) in vitro and osteoblastic bone formation in vivo.The results of chromatin immunoprecipitation and double luciferase assay demonstrated that p27 inhibited Shh transcription mediated via E2F4.Bmi1 knockout blocked the increase of osteoblastic bone formation induced by p27 deficiency in vivo.In conclusion, the results of this study indicate that the signaling pathway Shh-Gli-Bmi1 plays a critical role in p27 deficiency induced bone anabolic action, suggesting that Bmi1 may be an important therapeutic target for osteoporosis induced by activation of p27 signaling or inactivation of sonic hedgehog signaling.
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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) | 0.001 | 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".