Ubiquitin specific peptidase Usp53 regulates osteoblast versus adipocyte lineage commitment
Bibliographic record
Abstract
We have previously shown that parathyroid hormone (PTH) induces the phosphorylation of the DNA-binding protein Nascent polypeptide associated complex And Coregulator alpha (NACA), leading to nuclear translocation of NACA and activation of target genes. Using ChIP-Seq against NACA in parallel with RNA-sequencing, we report the identification of Ubiquitin Specific Peptidase 53 (Usp53) as a target gene of PTH-activated NACA in osteoblasts. A binding site for NACA within the ChIP fragment from the Usp53 promoter was confirmed by electrophoretic mobility shift assay. Activity of the Usp53 promoter (- 2325/+ 238 bp) was regulated by the JUN-CREB complex and this activation relied on activated PKA and the presence of NACA. Usp53 knockdown in ST2 stromal cells stimulated expression of the osteoblastic markers Bglap2 (Osteocalcin) and Alpl (Alkaline phosphatase) and inhibited expression of the adipogenic markers Pparg and Cebpa. A similar effect was measured when knocking down Naca. During osteoblastogenesis, the impact of Usp53 knockdown on PTH responses varied depending on the maturation stage of the cells. In vivo implantation of Usp53-knockdown bone marrow stromal cells in immunocompromised mice showed an increase in osteoblast number and a decrease in adipocyte counts. Our data suggest that Usp53 modulates the fate of mesenchymal cells by impacting lineage selection.
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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) | 0.002 | 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".