A combination of insulin and ubiquitin A20 promotes osteocalcin expression in adipose-derived stem cells
Bibliographic record
Abstract
Osteocyte generation can be used in bone defect repair; the generation efficiency needs to be further improved. This study aims to evaluate the role of ubiquitin A20 (A20) in facilitating the expression of osteocalcin in adipose-derived stem cells (ADSCs). In this study, adipose tissue was obtained from 10 healthy human subjects; ADSCs were isolated from the adipose samples. The ADSCs were transfected with core binding factor alpha 1 (Cbfa1) and/or insulin-like growth factor-1 receptor (IGF-1R). Expression of osteocalcin, A20 in ADSCs was assessed by quantitative RT-PCR (qRT-PCR) and Western blotting. Apoptosis of ADSCs was analyzed by flow cytometry. The results showed that after the gene transfection and stimulation of insulin, the ADSCs expressed high levels of osteocalcin. However, apoptotic ADSCs were induced by the activation of IGF-1R. Exposure to insulin down-regulated the expression of Bcl-xL and A20, and increased Bax, in ADSCs. The addition of exogenous A20 prevented the ADSC apoptosis. We conclude that activation of IGF-1R can induce apoptosis in ADSCs, which can be prevented by addition of exogenous A20.
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 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) | 0.001 | 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".