Sirt2 epigenetically down-regulates PDGFRα expression and promotes CG4 cell differentiation
Bibliographic record
Abstract
We have previously found that Sirt2 enhanced the outgrowth of cellular processes and MBP expression in CG4 cells, where Sirt2 expression is suppressed by transcription factor Nkx2.2. However, the detailed mechanism of Sirt2 facilitating oligodendroglial cell differentiation remained unclear. In the present study, we observed that Sirt2 partially translocated into the nuclei when CG4 cells were induced to differentiate. Sirt2 was detected at the CpG island of PDGFRα promoter via ChIP assay during the cells differentiation process rather than during the state of growth. Sirt2 deacetylated protein(s) bound to the promoter of PDGFRα and simultaneously appeared to facilitate histone3 K27 tri-methylation, both of which are suppressive signatures on gene transcription activation. In bisulfate assay, we identified that Sirt2 significantly induced DNA methylation of PDGFRα promoter compared with the control. Consistently, Sirt2 overexpression down-regulated PDGFRα expression in CG4 cells. The knock-down of PDGFRα or Sirt2 over-expression repressed cell proliferation, but knock-down of Sirt2 promoted cell proliferation. Taken together, Sirt2 translocated into the nuclei while the cells initiated a differentiation process, facilitating CG4 cell differentiation partially through epigenetic modification and suppression of PDGFRα expression. The repression of PDGFRα expression mediated by Sirt2 appeared to facilitate a transition of cellular processes, i.e. from a proliferating progenitor state to a post-mitotic state in CG4 cells.
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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) | 0.001 | 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".