Conditional expression of Hoxa2 gene in CG4 cells favours proliferation over differentiation of a myelinating phenotype
Bibliographic record
Abstract
Oligodendrocyte progenitor cells (OPCs) give rise to oligodendrocytes (OLs) to myelinate axons in CNS, both during development as well as after a demyelinating insult (e.g. multiple sclerosis). One transcription factor (TF), homeobox gene Hoxa2 , was shown to be expressed throughout early oligodendrogenesis (A2B5, O4 and Gal‐C +ve OL cells), but decreased significantly in MBP+ve OLs. The purpose of the present study was to determine the effect of over‐expressing Hoxa2 gene on the proliferation and differentiation of the OL‐like CG4 cells. Tetracycline (Tet)‐inducible gene expression system was employed to develop a genetically modified CG4 cell line (CG4‐Hoxa2). Stable cells were obtained after G418 and Hygromycin selection, respectively. Our results show that over‐expression of Hoxa2 increased the proliferation of these cells by 17±1.3% compared with wild‐type CG4 cells and cells transfected with control vector; there were no significant differences between the two control groups. In addition, up‐regulation of Hoxa2 appeared to increase the number of cells with a bipolar phenotype when fed with a differentiation medium. Stable CG4 cell line in which Hoxa2 expression can be down‐regulated is being developed. These cell lines will prove to be very useful in identifying the role of Hoxa2 gene in oligodendrogenesis (supported by CIHR and the MS Society of Canada).
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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) | 0.002 | 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".