Human Fetal Oligodendrocyte Progenitor Cells from Different Gestational Stages Exhibit Substantially Different Potential to Myelinate
Bibliographic record
Abstract
To investigate age-related intrinsic regulation of the capacity of human fetal oligodendrocyte progenitor cells (OPCs) to myelinate, potential OPCs were selected from 15- to 23-gestational-week (gw) human fetal brain tissue based on the expression of gangliosides--recognized with the monoclonal antibody A2B5, which detects multipotent cells including OPCs--or platelet-derived growth factor receptor α (PDGFRα), an early marker of the oligodendroglial lineage. Cells were either cultured alone or cocultured with rat dorsal root ganglia neurons (DRGNs). When cultured alone, both the A2B5- and PDGFRα-selected cells exhibited age-dependent increases in early to mid-stage lineage markers, including sulfatides (O4 antibody) and the transcription factor Olig2, while the cell death rate correlated negatively with age. In coculture with neurons, cells also expressed the myelin components galactocerebroside (GC) and myelin basic protein (MBP), and ensheathed axons. In DRGN cocultures, A2B5+ cells derived from >19 gw produced more GC+/MBP+ cells compared with the 15-17-week cells. The number of GC+ cells making axonal contacts, and ensheathing axonal segments per cell increased proportionally to gestational age. This age-dependent difference in GC/MBP cell number and capacity to ensheath axons persisted when PDGFRα selection was used to enrich for the number of OPCs in cultures derived from younger ages. Addition of the growth factors brain-derived neurotrophic factor (BDNF) and insulin-like growth factor 1 (IGF-1) enhanced OPC differentiation under all conditions. These findings indicate that intrinsic regulatory mechanisms associated with the chronological age of the donor cells are key variables to assess when considering the myelination capacity of OPCs for cellular replacement therapy.
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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".