Isolation of Neural Stem Cells Using Platelet Derived Growth Factor C
Bibliographic record
Abstract
Summary Here, we show that Platelet-Derived Growth Factor C (PDGFC) supports the isolation of neural stem cells (NSCs) from the murine subventricular zone (SVZ) and maintains them in quiescent and slowly proliferating states. We also show that NSCs isolated using PDGFC can be induced to proliferate rapidly when switched to media supplemented with Epidermal Growth Factor and Fibroblast Growth Factor (EGF/FGF), the gold standard growth condition for NSCs. Although patterns of gene expression in NSCs isolated in PDGFC or in EGF/FGF are similar, a comparative analysis of quiescence genes reveals that NSCs in PDGFC are more like SVZ tissue than are NSCs maintained in EGF/FGF. In addition, NSCs isolated using PDGFC transition to oligodendrocyte progenitor cells (OPCs) when FGF is added to PDGFC and have an expression profile indistinguishable from OPCs that are isolated traditionally using PDGFA/FGF.
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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) | 0.001 | 0.001 |
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".