Isolation of Oligodendroglial Cells from Cultured Neural Stem/Progenitors
Bibliographic record
Abstract
The central nervous system (CNS) is composed of multiple cell types formed through a process of lineage commitment and phenotypic differentiation of stem-like progenitor cells into three key cell types: neurons, astrocytes, and oligodendrocytes. The ability to isolate and culture these CNS stem/progenitors has facilitated the characterization of the molecular mechanisms that regulate this process, in the hopes of providing therapeutically effective cells to treat disease and injury. Although astroglial, and to a lesser extent some neuronal, phenotypes are robustly generated when these cultured stem/progenitor cells are induced to differentiate, oligodendrocytes that form the myelin-rich sheath that allows nerves to conduct action potentials are only formed at a low frequency. This relatively low frequency has necessitated the development of methods for quantifying oligodendroglial phenotypes in vitro, with greater precision and accuracy than the standard technique of microscopic counting by hand. Here, we describe the isolation of neural stem cells and the application of intracellular flow cytometry to quantify oligodendroglial phenotypes in cultured CNS stem/progenitor cells using commercially available kits.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".