An optimized and validated protocol for the purification of PDGFRα+ oligodendrocyte precursor cells from mouse brain tissue via immunopanning
Why this work is in the frame
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Bibliographic record
Abstract
Immunopanning is an efficient and reliable method for isolating primary cells from rodent brain tissue, making it a valuable tool for researchers interested in in vitro glial models. Here, we present an immunopanning protocol optimized for the isolation of Platelet-Derived Growth Factor Receptor Alpha positive (PDGFRα+) oligodendrocyte precursor cells (OPCs) from mouse brain tissue that results in a high yield of pure OPCs from minimal quantities of starting tissue.•The protocol presented here is optimized for a PDGFRα-dependent selection of mouse OPCs using a commercial antibody, accounting for the relatively weaker adhesion of OPCs to the anti-PDGFRα plate as compared to other oligodendrocyte lineage markers (e.g., MOG).•A modified papain digestion step, with 95% O2/5% CO2 gas that is humidified prior to perfusion, significantly enhances the yield of dissociated cells and final yield of OPCs.•Isolating OPCs at the PDGFRα+ stage permits the expansion of cells in culture, facilitating studies using transgenic mice, and enables studies on the development of the oligodendrocyte lineage without the spatial and temporal complexity of in vivo studies.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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) | 0.000 | 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 it