Dendritic Polyglycerol Amine Substrate Extends the Viability of Mixed Glial Cultures for Repeated Isolation of Immature Oligodendrocyte Lineage Cells
Bibliographic record
Abstract
Abstract Primary mixed glial cultures are key tools to isolate and study astrocytes, microglia and oligodendrocytes. Cell-substrate adhesion is critical for neural cell survival and differentiation. Cationic polymers like poly-D-lysine (PDL) are widely used to promote cell adhesion to cell culture substrates, however, PDL is not stable long-term, with cultured cells often detaching (peeling) after 2-3 weeks. Dendritic polyglycerol amine (dPGA) is a synthetic polycationic non-protein polymer biomimetic of poly-lysine that is highly resistant to degradation by cellular proteases. Substrates coated with dPGA promote cell adhesion and improve survival in long-term neuronal cultures. Here we assessed dPGA as a substrate coating to provide long-term support for mixed glial cultures. Oligodendrocyte precursor cells (OPCs) were isolated weekly by differential adhesion from cultures grown in T75 flasks with PDL or dPGA-coated substrates. Following two “shake-off” isolations, the cell layer in most PDL-coated flasks fully detached, rendering these flasks unusable for further culture. In contrast, dPGA-coated flasks consistently yielded cells for six or more sequential isolations over seven weeks in culture. dPGA-coated flasks produced more cells, a greater percentage of O4+ cells, and maintained similar proportions of OPCs and MBP-positive cells as when isolated from a PDL-coated substrate. dPGA is cyto-compatible, functionally superior, easy to use, low cost and a stable alternative to conventional cell substrate coatings. The enhanced long-term stability of mixed glial cultures grown on a dPGA substrate has the capacity to increase cellular yield, reduce animal use, and facilitate studies of oligodendrocyte cell biology.
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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".