Ganglioside Markers GD3, GD2, and A2B5 in Fetal Human Neurons and Glial Cells in Culture
Bibliographic record
Abstract
Expression of ganglioside markers GD3, GD2, and A2B5 was investigated in primary cell cultures isolated from fetal human brains of 12-15 weeks' gestation by immunocytochemistry. None of neuron-specific enolase (NSE)+ neurons expressed GD3, while large numbers of NSE+ neurons expressed GD2 (72%) or A2B5 (48%). In GFAP+ astrocytes, GD3 was expressed in a small population (3%) with a high proliferative capacity. GD2 expression was observed in 20% of GFAP+ astrocytes, while A2B5 was identified in a very small number (2%) of GFAP+ astrocytes. GD2 was coexpressed in a small population (11%) of GD3+ astrocytes, while A2B5 was colocalized in more than 50% of GD3+ astrocytes. In galactocerebroside+ oligodendrocytes, GD3 expression was not observed but a small population (8-9%) expressed GD2 and A2B5. In Ricinus communis agglutinin (RCA)+ microglia, neither GD3, GD2, nor A2B5 were identified. Our results indicate that in fetal human brain cell cultures, GD3 is expressed in a small population of astrocytes, while both GD2 and A2B5 are expressed in a large population of neurons and smaller populations of astrocytes and oligodendrocytes. Our results suggest that both GD3 and A2B5, cell type-specific markers for oligodendrocyte-type 2 astrocyte progenitor cells in the rat central nervous system, could not be utilized as valid markers for glial precursor cells in fetal human brain cell cultures.
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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 | 0.001 |
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".