Use of Retinal Explants to Examine the Effect of Granulocyte-Macrophage Colony-Stimulating Factor on Neurite Growth
Bibliographic record
Abstract
Adult mammalian central nervous system (CNS) neurons fail to regenerate after injury.Both the extracellular environment and the intrinsic growth state of neurons affect their ability to regenerate.The cytokine granulocyte-macrophage colony-stimulating factor (GM-CSF), known to promote cell survival, may also activate cellular growth programs.In this thesis, the effect of GM-CSF on CNS neurite growth was investigated.The retina, an easily accessible region of the CNS, was examined.Pieces of retinal tissue -retinal explants -were maintained in culture and varying doses of GM-CSF were applied.The growth of retinal ganglion cells (RGC) neurites was quantified.The results indicated that GM-CSF enhanced lengthy neurite growth in embryonic mouse retinal explants.The retinal explantation technique optimized in this study could be used to test the role of potential agents in growth-promotion.Ultimately, long-distance neuronal regeneration is critical in functional recovery after neural injury.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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".