Characterization of Neural Stem/Progenitor Cells in the Brain of the Leopard Gecko ( <i>Eublepharis macularius</i> )
Bibliographic record
Abstract
Many lizard species can regenerate their spinal cord following tail loss. There is increasing evidence to suggest that populations of neural stem/progenitor cells (NSPCs) in the original spinal cord are activated after the tail has been lost, and contribute to regeneration. For the brain, less known. Here, we used a panel of NSPC markers and a bromodeoxyuridine (BrdU) pulse‐chase experiment to characterize the presence of potential NSPCs in the adult brain of the leopard gecko. Prior to tail loss, we determined that some cells bordering the ventricular system (including the lateral, third and fourth ventricles) are slow‐cycling (retained BrdU for 20 weeks) and express several widely recognized NSPC markers including Sox2, Sox9 and GFAP. Following tail loss, subsets of these same cells begin to proliferate (as evidenced by PCNA immunostaining) and express an additional NSPC marker, Musashi‐1. These findings offer compelling support for the presence of NSPCs in the adult lizard brain, and suggest that similar to the spinal cord, these populations are activated in response to injury. NSERC Grant:400358
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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 | 0.001 | 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".