The cellular composition of neurogenic periventricular zones in the adult zebrafish forebrain
Bibliographic record
Abstract
A central goal of adult neurogenesis research is to characterize the cellular constituents of a neurogenic niche and to understand how these cells regulate the production of new neurons. Because the generation of adult-born neurons may be tightly coupled to their functional requirement, the organization and output of neurogenic niches may vary across different regions of the brain or between species. We have undertaken a comparative study of six (D, Vd, Vv, Dm, Dl, Ppa) periventricular zones (PVZs) harboring proliferative cells present in the adult forebrain of the zebrafish (Danio rerio), a species known to possess widespread neurogenesis throughout life. Using electron microscopy, we have documented for the first time the detailed cytoarchitecture of these zones, and propose a model of the cellular composition of pallial and subpallial PVZs, as well as a classification scheme for identifying morphologically distinct cell types. Immunolabeling of resin-embedded tissue confirmed the phenotype of three constitutively proliferating (bromodeoxyuridine [BrdU]+) cell populations, including a radial glial-like (type IIa) cell immunopositive for both S100β and glutamine synthetase (GS). Our data revealed rostrocaudal differences in the density of distinct proliferative populations, and cumulative labeling studies suggested that the cell cycle kinetics of these populations are not uniform between PVZs. Although the peak numbers of differentiated neurons were generated after ~2 weeks among most PVZs, niche-specific decline in the number of newborn neurons in some regions occurred after 4 weeks. Our data suggest that the cytoarchitecture of neurogenic niches and the tempo of neuronal production are regionally distinct in the adult zebrafish forebrain.
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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) | 0.000 | 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 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".