Prokineticin 2 Expression Is Associated with Neural Repair of Injured Adult Zebrafish Telencephalon
Bibliographic record
Abstract
Prokineticin 2 (PROK2) is a secreted protein that regulates diverse biological processes including olfactory bulb neurogenesis in adult mammals. However, its precise role in this process is as yet not fully understood. Because it is well known that adult teleost fish, including zebrafish, display an intense proliferative activity in several brain regions, we took advantage of this feature to analyze the distribution of PROK2 transcripts in the adult zebrafish brain and during injury-induced telencephalon (TC) regeneration. First, we characterized the zebrafish PROK2 gene and showed that its transcription takes place in almost all proliferating areas previously identified in adult zebrafish brain. Moreover, in TC, PROK2 transcription was mainly restricted to neurons. Next, using a novel model of TC injury in adult zebrafish, we observed that TC lesion induced a dramatic increase in cell proliferation within the injured hemisphere in regions located both adjacent and distal to injury sites. Moreover, our data strongly suggest that cell proliferation was followed by the migration of newly generated neurons toward injury sites. In addition, we observed a transient over-expression of PROK2 transcripts, which was detected in cells surrounding the lesion during the very first days post injury, and, a few days later, in broad cell rows extending from cortical regions of the TC toward injury sites. PROK2 over-expression was no longer detected when the regeneration process was close to completion, showing that ectopic PROK2 transcription paralleled neuronal regeneration. Taken together, our results suggest that in adult zebrafish brain, PROK2 may play a role in both constitutive and injury-induced neurogenesis.
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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 | 0.001 |
| 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".