Extracellular ADP regulates lesion‐induced<i>in vivo</i>cell proliferation and death in the zebrafish retina
Bibliographic record
Abstract
Regeneration and growth that occur in the adult teleost retina by neurogenesis have been helpful in identifying molecular and cellular mechanisms underlying cell proliferation and differentiation. In this report, we demonstrate that endogenous purinergic signals regulate cell proliferation induced by a cytotoxic injury of the adult zebrafish retina which mainly damages inner retinal layers. Particularly, we found that ADP but not ATP or adenosine significantly enhanced cell division as assessed by 5-bromo-2'-deoxyuridine incorporation following injury, during the degenerative and proliferative phase of the regeneration process. This effect of ADP occurs via P2Y1 metabotropic receptors as shown by intra-ocular injection of selective antagonists. Additionally, we describe a role for purinergic signals in regulating cell death induced by injury. Scavenging of extracellular nucleotides significantly increased cell death principally seen in the inner retinal layers. This effect is partially reproduced by blocking P2Y1 receptors suggesting a neuroprotective function for ADP, which is derived from extracellular ATP probably released by dying cells as a consequence of the ouabain treatment. This study demonstrates a crucial role for ADP as a paracrine signal in the repair of retinal tissue following 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) | 0.000 | 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 | 0.000 |
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".