Patterns of migration and regulation of trunk neural crest cells in zebrafish (Danio rerio)
Bibliographic record
Abstract
Regulation is the replacement of lost, undifferentiated embryonic cells by neighboring cells in response to environmental signals. Neural crest cells, embryonic cells unique to craniates, are good candidates for studies of regulation because they are pluripotent, and thus might be able to alter their behavior in response to environmental signals. This study investigated regulation for the loss of trunk neural crest (TNC) cells, specifically pigment derivatives, in the zebrafish, Danio rerio. The first part of the study clarifies and extends what has previously been described on normal patterns of TNC migration and differentiation. These data were then used to address the hypothesis that there is regulation for loss of TNC, and that regulation would vary with the amount removed, the position or stage of removal. Zebrafish TNC cells are large and numerous. SEM and Dil labeling revealed that TNC cells undergo several successive waves of 'sheet' and 'segmental' migration, beginning as early as the 12 somite stage. Dil-labeled TNC cells often migrated several somite lengths anteriorly and posteriorly along the trunk axis to form glial cells, ganglia, pigment, ectomesenchyme and tail reticular cells. Regulation occurred on a sliding scale, ranging from complete to incomplete. Defects in development and/or pigmentation occurred if large regions of TNC cells were removed, or if cells were removed from anterior (cardiac) and posterior (tail) extremities of the trunk. Melanophores were the cell type most visibly affected by TNC extirpations. Otherwise, pigmentation was remarkably normal. We propose that the completeness of regulation largely depends upon healing of the overlying epidermis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".