Expression of PKC in the developing zebrafish,Danio rerio
Bibliographic record
Abstract
Protein kinase C (PKC) is a family of enzymes involved in a wide range of biological functions. We investigated the expression of PKC-positive cells in zebrafish embryos and larvae within the first week of development to determine the developmental profile of PKC-containing cells. Our other goal was to determine if PKC alpha was associated with Rohon-Beard neurons during the first 5 days of development, when they are reported to undergo apoptosis. First, we confirmed the specificity of the antibodies by Western blotting zebrafish brain homogenates with anti-PKC and anti-PKC alpha, and detected single protein bands of approximately 78-82 kDa in size. Immunohistochemistry showed that several types of neurons were labeled, including neurons in the trigeminal ganglia, the dorsal spinal cord, and the dorsal root ganglia. Double-labeling with anti-PKC alpha and both anti-Islet-1 and zn12 confirmed the identity of the PKC-positive cells in the brain as trigeminal neurons, and in the spinal cord as Rohon-Beard cells. Some Rohon-Beard cells were labeled with anti-PKC alpha up to 7 days post fertilization (dpf). We performed TUNEL labeling and found no correlation between TUNEL-labeled and PKC alpha-labeled Rohon-Beard cells, suggesting that PKC alpha is not involved in Rohon-Beard apoptosis. Only approximately 40% of the approximately 130 Rohon-Beard cells at 24 h postfertilization (hpf) were positively labeled for PKC. Mauthner cells were labeled by anti-PKC, but not anti-PKC alpha, suggesting that the major form of PKC within these cells was not PKC alpha.
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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 | 0.001 |
| 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".