<i>Dhh</i>‐expressing Schwann cell precursors contribute to skin and cochlear melanocytes, but not to vestibular melanocytes
Bibliographic record
Abstract
Abstract For a long time, melanocytes were believed to be exclusively derived from neural crest cells migrating from the neural tube toward the developing skin. This notion was then challenged by studies suggesting that melanocytes could also be made from neural crest‐derived Schwann cell precursors (SCPs) on peripheral nerves. A SCP origin was inferred from lineage tracing studies in mice using a Plp1 promoter‐controlled Cre driver transgene ( Plp1‐CreERT2 ) and a fluorescent Rosa26 locus‐controlled Cre reporter allele ( Rosa26 FloxSTOP‐YFP ). However, doubts were raised in part because another SCP‐directed Cre driver controlled by the Dhh promoter ( Dhh‐Cre ) was apparently unable to label melanocytes when used with a non‐fluorescent Rosa26 locus‐controlled Cre reporter ( Rosa26 FloxSTOP‐LacZ ). Here, we report that the same Dhh‐Cre driver line can efficiently label melanocytes when used in a pure FVB/N background together with the fluorescent instead of the non‐fluorescent Rosa26 locus‐controlled Cre reporter. Our data further suggest that the vast majority of skin melanocytes are SCP‐derived. Interestingly, we also discovered that SCPs contribute inner ear melanocytes in a region‐specific manner, extensively contributing to the cochlea but not to the vestibule.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| 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".