Establishment of a murine culture system for modeling the temporal progression of cranial and trunk neural crest cell differentiation
Bibliographic record
Abstract
The neural crest (NC) is a transient population of embryonic progenitors that are implicated in a diverse range of congenital birth defects and pediatric syndromes. The broad spectrum of NC-related disorders can be attributed to the wide variety of differentiated cell types arising from the NC. In vitro models of NC development provide a powerful platform for testing the relative contributions of intrinsic and extrinsic factors mediating NC differentiation under normal and pathogenic conditions. Although differentiation is a dynamic process that unfolds over time, currently, there is no well-defined chronology that characterizes the in vitro progression of NC differentiation towards specific cell fates. In this study, we have optimized culture conditions for expansion of primary murine NC cells that give rise to both ectodermal and mesoectodermal derivatives, even after multiple passages. Significantly, we have delineated highly reproducible timelines that include distinct intermediate stages for lineage-specific NC differentiation in vitro. In addition, isolating both cranial and trunk NC cells from the same embryos enabled us to make direct comparisons between the two cell populations over the course of differentiation. Our results define characteristic changes in cell morphology and behavior that track the temporal progression of NC cells as they differentiate along the neuronal, glial, and chondrogenic lineages in vitro. These benchmarks constitute a chronological baseline for assessing how genetic or environmental disruptions may facilitate or impede NC differentiation. Introducing a temporal dimension substantially increases the power of this platform for screening drugs or chemicals for developmental toxicity or therapeutic potential.
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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".