Neurogenic Potential of Isolated Precursor Cells from Early Post-Gastrula Somitic Tissue
Bibliographic record
Abstract
Adult tissues are known to contain rare populations of stem cells with multilineage differentiation potential that are distinct from other resident tissue-specific stem cells. However, whether multilineage stem cells are involved in tissue development is uncertain, primarily because the identification and characterization of these cells in embryonic tissue primordia is not well established. We tested whether stem cells with multilineage potential are present within the early post-gastrula somite tissue. We show that clonally derived precursor cells generate colonies with self-renewal capacity and have both neurogenic and myogenic lineage potential. Somite colonies contain cells that express Sox2, nestin, and Sca1, but do not express genes indicative of somitic mesoderm specification. Furthermore, we demonstrate that this multilineage potential is not due to colony cells with a pluripotent epiblast identity or the selection of p75 receptor-positive neural crest stem cells. Despite utilizing a highly undifferentiated tissue source, colony formation was not enhanced relative to reported estimates of multilineage stem cells from adult muscle, a derivative of the embryonic somite. Thus, our findings suggest that a permissive in vitro environment is sufficient for the isolation of a discrete population of stem cells in the embryonic somite that may represent the earliest developmental precursor to adult muscle multilineage stem cells.
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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 | 0.001 |
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".