Ascl1 defines sequentially generated lineage-restricted neuronal and oligodendrocyte precursor cells in the spinal cord
Bibliographic record
Abstract
The neural basic helix-loop-helix transcription factor Ascl1 (previously Mash1) is present in ventricular zone cells in restricted domains throughout the developing nervous system. This study uses genetic fate mapping to define the stage and neural lineages in the developing spinal cord that are derived from Ascl1-expressing cells. We find that Ascl1 is present in progenitors to both neurons and oligodendrocytes, but not astrocytes. Temporal control of the fate-mapping paradigm reveals rapid cell-cycle exit and differentiation of Ascl1-expressing cells. At embryonic day 11, Ascl1 identifies neuronal-restricted precursor cells that become dorsal horn neurons in the superficial laminae. By contrast, at embryonic day 16, Ascl1 identifies oligodendrocyte-restricted precursor cells that distribute throughout the spinal cord. These data demonstrate that sequentially generated Ascl1-expressing progenitors give rise first to dorsal horn interneurons and subsequently to late-born oligodendrocytes. Furthermore, Ascl1-null cells in the spinal cord have a diminished capacity to undergo neuronal differentiation, with a subset of these cells retaining characteristics of immature glial 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) | 0.000 | 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 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".