Satellite cells of dorsal root ganglia are multipotential glial precursors
Bibliographic record
Abstract
The evolutionary origin of myelinating cells in the vertebrate nervous system remains a mystery. A clear delineation of the developmental potentialities of neuronal support cells in the CNS and PNS might aid in formulating a hypothesis about the origins of myelinating cells. Although a glial-precursor cell in the CNS can differentiate into oligodendrocytes (OLs), Schwann cells (SCs) and astrocytes, a homologous multipotential cell has not yet been found in the PNS. Here, we identify a cell type of embryonic dorsal root ganglia (DRG) of the PNS - the satellite cell - that develops into OLs, SCs and astrocytes. Interestingly,satellite-cell-derived OL precursors were found in cultures prepared from embryonic day 17 (E17) to postnatal day 8 (P8) ganglia,but not from adult DRGs, revealing a narrow developmental window for multipotentiality. We suggest that compromising the organization of the ganglia triggers a differentiation pathway in a subpopulation of satellite cells, inducing them to become myelinating cells with either a CNS or PNS phenotype. Our data provide an additional, novel piece in the myelinating cell-precursor puzzle, and lead to the concept that cells in the CNS and PNS that function to ensheath neuronal cell bodies and axons can differentiate into OLs, SCs and astrocytes. In sum, it appears that glial fate might be determined over and above the CNS/PNS dichotomy. Last, we suggest that primordial ensheathing cells form the original cell population in which the myelination program first evolved.
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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 | 0.001 | 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".