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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".