Morphological evidence suggestive of a hierarchical mode of glial cell diversification and intrinsic developmental plasticity within the murine enteric nervous system
Bibliographic record
Abstract
Enteric glial cells represent a highly heterogeneous cell population residing both within and outside the ganglia and inter-ganglionic fiber bundles that form the core networks of the enteric nervous system (ENS). Despite the availability of several relevant single-cell transcriptomic datasets, the classification of enteric glia in various subtypes is still mainly based on their particular location and associated morphological attributes. We recently reported that these “topo-morphological” enteric glia subtypes gradually appear during early postnatal development in healthy wildtype mice, under the influence of structural tissue changes that occur during this period. This process is also influenced by the source of ENS progenitors, with notable biased contributions by Schwann cell precursors (SCPs). This prior work further suggested the existence of a hierarchical program of spatiotemporal differentiation, whereby intra-network enteric glia (i.e., within ganglia and fiber bundles) of the myenteric plexus sequentially give rise to nearby extra-network enteric glia as well as to more distant intra- and extra-network enteric glia of the submucosal plexus. To learn more about enteric glia diversification, we reasoned that the Nr2f1 Spt/Spt mouse model of Waardenburg syndrome type IV could be particularly informative, as the absence of ENS in the colon of these mice is specifically due to premature glial differentiation of ENS progenitors before birth. Our new analyses of the ENS-containing ileum from these mice now also reveal abnormal acquisition of enteric glia diversity after birth. These alterations of enteric glia diversification are in agreement with the previously proposed hierarchical differentiation model in wildtype mice. This work also uncovered an intriguing neuronal phenotype in Nr2f1 Spt/Spt mice in which a reduction in the number of neurons is associated with an increase in their size. Many of these larger neurons also co-express the glia marker S100β, which together with the noted increased contribution of SCPs to the overall pool of enteric glia further highlight the remarkable plasticity of the developing ENS.
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 | 0.001 | 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 | 0.000 |
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".