Association of the ecto‐ATPase NTPDase2 with glial cells of the peripheral nervous system
Bibliographic record
Abstract
Cellular signaling via extracellular nucleotides appears to play a major role in the functioning of the peripheral nervous system. Information regarding the functional characterization of nucleotide P2 receptors or their expression pattern has been accumulating rapidly; however, very little is known regarding the distribution of ecto-nucleotidases in the periphery. The extracellular level of nucleotides is controlled by ecto-nucleotidases, whereby the three membrane-bound members of the ecto-nucleoside triphosphate diphosphohydrolase (E-NTPDase) family are of special functional importance. Using enzyme histochemistry and immunostaining, we demonstrate that NTPDase2 is associated with nonmyelinating Schwann cells of the rat sciatic nerve, whereas NTPDase1 is restricted to blood vessel walls. NTPDase2 immunoreactivity was detected from embryonic day E18 onward, suggesting that immature Schwann cells express the enzyme. With the onset of myelination, NTPDase2 immunoreactivity remained associated solely with nonmyelinating Schwann cells. NTPDase2 was absent from perisynaptic Schwann cells but was associated with fibroblasts covering the endplate at some distance. In addition, NTPDase2 immunoreactivity was associated with the satellite glial cells in dorsal root ganglia and sympathetic ganglia, and with the enteric glia surrounding the cell bodies of ganglionic neurons of the myenteric and the submucous plexus. In contrast to NTPDase1, NTPDase2 preferentially hydrolyzes nucleoside triphosphates over nucleoside diphosphates and thus can act either in inactivating or in producing P2 receptor ligands. Our results suggest that NTPDase2 plays an important role in the control of nucleotide-mediated activation of peripheral neurons or glia and in the dialogue between these two cell types.
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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 | 0.000 |
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".