Localization of Nucleoside Triphosphate Diphosphohydrolase-1 (NTPDase1) and NTPDase2 in Pancreas and Salivary Gland
Bibliographic record
Abstract
Ectonucleoside triphosphate diphosphohydrolases (NTPDases) are membrane-bound ectoenzymes that hydrolyze extracellular nucleotides. We investigated the distribution of NTPDase1 and NTPDase2 in murine salivary gland and pancreas. Histochemistry and immunostaining (by both light and electron microscopy), combined with functional assays, were used to describe the localization patterns and enzyme activities in the organs of wild-type and NTPDase1/cd39-null mice. Pancreatic acinar cells and salivary gland acinar/myoepithelial cells were positive for NTPDase1 and NTPDase2. Ecto-ATPase activity was slightly higher in salivary glands. Ductal epithelial cells expressed ecto-ATPase activity but NTPDase1 and NTPDase2 expression were weak at best. ATPase activity was found in blood vessels of both tissues and its localization pattern overlapped with NTPDase1 staining. In these structures, NTPDase2 antibodies stained the basolateral aspect of endothelial cells and the supporting cells. Biochemical assays and histochemical staining showed relatively high levels of ATPase activity in both glands of cd39(-/-) mice. Our data therefore support a physiological role for NTPDase2 and other ectonucleotidases in the pancreas and salivary glands. Because NTPDase1 is expressed in non-vascular cell types, this finding suggests that NTPDase1 may have functions in the gastrointestinal tract that differ from those demonstrated in the vascular system.
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 | 0.000 |
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".