Expression of pannexin isoforms in the murine arterial network
Bibliographic record
Abstract
Pannexins form ATP‐release channels that have both physiological and pathological roles in cells such as regulation of vascular tone and apoptosis, respectively. However, distribution of pannexins across the vasculature is poorly documented. Therefore, we aimed to detail their distribution across different vascular beds. We first tested antibodies against pannexin 1 (Panx1), Panx2 and Panx3 on HEK cells (which do not endogenously express pannexins) transfected with plasmids for each pannexin isoform. Each of the pannexin antibodies was found to be specific. By comparing expression in C57Bl/6 and Panx1 −/− mice, we demonstrate that in the systemic arterial network, Panx1 is the only isoform detected. In the large arteries and coronary circulation, Panx1 was primarily found in the endothelial cells, whereas in small arteries and arteioles Panx1 localizes to the smooth muscle cells. In the kidney, pulmonary and hepatic circulations, there was more variability in the pannexin isoforms detected. Pannexins were not detected at myoendothelial junctions across multiple vascular beds. We conclude that the specific localized expression of pannexin channels throughout the vasculature under physiological conditions points towards an important role for these channels in the regulation of ATP release throughout the arterial network.
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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 | 0.001 | 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 | 0.001 |
| 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".