WHAT'S WHERE AND WHY AT A VASCULAR MYOENDOTHELIAL MICRODOMAIN SIGNALLING COMPLEX
Bibliographic record
Abstract
1. Modulation of vascular cell calcium is critical for the control of vascular tone, blood flow and pressure. 2. Specialized microdomain signalling sites associated with calcium modulation are present in vascular smooth muscle cells, where spatially localized channels and calcium store receptors interact functionally. Anatomical studies suggest that such sites are also present in endothelial cells. 3. The characteristics of these sites near heterocellular myoendothelial gap junctions (MEGJs) are described, focusing on rat mesenteric artery. The MEGJs enable current and small molecule transfer to coordinate arterial function and are thus critical for endothelium-derived hyperpolarization, regulation of smooth muscle cell diameter in response to contractile stimuli and vasomotor conduction over distance. 4. Although MEGJs occur on endothelial cell projections within internal elastic lamina (IEL) holes, not all IEL holes have MEGJ-related projections (approximately 0-50% of such holes have MEGJ-related projections, with variations occurring within and between vessels, species, strains and disease). 5. In rat mesenteric, saphenous and caudal cerebellar artery and hamster cheek pouch arteriole, but not rat middle cerebral artery or cremaster arteriole, intermediate conductance calcium-activated potassium channels (IK(Ca)) localize to endothelial cell projections. 6. Rat mesenteric artery MEGJ connexins and IK(Ca) are in close spatial association with endothelial cell inositol 1,4,5-trisphosphate receptors and endoplasmic reticulum. 7. Data suggest a relationship between spatially associated endothelial cell ion channels and calcium stores in modulation of calcium release and action. Differences in spatial relationships between ion channels and calcium stores in different vessels reflect heterogeneity in vasomotor function, representing a selective target for the control of endothelial and vascular function.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".