Role of endothelin-1 receptors in the sarcolemma membrane and the nuclear membrane in the modulation of basal cytosolic and nuclear calcium levels in heart cells
Bibliographic record
Abstract
Our previous work in heart cells showed that the nuclear envelope membranes possess receptors, such as those for angiotensin II. Using non-working single cells from the hearts of 10-day chick embryos and the confocal microscopy technique, our present results show that stimulation of endothelin-1 (ET-1) receptors at the sarcolemma membrane induced a dose-dependent sustained increase in basal cytosolic and nuclear calcium levels that was insensitive to the ET(A) and ET(B) receptor antagonists BQ123 and BQ788. The cytosolic application of ET-1 induced a dose-dependent increase in the sustained basal nuclear Ca(2+) concentration that was insensitive to BQ123 and BQ788. The ET-1 receptors at the nuclear envelope membrane were more sensitive to ET-1 than those located at the sarcolemma membrane of heart cells. Cytosolic application of ET-1 prevented sustained basal cytosolic Ca(2+) uptake by the nuclei. The use of an ET-1 fluorescent probe demonstrated the presence of ET-1 receptors at both the sarcolemma membrane and the nuclear envelope membrane. Thus our results suggest that ET-1 receptors that are insensitive to BQ123 and BQ788 are present at both the sarcolemma and nuclear envelope membranes. Extracellular and cytosolic ET-1 may play a role in regulating basal cytosolic and nuclear Ca(2+) levels in heart cells.
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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 | 0.001 | 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".