Mitochondrial modulation of calcium pulsars in native endothelial cells (1075.3)
Bibliographic record
Abstract
Calcium homeostasis is the crux of endothelial function and the regulation of vascular tone. Endothelial Ca 2+ is thus highly dynamic and finely tuned. Amongst Ca 2+ dynamics, Ca 2+ pulsars are spontaneous Ca 2+ release by IP 3 receptors within myoendothelial projections (MEP). However, regulatory mechanisms of endothelial Ca 2+ pulsars remain to be determined. Mitochondria play a major role in intracellular Ca 2+ regulation in several cell types and may represent a modulator of endothelial Ca 2+ dynamics like Ca 2+ pulsars. We then hypothesized that mitochondria are active regulators of Ca 2+ pulsars. Given the specific localization of Ca 2+ pulsars, we first established the mitochondrial distribution in native mouse endothelium by confocal and electron microscopy. Mitochondria appeared heterogeneously distributed in endothelial cells but were found to be three times more concentrated near MEP. The functional interaction between mitochondria and Ca 2+ pulsars was then investigated with real‐time confocal microscopy. Interestingly, mitochondrial uncouplers FCCP and CCCP significantly decreased Ca 2+ pulsars frequency. Our data suggest that mitochondria are clustered near MEP to modulate Ca 2+ pulsars and might therefore be an important regulator of endothelial function. Grant Funding Source : Supported by FRQS, HSFC, CFI, SQHA and CIHR.
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".