Phospholipase C isoforms expression in mouse endothelium (1075.2)
Bibliographic record
Abstract
Phospholipase C (PLC) is a major signal transduction component through the regulation of various intracellular pathways, including PKC and intracellular Ca 2+ channels. Up to 13 mammalian PLC isoforms have been identified and are classified in 6 families: PLC‐β, γ, δ, ε, ζ and η. Although expression of PLCs is tissue‐specific, combined expression of different PLCs has been reported. However, endothelial PLC expression remains to be established. Therefore, we sought to determine the expression pattern of PLC in mouse resistance arteries. We first studied the expression of PLC isoforms in mesenteric arteries. We found mRNA encoding for most PLCs with the exception of ζ1, η1 and η2 in whole mesenteric arteries. Similar results were obtained in middle cerebral, coronary and pulmonary arteries. We then elucidated the intracellular distribution of PLCs β3, γ1 and δ1, the main mammalian isoforms, in endothelial cells with in situ immunocytochemistry. We observed a diffuse staining in endothelium with no clearly defined heterogeneous distribution of all three PLCs. Further investigation is necessary to determine the specific PLC isoforms involved in endothelial localized Ca 2+ dynamics. Taken together, these studies might strengthen our understanding of endothelial Ca 2+ homeostasis mechanisms and therefore endothelial function. Grant Funding Source : Supported by FRQS, HSFC, SQHA and FICM.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".