Exploring the role of the unique N‐termini of PDE4D variants in regulating mural cell morphology, migration and cAMP signaling (1065.1)
Bibliographic record
Abstract
Mural cells act adaptively to regulate vascular tone. After vascular damage, adoption of a synthetic phenotype increases proliferative and migratory capacity and aids in repair. Exaggerated, maladaptive responses can promote intimal hyperplasia, atherosclerotic lesion progression and arterial (re)stenosis. cAMP acting on protein kinase A (PKA) or exchange protein activated by cAMP (EPAC) regulate mural cell migration and adhesion. A cAMP signalosome in the leading edge of migrating mural cells contains PKA and phosphodiesterase (PDE) 4D8 and regulates actin assembly and migration. PDE4D isoforms share a common catalytic domain and C‐terminus. PDE4 inhibitors are non‐selective with respect to the individual PDE4 variants and compete with cAMP binding at the active site. The unique N‐termini of PDE4D isoforms are hypothesized to mediate selective protein‐protein based tethering to distinct subcellular domains. We examined the subcellular targeting, function and binding partners of the unique N‐termini of mural PDE4D variants and their impact on cAMP signalling. We show that these N‐terminal regions are important in regulating mural cell morphology, migration and adhesion. Grant Funding Source : Supported by Canadian Institutes of Health Research
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".