High agonist-independent clearance of rabbit kinin B<sub>1</sub>receptors in cultured cells
Bibliographic record
Abstract
We hypothesized that the inducible kinin B(1) receptor (B(1)R) is rapidly cleared from cells when its synthesis subsides. The agonist-independent degradation of the rabbit B(1)Rs and related B(2) receptors (B(2)Rs) was investigated. Endocytosis of the B(1)R-yellow fluorescent protein (YFP) conjugate was more intense than that of B(2)R-green fluorescent protein (GFP) based on fluorescence accumulation in HEK 293 cells treated with a lysosomal inhibitor. The cells expressing B(1)R-YFP contained more GFP/YFP-sized degradation product(s) than those expressing B(2)R-GFP (immunoblot, antibodies equally reacting with both fluorescent proteins). The binding site density of B(1)R-YFP decreased in the presence of protein synthesis or maturation inhibitors (anisomycin, brefeldin A), whereas that of B(2)R-GFP remained constant. Wild-type B(1)Rs were also cleared faster than B(2)Rs in rabbit smooth muscle cells treated with metabolic inhibitors. Contractility experiments based on brefeldin A-treated isolated rabbit blood vessels also functionally support that B(1)Rs are more rapidly eliminated than B(2)Rs (decreased maximal effect of agonist over 2 h). The highly regulated B(1)R is rapidly degraded, relative to the constitutive B(2)R.
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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) | 0.001 | 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 | 0.001 |
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".