Calmodulin Stimulation of Plasmalemmal Ca <sup>2+</sup> -Pump of Canine Aortic Smooth Muscle
Bibliographic record
Abstract
Plasma-membrane-enriched fractions of canine aortic smooth muscle possess an ATP-supported Ca2+ accumulation which has an absolute requirement for Mg2+ and a high affinity for Ca2+ (Km approximately 0.5 microM). The rate of ATP-supported Ca2+ transport is not affected by several calmodulin antagonists, but is stimulated by exogenously added calmodulin. The maximal effect of calmodulin on the rate of ATP-dependent Ca2+ transport (at 5.0 microM Ca2+) occurs at 10 micrograms/ml calmodulin and represents an approximately 3-fold stimulation. This calmodulin stimulation of Ca2+ transport does not require pretreatment of the membranes by EGTA and is an intrinsic property of the plasma membranes. A high-affinity Ca2+-ATPase (Km for Ca2+ approximately 0.5 microM) is also present in the aortic smooth muscle plasma membrane. This high-affinity Ca2+-ATPase does not require Mg2+ for catalytic activity, but is in fact inhibited by increasing Mg2+ concentrations. Calmodulin at concentrations effective for the stimulation of the ATP-dependent Ca2+ transport has no effect on the high-affinity Ca2+-ATPase activity or on the basal ATPase activity stimulated by 5 mM Mg2+ or Ca2+. Our results indicate that isolated plasma membranes of canine aortic smooth muscle contain no endogenous calmodulin. The ability of exogenously added calmodulin to stimulate the rate of ATP-dependent Ca2+ transport by vascular smooth muscle plasma membranes suggests that calmodulin may play a role in lowering the cytoplasmic concentration of ionized calcium during vasodilatation. An Mg2+-independent, but not an Mg2+-dependent high-affinity Ca2+-ATPase, was identified in the plasma membranes. This may be separate from the plasmalemmal Ca2+-pump.
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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 | 0.000 | 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".