Isolation of Plasma Membranes from Rat Mesenteric Veins: A Comparison of Their Physical and Biochemical Properties with Arterial Membranes
Bibliographic record
Abstract
Plasma membranes were isolated from smooth muscles of rat mesenteric veins. The plasma membrane fraction is relatively pure according to its morphological and enzymatic characteristics. The membrane distribution, enzymatic activities, as well as calcium accumulation by the plasma membrane fraction from venous smooth muscle were compared to those from arterial smooth muscle. The isolated venous smooth muscle plasma membranes formed primarily closed vesicles which were capable of accumulating Ca2+ in the presence of ATP suggesting active transport of Ca2+ across the membrane vesicles. Evidence obtained from several approaches by studying the effect of A23187, phosphate ions and hypotonic shock on the Ca2+ accumulation in the presence of ATP revealed that there is an active transport of Ca2+ across isolated vascular smooth muscle membrane vesicles in addition to binding of Ca2+. However, venous smooth muscle plasma membrane fraction appears to be different from arterial smooth muscle plasma membrane fraction in its low activity of alkaline phosphatase, greater Ca2+ binding and lower Ca2+ transport. These and previous studies show that the plasma membrane of vascular muscles may play an important role in the steady state regulation of cellular calcium concentration during excitation-contraction coupling, especially in small arteries and veins.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".