Adenosine-Sensitive Adenylate Cyclase in Rat Anterior Pituitary
Bibliographic record
Abstract
An adenosine-sensitive adenylate cyclase has been demonstrated in anterior pituitary cultured cells in the present studies. N-ethylcarboxamideadenosine (NECA), L-N6-phenylisopropyladenosine (PIA), and 5'-N-methylcarboxamideadenosine (MECA), all stimulated adenylate cyclase in a concentration-dependent manner in the order of potency NECA greater than PIA greater than MECA. Adenosine showed a biphasic effect on adenylate cyclase: stimulation at lower and inhibition at higher concentrations, whereas 2'-deoxyadenosine only inhibited adenylate cyclase in a concentration-dependent manner. The stimulatory effect of NECA on adenylate cyclase was dependent on metal ion concentrations and was blocked by 3-isobutyl-1-methylxanthine and 8-phenyltheophylline. Various agonists such as isoproterenol, prostaglandins (PGE1), vasoactive intestinal peptide, corticotropin-releasing factor, NaF, and forskolin, all stimulated adenylate cyclase to various degrees. The stimulatory effect of vasoactive intestinal peptide and corticotropin-releasing factor on adenylate cyclase was found to be almost additive with the stimulation exerted by NECA. These data indicate the presence of adenosine stimulatory receptors ('Ra') in anterior pituitary which are coupled to adenylate cyclase. It is possible that adenosine may act as one of the important regulators to regulate and/or modulate the effects of agents/factors in the release of pituitary hormones.
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 | 0.001 |
| 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) | 0.003 | 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".