Specific [<sup>3</sup>H]‐guanosine binding sites in rat brain membranes
Bibliographic record
Abstract
1. Extracellular guanosine has diverse effects on many cellular components of the central nervous system, some of which may be related to its uptake into cells and others to its ability to release adenine-based purines from cells. Yet other effects of extracellular guanosine are compatible with an action on G-protein linked cell membrane receptors. 2. Specific binding sites for [(3)H]-guanosine were detected on membrane preparations from rat brain. The kinetics of [(3)H]-guanosine binding to membranes was described by rate constants of association and dissociation of 2.6122 x 10(7) M(-1) min(-1) and 1.69 min(-1), respectively. A single high affinity binding site for [(3)H]-guanosine with a K(D) of 95.4 +/- 11.9 nM and B(max) of 0.57 +/- 0.03 pmol mg(-1) protein was shown. This site was specific for guanosine, and the order of potency in displacing 50 nM [(3)H]-guanosine was: guanosine=6-thio-guanosine > inosine > 6-thio-guanine > guanine. Other naturally occurring purines, such as adenosine, hypoxanthine, xanthine caffeine, theophylline, GDP, GMP and ATP were unable to significantly displace the radiolabelled guanosine. Thus, this binding site is distinct from the well-characterized receptors for adenosine and purines. 5. The addition of GTP produced a small concentration-dependent decrease in guanosine binding, suggesting this guanosine binding site was linked to a G-protein. 6. Our results therefore are consistent with the existence of a novel cell membrane receptor site, specific for guanosine.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".