RECEPTOR‐REGULATED INTERACTION OF ACTIVATOR OF G‐PROTEIN SIGNALING 4 AND GIALPHA
Bibliographic record
Abstract
Activator of G Protein Signaling‐4 (AGS4), via its three G‐protein regulatory (GPR) motifs, is well positioned to modulate G‐protein signal processing by virtue of its ability to bind Gαi‐GDP subunits free of Gβγ. Apart from initial observations on the biochemical activity of the GPR motifs of AGS4 very little is known about the nature of the AGS4 – G‐protein interaction, how this interaction is regulated, the influence of the AGS4 – G‐protein interaction on signals emanating from G‐protein coupled receptors (GPCRs) or where the interaction takes place. As an initial approach to these questions, we evaluated the interaction of AGS4 with Gαi1 in living cells using bioluminescence resonance energy transfer (BRET). AGS4 and Gαi1 reciprocally tagged with either Renilla luciferase (RLuc) or YFP demonstrated saturable, specific BRET signals. BRET signals observed between AGS4‐RLuc and Gαi1‐YFP were reduced by GPCR activation and this agonist‐induced reduction in BRET was blocked by pertussis toxin. In addition, specific BRET signals were observed for AGS4‐RLuc and α 2 ‐adrenergic receptor‐Venus which were Gαi‐dependent and reduced by agonist indicating that AGS4 – Gαi complexes are receptor‐proximal. These data suggest that AGS4 – Gαi complexes directly couple to a GPCR and may serve as substrates for receptor‐induced G‐protein activation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".