COUPLING OF A G‐PROTEIN COUPLED RECEPTOR TO THE AGS3‐Galphai SIGNALING COMPLEX
Bibliographic record
Abstract
AGS3 and related entities serve as alternative binding partners for Gαi independent of the classical heterotrimer Gαβγ and this interaction is mediated by a 20–25 amino acid motif termed the G‐protein regulatory (GPR). Such a signaling module may function in the context of signal processing through G‐protein coupled receptors or actually regulate intracellular events independent of the classical receptor ‐ heterotrimeric G‐protein – effector model. We report the regulation of the GPR‐Gαi signaling module by a cell surface receptor using bioluminescence resonance energy transfer (BRET). AGS3‐ Renilla luciferase (Rluc), and Gαi1‐yellow fluorescent protein (YFP) exhibited robust, specific BRET. AGS3‐Rluc ‐ Gαil‐YFP BRET was inhibited by activation of the α 2 ‐adrenergic receptor (α 2 ‐AR), a typical G‐protein coupled receptor that couples to the Gαi/Gαo class of heterotrimeric G‐proteins. The AGS3‐Gαi complex is in close proximity to the receptor as Gαi‐dependent and agonist‐sensitive BRET was observed between AGS3‐Rluc and the α 2 ‐AR‐Venus. AGS3‐Gαi appears to be anchored within a receptor signaling complex at the membrane and the biophysical organization of this complex is stabilized or destabilized by specific conformations of the receptor.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".