Interaction of AGS4 and Gialpha1 in living cells
Bibliographic record
Abstract
Activator of G Protein Signaling‐4 (AGS4) is one of several receptor independent activators of G‐protein signaling identified in a yeast‐based functional screen of mammanlian cDNAs. AGS4 encodes a protein of 160 amino acids that contains 3 G‐protein regulatory (GPR) motifs each of which can serve as a docking site for Giα‐GDP free of Gβg. AGS4 and related GPR proteins provide unexpected regulatory mechanisms for G‐protein signaling systems. AGS4 is of particular interest in this regard as it is primarily expressed in the immune system. In addition to defining the functional role of AGS4 in immune cells, two of the key questions for AGS4 are what controls the interaction of these proteins with G‐protein and where does this interaction occur within the cell. As an initial approach to this question, we evaluated the interaction of AGS4 with Giα1 in living cells (HEK‐293) using bioluminescence resonance energy transfer (BRET) to measure interaction between proteins tagged with renilla luciferase (RLuc) and the YFP‐variant Venus. Cells transfected with AGS4‐YFP and Giα1‐RLuc exhibited a net BRET signal that was saturable and specific. The BRET signal was blocked by Gβγ expression and it was not observed with the AGS4‐Q/A mutant in which each of the GPR motifs are rendered incapable of binding Giα. In subsequent experiments, we examined the influence of various signaling systems on the AGS4‐Giα1 interaction. These data indicate a robust interaction of AGS4 and Giα1 in the living cell.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".