Green Fluorescent Protein-Tagged β-Arrestin Translocation as a Measure of G Protein-Coupled Receptor Activation
Bibliographic record
Abstract
The G protein-coupled receptor (GPCR) superfamily is the largest family of integral membrane proteins. GPCRs respond to a wide variety of sensory and chemical stimuli and contribute directly to the regulation of all major organ systems. As such, GPCRs represent primary drug targets for therapeutic intervention. Although GPCRs respond to a diverse range of ligands and signal through multiple heterotrimeric G proteins, the inactivation of GPCR signaling is mediated by a limited set of proteins. In particular, the desensitization of the majority of GPCRs is mediated by the binding of two arrestin isoforms, beta-arrestin1 and beta-arrestin2, that exhibit overlapping substrate specificity. In response to GPCR activation and phosphorylation by GPCR kinases, beta-arrestins redistribute from the cytosol to the plasma membrane to bind GPCRs and subsequently target the receptors for internalization via clathrin-coated vesicles. This property of beta-arrestins has allowed the development of a green fluorescent protein (GFP)-based assay for detecting GPCR activation by confocal microscopy. This beta-arrestin-GFP translocation methodology is described in detail in this chapter.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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".