Study of G Protein-Coupled Receptor/β-arrestin Interactions Within Endosomes Using FRAP
Bibliographic record
Abstract
β-arrestins, through their scaffolding functions, are key regulators of G protein-coupled receptor (GPCR) signaling and intracellular trafficking. However, little is known about the dynamics of β-arrestin/receptor interactions and how these complexes, and complexes with other regulatory proteins, are controlled in cells. Here, we use yellow fluorescent protein (YFP)-tagged β-arrestin 2 and a fluorescence recovery after photobleaching (FRAP) imaging approach to probe the real-time interaction of β-arrestin with a GPCR, the bradykinin type 2 receptor (B2R). We provide a detailed protocol to assess the avidity of β-arrestin2-YFP for B2R within endosomes in HEK293 cells. β-arrestin2-YFP associated with internalized receptors is photobleached with intense light, and fluorescence recovery due to the entry of nonbleached β-arrestin2-YFP is monitored over time as a measure of the rate exchange of β-arrestin2-YFP within the endosome. This approach can be extended to other GPCR/β-arrestin complexes and their putative regulators to provide information about the kinetics of similar protein-protein interactions in cells. Moreover, these techniques should provide insight into the role of β-arrestins in the intracellular trafficking and signaling of GPCRs.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".