BRET Approaches to Characterize Dopamine and TAAR1 Receptor Pharmacology and Signaling
Bibliographic record
Abstract
It is evident that G protein-coupled receptors (GPCRs) such as D2 dopamine receptor and functionally related Trace Amine Associated Receptor 1 (TAAR1) can engage both in G protein-dependent (e.g., cAMP-mediated) and -independent β-arrestin-mediated signaling modalities. Both of these signaling events can be monitored in real-time and in live cells by using new biosensors based on a Bioluminescence Resonance Energy Transfer (BRET) approach. Here we discuss the practical applications of BRET to analyze dynamics of cAMP modulation via an EPAC biosensor as well as recruitment of β-arrestin2 to the D2 dopamine receptor. Combination of these approaches allows for a comparison of activity of pharmacological compounds on these signaling modalities as demonstrated for various antipsychotics as regard to D2 dopamine receptor. Furthermore, analysis of cAMP concentrations in cells expressing TAAR1 provides a simple high-throughput screening method to identify new ligands for this receptor. These BRET approaches could be applied for the characterization of pharmacology and signaling of variety of other 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".