Development and Validation of a Novel Quantitative Assay for Cell surface Expression of GPCRs using a Receptor β-lactamase fusion Protein and the Colourometric Substrate Nitrocefin
Bibliographic record
Abstract
Trafficking of GPCRs is a dynamic process that is tightly regulated and sometimes defective in human diseases. Therefore it is important to develop new methods to allow simple and quantitative measurement of surface expression of membrane proteins. Here we describe the development and validation of a new assay for quantification of cell surface expression of GPCRs using β-lactamase as a reporter. For this assay we N-terminally fused β-lactamase (βlac) to the β2-adrenergic receptor (β2AR) and GABA b R1 (GBR1). The results obtained by the βlac assay are quantitatively and qualitatively similar to well established ELISA when measuring agonist induced internalization of β2AR. We also show that measurement of GBR1 surface expression with GBR2 co-expression is quantitatively identical between the βlac and ELISA. In conclusion, our results show that our newly developed βlac assay is quantitatively similar while being less expensive, more robust and higher throughput compared to an ELISA.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".