Chimeric G Proteins Extend the Range of Insect Cell-Based Functional Assays for Human G Protein-Coupled Receptors
Bibliographic record
Abstract
We previously described a functional assay for G protein-coupled receptors (GPCRs) based on stably transformed insect cells and using the promiscuous G protein Galpha16. We now show that, compared with Galpha16, the use of chimeric Galphaq subunits with C-terminal modifications (qi5-HA, qo5-HA, or qz5-HA) significantly enhances the ability of insect cells to redirect Gi-coupled GPCRs into a Gq-type signal transduction pathway. We coexpressed human Gi-coupled GPCRs, G protein alpha subunits (either a chimeric Galphaq or Galpha16), and the calcium-sensitive reporter protein aequorin in Sf9 cells using a nonlytic protein expression system, and measured agonist-induced intracellular calcium flux using a luminometer. Three of the GPCRs (serotonin 1A, 1D, and dopamine D2) were functionally redirected into a Gq-type pathway when coexpressed with the chimeric G proteins, compared with only one (serotonin 1A) with Galpha16. We determined agonist concentration-response relationships for all three receptors, which yielded EC50 values comparable with those achieved in mammalian cell-based assay systems. However, three other Gi-coupled GPCRs (the opioid kappa1 and delta1 receptors, and serotonin 1E) were not coupled to calcium flux by either the G protein chimeras or Galpha16. Possible reasons and solutions for this result are discussed.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".