Homodimerization of adenosine A<sub>2A</sub> receptors: qualitative and quantitative assessment by fluorescence and bioluminescence energy transfer
Bibliographic record
Abstract
The results presented in this paper show that adenosine A2A receptor (A2AR) form homodimers and that homodimers but not monomers are the functional species at the cell surface. Fluorescence resonance energy transfer (FRET) and bioluminescence resonance energy transfer (BRET) techniques have been used to demonstrate in transfected HEK293 cells homodimerization of A2AR, which are heptaspanning membrane receptors with enriched expression in striatum. The existence of homodimers at the cell surface was demonstrated by time-resolved FRET. Although agonist activation of the receptor leads to the formation of receptor clusters, it did not affect the degree of A2AR-A2AR dimerization. Both monomers and dimers were detected by immunoblotting in cell extracts. However, cell surface biotinylation of proteins has made evident that more than 90% of the cell surface receptor is in its dimeric form. Thus, it seems that homodimers are the functional form of the receptor present on the plasma membrane. A deletion mutant version of the A2A receptor, lacking its C-terminal domain, was also able to form both monomeric and dimeric species when cell extracts from transfected cells were analyzed by immunoblotting. This suggests that the C-terminal tail does not participate in the dimerization. This is relevant as the C-terminal tail of A2AR is involved in heteromers formed by A2AR and dopamine D2 receptors. BRET ratios corresponding to A2AR-A2AR homodimers were higher than those encountered for heterodimers formed by A2AR and dopamine D2 receptors. As A2AR and dopamine D2 receptors do indeed interact, these results indicate that A2AR homodimers are the functional species at the cell surface and that they coexist with A2AR/D2 receptor heterodimers.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".