Monitoring of Ligand-independent Dimerization and Ligand-induced Conformational Changes of Melatonin Receptors in Living Cells by Bioluminescence Resonance Energy Transfer
Bibliographic record
Abstract
Several G protein-coupled receptors have been shown to exist as homo-and hetero-oligomeric complexes in living cells. However, the link between ligand-induced receptor activation and its oligomerization state as well as the proportion of the total receptor population that can engage in oligomeric complexes remain open questions. Here, the closely related human MT1 and MT2 melatonin receptors (MT1R, MT2R) were used to address these issues. Bioluminescence resonance energy transfer (BRET) experiments in living HEK 293 cells revealed that these receptors form homo- and hetero-oligomers. Constitutive energy transfer was observed for all receptor combinations at physiological expression levels and could be detected in single cell BRET experiments. Inhibition of the energy transfer by dilution of the BRET partners identified MT1R and MT2R dimers as the predominant receptor species, and this oligomerization state did not change upon agonist and antagonist binding. Agonists, neutral antagonists, and inverse agonists all promoted increases in BRET values for MT2R but not for MT1R homodimers in living cells and isolated plasma membranes. This indicates that no correlation could be inferred between the receptor activation state and the dimerization state of the receptor. This also suggests that ligand-promoted BRET increases represent specific ligand-induced conformational changes of pre-existing dimers rather then increased dimerization. The observation that ligands favored the energy transfer within the hetero-oligomer from MT1R to MT2R but not in the reverse orientation, from MT2R to MT1R, supports this view.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".