Role of the central region of the third intracellular loop of human D1‐class dopaminergic receptors
Bibliographic record
Abstract
Dopamine D1‐class receptors (D1, D5) are G‐protein coupled receptors (GPCRs) that mediate important physiological effects in the brain and periphery. The alpha‐helical amino and carboxyl ends of the third intracellular loop (IL3) of GPCRs respectively adjacent to transmembrane regions 5 (TM5) and 6 (TM6) play a pivotal role in receptor activation and coupling to G proteins. Meanwhile, it remains unclear whether the central region of IL3 linking the cytoplasmic extension of TM5 and TM6 significantly contribute to GPCR activation and G protein coupling. Here, we address this issue using deletions of either the conserved N‐terminal moiety or divergent C‐terminal moiety of the central region of IL3 of human D1‐class receptors (D1ΔN and D5ΔN; D1ΔC and D5ΔC). Agonist affinities were significantly increased and reduced at D1ΔN and D5ΔN, respectively. However, D1ΔC and D5ΔC displayed drastically increased agonist affinity. We also observed full abolition of constitutive activity of D1ΔN and D5ΔN, and a severe blunting in agonist‐induced cAMP formation. In Contrast, constitutive and agonist‐dependent activity of D1ΔC and D5ΔC were considerably increased. Overall, our study strongly suggests a critical role of the central region of IL3 in subtype‐specific activation of D1‐class dopaminergic signaling. Potentially, this may be achieved through distinct motifs located in the N‐ and C‐terminal moiety of the central region of IL3. This work is supported by a Graduate Scholarship from King Saud University (to AB) and OMHF grant (to MT).
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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 | 0.000 |
| 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".