Internalization and Src Activity Regulate the Time Course of ERK Activation by Delta Opioid Receptor Ligands
Bibliographic record
Abstract
The present study showed that delta opioid receptor (deltaOR) ligands Tyr-Ticpsi [CH(2)-NH]Cha-Phe-OH (TICP) and ICI174864 behaved as inverse agonists in the cyclase pathway but induced agonist responses in the ERK cascade. Unlike ligands that behaved as agonists in both pathways, and whose stimulation of ERK was marked but transient (10 min), ERK activation by ICI174864 and TICP was moderate and sustained, lasting for more than 1 h in the case of TICP. Biochemical experiments showed that duration of ERK activation by agonists and "dual efficacy ligands" was inversely correlated with their ability to trigger receptor phosphorylation and degradation. Thus, although TICP stabilized deltaORs in a conformation that did not incorporate (32)P, was not a substrate for tyrosine kinase Src, and was not down-regulated following prolonged exposure to the drug, the conformation stabilized by D-Pen-2,5-enkephalin (DPDPE) incorporated (32)P, was phosphorylated by Src, and suffered degradation within the first 2 h of treatment. Inhibition of endocytosis by sucrose prolonged ERK activation by DPDPE increasing the decay half-life of the response to values that resembled those of dual efficacy ligands (from a 2-min decay t((1/2)) increased to 12 min). Src inhibitor PP2 also prolonged ERK stimulation by DPDPE. It did so by maintaining a sustained activation of the kinase at approximately 20% of maximum following an initial rapid reduction in the response. These results show that specific kinetics of ERK activation by agonists and dual efficacy ligands are determined, at least in part, by the differential ability of the two types of drugs to trigger mechanisms regulating deltaOR responsiveness.
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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".