Enhanced μ-Opioid Responses in the Spinal Cord of Mice Lacking Protein Kinase Cγ Isoform
Bibliographic record
Abstract
The protein kinase C (PKC)gamma isoform is a major pool of the PKC family in the mammalian spinal cord. PKCgamma is distributed strategically in the superficial layers of the dorsal horn and, thus, may serve as an important biochemical substrate in sensory signal processing including pain. Here we report that mu-opioid receptor-mediated analgesia/antinociception and activation of G-proteins in the spinal cord are enhanced in PKCgamma knockout mice. In contrast, delta- and kappa-opioidergic and ORL-1 receptor-mediated activation of G-proteins in PKCgamma knockout mice was not altered significantly relative to the wild-type mice. Deletion of PKCgamma had no significant effect on the mRNA product of spinal mu-opioid receptors but caused an increase of maximal binding of the mu-opioid receptor agonist [3H][d-Ala(2),N-Me-Phe(4),Gly(5)-ol]enkephalin in spinal cord membranes obtained from PKCgamma knockout mice. These findings suggest that deletion of PKCgamma genes protects the functional mu-opioid receptors from degradation by phosphorylation. More importantly the present data provide direct evidence that PKCgamma constitutes an essential pathway through which phosphorylation of mu-opioid receptors occurs.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".