PKCε regulates contraction‐stimulated GLUT4 traffic in skeletal muscle cells
Bibliographic record
Abstract
The signaling pathways that stimulate glucose uptake in response to muscle contraction are not well defined. Recently, we showed that carbachol, an acetylcholine analog, stimulates contraction of C2C12 myotube cultures and the rapid arrival of myc-epitope tagged GLUT4 glucose transporters at the cell surface. Here, we explore a role for protein kinase C (PKC) in regulating GLUT4 traffic. Cell surface carbachol-induced GLUT4myc levels were partly inhibited by the conventional/novel PKC inhibitors GF-109203X, Gö6983, and Ro-31-8425 but not by the conventional PKC inhibitor Gö6976. C2C12 myotubes expressed several novel isoforms of PKC mRNA with PKCδ and PKCε in greater abundance. Carbachol stimulated phosphorylation of PKC isoforms and translocation of PKCδ and PKCε to membranes within 5 min. However, only a peptidic inhibitor of PKCε translocation (myristoylated-EAVSLKPT), but not one of PKCδ (myristoylated-SFNSYELGSL), prevented the GLUT4myc response to carbachol. Significant participation of PKCε in the carbachol-induced gain of GLUT4myc at the surface of C2C12 myotubes was further supported through siRNA-mediated PKCε protein knockdown. These findings support a role for novel PKC isoforms, especially PKCε, in contraction-stimulated GLUT4 traffic in muscle cells.
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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".