The role of CMKLR1a in the differentiation and function of C2C12 myoblasts
Bibliographic record
Abstract
Chemerin is a novel adipokine that exerts its effects via the G‐protein coupled receptor CMKLR1. Recent studies have shown that CMKLR1 plays an important role in the differentiation and function of cultured adipocytes and osteoblasts. We hypothesize that CMKLR1 plays a functional role in the differentiation of myoblasts due to their common mesenchymal ancestry with adipocytes and osteoblasts. In the present study we show that CMKLR1 mRNA is expressed in mouse skeletal muscle. In C2C12 mouse myoblasts, the expression of CMKLR1 increases 3‐fold with the differentiation of those cells into multinucleated myotubules. Consistent with the mRNA expression immunodetectable CMKLR1 is present in the myotubules. Abolishing CMKLR1 expression using adenoviral‐delivered shRNA: impairs the differentiation of C2C12 myoblasts into mature myotubules; inhibits the expression of muscle specific transcription factors myogenin and myoD, and reduces the expression of glucose transporter‐4 and the insulin receptor. We conclude that CMKLR1 signaling is active in skeletal muscle cells and that this pathway acts as a regulator of myogenesis. This work was supported by operating grants from CIHR, NSHRF, PEF and DMRF.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
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".