Gene expression profiling of the RAS in myoblasts following differentiation and mechanical stretch
Bibliographic record
Abstract
Recent evidence, using animal models, suggests that angiotensin II can positively influence skeletal muscle hypertrophy. We conducted a genetic profile of RAS family members during C2C12 myoblast proliferation and differentiation. We also examined RAS family member gene expression following 4h of mechanical stretch. Both angiotensin II receptors (AT1 and AT2) were expressed in proliferating and differentiating myobasts and were significantly upregulated at day 1 of differentiation, while the AT2 receptor demonstrated a persistent upregulation at both day 1 and day 3 as compared to proliferation. Interestingly, angiotensiogen was transiently downregulated upon exposure to differentiation media but was significantly upregulated at day 7 of differentiation. Furthermore, angiotensin converting enzyme showed weak expression during proliferation but increased significantly upon differentiation across all time points. Immediately following mechanical stretch we observed a reduction in AT1 and AT2 gene expression. In addition we observed an increase in AT1 expression 4h post stretch. These results suggest that RAS family members may play a role in regulating myoblast differentiation. Furthermore, it appears that RAS family members are responsive to stretch‐induced stress.
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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".