Analysis of regulators of G protein signaling (RGS) 5 regulation and lysophosphatidic acid (LPA) signaling in muscle cells
Bibliographic record
Abstract
G protein-coupled Receptor (GPCR) signalling pathways are essential for all aspects of cell and organ physiology and the involved proteins work together to transmit signals across the plasma membrane. This process is highly regulated by a number of proteins including RGS (Regulators of G protein Signalling) proteins, which serve as GTPase-activating proteins for the Galpha subunit of heterotrimeric G proteins. Previous work in our lab has identified RGS5 as being expressed in the heart as well as being up regulated in the atria but not the ventricules of transgenic (TG4) mice that have a 195-fold cardiac increase in beta2AR levels. To further characterize RGS5 expression, an RGS5 specific antiserum was generated. Western Blot analysis of a panel of rat tissues demonstrated that basal expression of RGS5 protein was confined to the heart and skeletal muscle tissues, as well as the respective cell lines HL-1 and C2C12. Although GPCRs and RGSs are actively being studied in the heart, little is known regarding the role of GPCRs and RGSs in skeletal muscle. Moreover, several conditions such as atrophy, which is characterized by apoptosis of the muscle fibers, are associated with GPCRs in the skeletal muscle. As a prelude to investigating the role of RGS5 in the regulation of GPCR signaling, we identified a number of GPCRs that are able to signal via ERK1/2 in C2C12 skeletal muscle cells. The signalling and responses induced by one GPCR agonist, Lysophosphatidic Acid (LPA), a potent inducer of survival and apoptosis, were analyzed in C2C12 skeletal muscle cells.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".