Regulator of G‐protein signaling (RGS) proteins differentially control chondrocyte differentiation
Bibliographic record
Abstract
Control of chondrocyte differentiation is attained, in part, through G-protein signaling, but the functions of the RGS family of genes, well known to control G-protein signaling at the Galpha subunit, have not been studied extensively in chondrogenesis. Recently, we have identified the Rgs2 gene as a regulator of chondrocyte differentiation. Here we extend these studies to additional Rgs genes. We demonstrate that the Rgs4, Rgs5, Rgs7, and Rgs10 genes are differentially regulated during chondrogenic differentiation in vitro and in vivo. To investigate the roles of RGS proteins during cartilage development, we overexpressed RGS4, RGS5, RGS7, and RGS10 in the chondrogenic cell line ATDC5. We found unique and overlapping effects of individual Rgs genes on numerous parameters of chondrocyte differentiation. In particular, RGS5, RGS7, and RGS10 promote and RGS4 inhibits chondrogenic differentiation. The identification of Rgs genes as novel regulators of chondrogenesis will contribute to a better understanding of both normal cartilage development and the etiology of chondrodysplasias and osteoarthritis.
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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".