A novel mechanism of translational control by RGS2
Bibliographic record
Abstract
The Regulator of G protein Signaling (RGS) proteins serve as GTPase accelerating proteins. We have identified a novel role for RGS2 in the control of protein synthesis that is independent of its established RGS domain function. The objective of this research was to characterize further this new aspect of RGS2 signaling, with the promise of identifying a novel therapeutic target for treating diseases characterized by impaired protein synthesis. RGS2 was found to bind to the eukaryotic initiation factor 2 ε‐subunit (eIF2Bε) in a yeast two‐hybrid screen, and this interaction was confirmed at the protein level by co‐immunoprecipitation. RGS2 was able to inhibit de novo protein synthesis in an in vitro translation assay, whereas RGS1 and RGS4 did not interact with eIF2Bε or have an effect on protein synthesis. The ability of RGS2 to interact with eIF2Bε and inhibit protein synthesis was dependent on a subdomain within its RGS domain, spanning residues 79–116. An RGS2 peptide based on the eIF2Bε‐interacting region was capable of inhibiting protein synthesis in the translation assay. This work was supported by the Canadian Institutes of Health Research and the Heart and Stroke Foundation of Ontario.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".