Differential expression of regulator of G‐protein signaling R12 subfamily members during mouse development
Bibliographic record
Abstract
Regulators of G-protein Signaling (RGS proteins) are a multigene family of GTPase-accelerating proteins for the Galpha subunit of heterotrimeric G-proteins. The mammalian R12 RGS protein subfamily is composed of RGS12 and RGS14, two proteins characterized by their multidomain architecture of hallmark RGS domain, tandem Ras-binding domains (RBDs), and a second Galpha interacting domain, the GoLoco motif. The Rgs12 gene generates multiple splice variants, the largest of which encodes N-terminal PDZ and PTB domains in addition to the core RGS/RBD/GoLoco motifs. The Rgs14 gene encodes a protein similar to the non-PDZ/PTB domain RGS12 splice variants. The spatiotemporal expression patterns of RGS12 and RGS14 proteins were examined by immunohistochemistry in a developmental series of postimplantation mouse embryo. We report that RGS12 splice variants exhibit differential spatiotemporal patterns of expression during postimplantation embryogenesis, suggesting nonoverlapping roles. In contrast, RGS14 is found ubiquitously throughout the postimplantation period. We conclude that R12 subfamily RGS proteins likely play significant and different roles in specific tissues and periods of mouse embryogenesis.
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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 | 0.001 | 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 | 0.001 |
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".