Bibliographic record
Abstract
Signaling through heterotrimeric G-proteins (G-proteins) is a conserved mechanism found in all eukaryotes. In plants, the repertoire of G-protein signaling complex is much simpler than in metazoans. Specifically, the genome of the model plant, Arabidopsis, encodes only one canonical Galpha, one Gbeta, and two Ggamma subunits. Similarly, only one Regulator of G-protein Signaling (RGS) protein is encoded by the Arabidopsis genome, and no bona fide G-protein-coupled receptor (GPCR) together with its ligand has been unequivocally identified. Nonetheless, several proteins, including AtPIRIN1, PLDa 1, PD1, and THF1, have been shown to physically interact with the Arabidopsis heterotrimeric G-protein alpha subunit (GPA1), and are potential downstream effectors for GPA1. The smaller repertoire of the heterotrimeric G-protein complex in plants offers a unique advantage over its counterpart in mammals for dissecting their roles in development. The analyses of loss-of-function alleles and gain-of-function transgenic lines of G-protein subunits and signaling components suggest that the G-proteins play regulatory roles in multiple developmental processes ranging from seed germination and early seedling development to root development and organ shape determination. Future studies are expected to reveal more components of the heterotrimeric G-protein signal transduction pathways, and to identify the mechanisms by which G-proteins regulate phenotypic and developmental plasticity.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".