Regulation of G protein-coupled receptor trafficking and signaling by Rab GTPases
Bibliographic record
Abstract
Rab GTPases play an essential role in the regulation of intracellular transport including the budding, tethering, and fusion of vesicles as well as organelle motility. The regulation of G protein-coupled receptor (GPCR) trafficking by Rab GTPases has traditionally been regarded as a non-specific process that facilitates the movement of the receptors between intracellular membrane compartments. Thus, alterations in GPCR signal transduction and trafficking following the overexpression of constitutively active and dominant negative Rabs were originally considered to be solely the passive by-product of perturbations in intracellular compartmental dynamics. Recently, an explosion of experimental studies has provided increasingly convincing evidence that receptor trafficking actively affects the signal transduction of cargo proteins and that the signaling of GPCR vesicular cargo can in turn modulate Rab GTPase regulated intracellular transport processes. This research is revealing how different Rabs coordinate with themselves and other regulatory molecules to mediate protein trafficking, as well as uncovers novel functions for traditional Rabs, while illustrating the active role these trafficking molecules play in pathology of disease. Recently published in the Journal of Neuroscience, Esseltine et al., present a novel role for the typified exocytic small G protein Rab8 in the intracellular trafficking and signal transduction of metabotropic glutamate receptor 1.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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".