Gαq-coupled Receptor Internalization Specifically Induced by Gαq Signaling
Bibliographic record
Abstract
In the present report, we investigated the effect of ezrin-radixin-moesin-binding phosphoprotein 50 (EBP50) expression on the agonist-induced internalization of the thromboxane A(2) beta receptor (TPbeta receptor). Interestingly, we found that EBP50 almost completely blocked TPbeta receptor internalization, which could not be reversed by overexpression of G protein-coupled receptor (GPCR) kinases and arrestins. Because we recently demonstrated that EBP50 can bind to and inhibit Galpha(q), we next studied whether Galpha(q) signaling could induce TPbeta receptor internalization, addressing the long standing question about the relationship between GPCR signaling and their internalization. Expression of a constitutively active Galpha(q) mutant (Galpha(q)-R183C) resulted in a robust internalization of the TPbeta receptor, which was unaffected by expression of dominant negative mutants of arrestin-2 and -3, but inhibited by expression of EBP50 or dynamin-K44A, a dominant negative mutant of dynamin. Phospholipase Cbeta and protein kinase C did not appear to significantly contribute to internalization of the TPbeta receptor, suggesting that Galpha(q) induces receptor internalization through a phospholipase Cbeta- and protein kinase C-independent pathway. Surprisingly, there appears to be specificity in Galpha protein-mediated GPCR internalization. Galpha(q)-R183C also induced the internalization of CXCR4 (Galpha(q)-coupled), whereas it failed to do so for the beta(2)-adrenergic receptor (Galpha(s)-coupled). Moreover, Galpha(s)-R201C, a constitutively active form of Galpha(s), had no effect on internalization of the TPbeta, CXCR4, and beta(2)-adrenergic receptors. Thus, we showed that Galpha protein signaling can lead to internalization of GPCRs, with specificity in both the Galpha proteins and GPCRs that are involved. Furthermore, a new function has been described for EBP50 in its capacity to inhibit receptor endocytosis.
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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 | 0.001 |
| 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 | 0.001 |
| 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".