RACK1 Regulates the Cell Surface Expression of the G Protein‐Coupled Receptor for Thromboxane A<sub>2</sub>
Bibliographic record
Abstract
We used the yeast two-hybrid system to screen for proteins that interact with the C-terminus of the beta isoform of the thromboxane A(2) receptor (TPbeta). This screen identified receptor for activated C-kinase 1 (RACK1) as a new TPbeta-interacting protein. Here, we show that RACK1 directly binds to the C-terminus and the first intracellular loop of TPbeta. The TPbeta-RACK1 association was further confirmed by co-immunoprecipitation studies in HEK293 cells and was not modulated by stimulation of the receptor. We observed that cell surface expression of TPbeta was increased when RACK1 was overexpressed, while it was inhibited when endogenous RACK1 expression was knocked down by small interfering RNA. Confocal microscopy confirmed the impaired cell surface expression of TPbeta and suggested that the receptors remained predominantly localized in the endoplasmic reticulum (ER) in RACK1-depleted cells. Confocal microscopy also revealed that a transient TPbeta-RACK1 association takes place in the ER. The effect of RACK1 on receptor trafficking to the cell surface appears to be selective to some G protein-coupled receptors (GPCRs) because inhibition of RACK1 expression also affected cell surface targeting of the angiotensin II type 1 receptor and CXCR4 but not of beta(2)-adrenergic and prostanoid DP receptors. Our data demonstrate for the first time a direct interaction between RACK1 and a GPCR and identify a novel role for RACK1 in the regulation of the transport of a membrane receptor from the ER to the cell surface.
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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 | 0.000 | 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".