Importance of N-glycosylation positioning for cell-surface expression, targeting, affinity and quality control of the human AT1 receptor
Bibliographic record
Abstract
GPCRs (G-protein-coupled receptors) are preferentially N-glycosylated on ECL2 (extracellular loop 2). We previously showed that N-glycosylation of ECL2 was crucial for cell-surface expression of the hAT1 receptor (human angiotensin II receptor subtype 1). Here, we ask whether positioning of the N-glycosylation sites within the various ECLs of the receptor is a vital determinant in the functional expression of hAT(1) receptor at the cell surface. Artificial N-glycosylation sequons (Asn-Xaa-Ser/Thr) were engineered into ECL1, ECL2 and ECL3. N-glycosylation of ECL1 caused a very significant decrease in affinity and cell surface expression of the resulting receptor. Shifting the position of the ECL2 glycosylation site by two residues led to the synthesis of a misfolded receptor which, nevertheless, was trafficked to the cell surface. The misfolded nature of this receptor is supported by an increased interaction with the chaperone HSP70 (heat-shock protein 70). Introduction of N-glycosylation motifs into ECL3 yielded mutant receptors with normal affinity, but low levels of cell surface expression caused by proteasomal degradation. This behaviour differed from that observed for the aglycosylated receptor, which accumulated in the endoplasmic reticulum. These results show how positioning of the N-glycosylation sites altered many properties of the AT1 receptor, such as targeting, folding, affinity, cell surface expression and quality control.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".