Glycosylation of human proteinase-activated receptor-2 (hPAR2): role in cell surface expression and signalling
Bibliographic record
Abstract
We have analysed the role of N-linked glycosylation in regulating human proteinase-activated receptor-2 (hPAR(2)) expression and function. Epitope-tagged wild-type hPAR(2) (wt-hPAR(2)) or hPAR(2) that lacked glycosylation sequons (following site-directed mutagenesis) in either the N-terminus [hPAR(2)N30A (Asn(30)-->Ala)], extracellular loop 2 [ECL2; hPAR(2)N222Q (Asn(222)-->Gln) or hPAR(2)N222A (Asn(222)-->Ala)] or both (hPAR(2)N30A,N222A or hPAR(2)N30A,N222Q) were expressed in the Chinese-hamster ovary (CHO) fibroblast cell line, Pro5. Western blot analysis of wt-hPAR(2) showed mature wt-hPAR(2) to have a molecular mass of 55-100 kDa, and 33-48 kDa following N -glycosidase F deglycosylation. FACS analysis and immunocytochemistry of the wt-hPAR(2) and PAR(2) mutant cell lines revealed that removal of both glycosylation sequons decreases (50% of wt-hPAR(2)) cell surface expression. Western blot analysis indicated that both N-linked sites are glycosylated. In functional studies, hPAR(2)N30A displayed a selective and significant increase in sensitivity towards tryptase. Interestingly, hPAR(2)N222A displayed a loss in sensitivity towards all PAR(2) agonists tested. However, further analysis revealed receptor sensitivity to alanine mutations in this domain, as the more conservative substitution hPAR(2)N222Q displayed no change in response to PAR(2) agonists. hPAR(2)N30A,N222Q displayed increased sensitivity towards tryptase, but a loss in sensitivity towards trypsin and the synthetic peptide SLIGRL-NH(2), although this loss in sensitivity towards trypsin and SLIGRL-NH(2) was secondary to changes in cell-surface expression. Finally, expression of sialic-acid-deficient wt-hPAR(2) in the CHO Lec2 glycosylation-deficient mutant cell line, showed a 40 kDa loss in molecular mass, in addition to a marked and selective increase in sensitivity towards tryptase. We conclude that hPAR(2) N-linked glycosylation and sialylation regulates receptor expression and/or signalling.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".