Role of Asparagine-Linked Glycosylation in Cell Surface Expression and Function of the Human Adrenocorticotropin Receptor (Melanocortin 2 Receptor) in 293/FRT Cells
Bibliographic record
Abstract
Asparagine-linked glycosylation (N-glycosylation) of G protein-coupled receptors may be necessary for functions ranging from agonist binding, folding, maturation, stability, and internalization. Human melanocortin 2 receptor (MC2R) possesses putative N-glycosylation sites in its N-terminal extracellular domain; however, to date, the role of MC2R N-glycosylation has yet to be investigated. The objective of the present study is to examine whether N-glycosylation is essential or not for cell surface expression and cAMP production in native and MC2R accessory protein (MRAP alpha, -beta, or -dCT)-expressing cells using 293/FRT transfected with Myc-MC2R. Western blot analyses performed with or without endoglycosidase H, peptide:N-glycosidase F or tunicamycin treatments and site-directed mutagenesis revealed that MC2R was glycosylated in the N-terminal domain at its two putative N-glycosylation sites (Asn(12)-Asn(13)-Thr(14) and Asn(17)-Asn(18)-Ser(19)). In the absence of human MRAP coexpression, N-glycosylation of at least one of the two sites was necessary for MC2R cell surface expression. However, when MRAP was present, cell surface expression of MC2R mutants was either rescued entirely with the N17-18Q (QQNN) and N12-13Q (NNQQ) mutants or partially with the unglycosylated N12-13, 17-18Q (QQQQ) mutant. Functional and expression analyses revealed a discrepancy between wild-type (WT) and QQQQ cell surface receptor levels and maximal cAMP production with a 4-fold increase in EC(50) values. Taken together, these results indicate that the absence of MC2R N-glycosylation abrogates to a large extent MC2R cell surface expression in the absence of MRAPs, whereas when MC2R is N-glycosylated, it can be expressed at the plasma membrane without MRAP assistance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".