N‐glycosylation mediated folding and quality control in serine proteases of the hepsin family
Bibliographic record
Abstract
N-linked glycans are specifically attached to asparagine residues in a N-X-S/T motif of secretory pathway glycoproteins. N-glycosylation of newly synthesized glycoproteins directs their folding via the lectin chaperones calnexin and calreticulin that are associated with protein-folding enzymes and glycosidases of the endoplasmic reticulum (ER). Misfolded glycoproteins are retained in the ER by the same lectin chaperones. The work by Sun et al. (FEBS J 2023, 10.1111/febs.16757) in this issue focusses on hepsin, a serine protease on the surface of liver and other organs. The authors deduce that spatial positioning of N-glycans on one side of a conserved domain of hepsin, known as the scavenger receptor-rich cysteine domain, regulates calnexin selection for hepsin maturation and transport through the secretory pathway. If N-glycosylation is elsewhere on hepsin, then it is misfolded and has a prolonged accumulation with calnexin and BiP. This association coincides with the engagement of stress response pathways that sense glycoprotein misfolding. The topological considerations of N-glycosylation dissected by Sun et al. may help unravel how key sites of N-glycosylation sites required for protein folding and transport have evolved to select the lectin chaperone calnexin pathway for folding and quality control.
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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) | 0.000 | 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 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".