Distinct Contributions of the Lectin and Arm Domains of Calnexin to Its Molecular Chaperone Function
Bibliographic record
Abstract
Calnexin is a Ca2+-binding transmembrane chaperone of the endoplasmic reticulum that recognizes Glc1Man5-9GlcNAc2 oligosaccharides on folding glycoproteins as well as non-native elements of the polypeptide backbone. This latter mode of recognition enables calnexin to suppress the aggregation of both glycosylated and nonglycosylated substrates. The luminal portion of calnexin (S-Cnx) consists of two domains, a globular lectin domain and an extended arm domain. To understand the function of these domains during the interaction of calnexin with non-native protein conformers, we tested deletion mutants of S-Cnx for their abilities to suppress the aggregation of nonglycosylated firefly luciferase. The arm domain alone exhibited no capacity to suppress aggregation. However, stepwise truncation of the arm domain in S-Cnx resulted in a progressive reduction in aggregation suppression potency to the point where the globular domain alone exhibited 25% potency. To characterize the polypeptide-binding site, we used hydrophobic peptides that were competitors of the ability of S-Cnx to suppress luciferase aggregation. Direct binding experiments revealed a single site of peptide binding in the globular domain (Kd = 0.9 microm) at a location distinct from the lectin site. Progressive truncation of the arm domain in S-Cnx had no effect on the binding of small peptides but reduced the binding affinity of S-Cnx for large, non-native protein substrates. Because protein substrates exhibited no binding to the isolated arm domain, our findings support a model in which calnexin suppresses aggregation through a polypeptide-binding site in its globular domain, with the arm domain enhancing aggregation suppression by sterically constraining large substrates.
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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".