Enhancement of Endoplasmic Reticulum (ER) Degradation of Misfolded Null Hong Kong α1-Antitrypsin by Human ER Mannosidase I
Bibliographic record
Abstract
Misfolded glycoproteins synthesized in the endoplasmic reticulum (ER) are degraded by cytoplasmic proteasomes, a mechanism known as ERAD (ER-associated degradation). In the present study, we demonstrate that ERAD of the misfolded genetic variant-null Hong Kong alpha1-antitrypsin is enhanced by overexpression of the ER processing alpha1,2-mannosidase (ER ManI) in HEK 293 cells, indicating the importance of ER ManI in glycoprotein quality control. We showed previously that EDEM, an enzymatically inactive mannosidase homolog, interacts with misfolded alpha1-antitrypsin and accelerates its degradation (Hosokawa, N., Wada, I., Hasegawa, K., Yorihuzi, T., Tremblay, L. O., Herscovics, A., and Nagata, K. (2001) EMBO Rep. 2, 415-422). Herein we demonstrate a combined effect of ER ManI and EDEM on ERAD of misfolded alpha1-antitrypsin. We also show that misfolded alpha1-antitrypsin NHK contains labeled Glc1Man9GlcNAc and Man5-9GlcNAc released by endo-beta-N-acetylglucosaminidase H in pulse-chase experiments with [2-3H]mannose. Overexpression of ER ManI greatly increases the formation of Man8GlcNAc, induces the formation of Glc1Man8GlcNAc and increases trimming to Man5-7GlcNAc. We propose a model whereby the misfolded glycoprotein interacts with ER ManI and with EDEM, before being recognized by downstream ERAD components. This detailed characterization of oligosaccharides associated with a misfolded glycoprotein raises the possibility that the carbohydrate recognition determinant triggering ERAD may not be restricted to Man8GlcNAc2 isomer B as previous studies have suggested.
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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".