Vitamin K epoxide reductase contributes to protein disulfide formation and redox homeostasis within the endoplasmic reticulum
Bibliographic record
Abstract
The transfer of oxidizing equivalents from the endoplasmic reticulum (ER) oxidoreductin (Ero1) oxidase to protein disulfide isomerase is an important pathway leading to disulfide formation in nascent proteins within the ER. However, Ero1-deficient mouse cells still support oxidative protein folding, which led to the discovery that peroxiredoxin IV (PRDX4) catalyzes a parallel oxidation pathway. To identify additional pathways, we used RNA interference in human hepatoma cells and evaluated the relative contributions to oxidative protein folding and ER redox homeostasis of Ero1, PRDX4, and the candidate oxidants quiescin-sulfhydryl oxidase 1 (QSOX1) and vitamin K epoxide reductase (VKOR). We show that Ero1 is primarily responsible for maintaining cell growth, protein secretion, and recovery from a reductive challenge. We further show by combined depletion with Ero1 that PRDX4 and, for the first time, VKOR contribute to ER oxidation and that depletion of all three activities results in cell death. Of importance, Ero1, PRDX4, or VKOR was individually capable of supporting cell viability, secretion, and recovery after reductive challenge in the near absence of the other two activities. In contrast, no involvement of QSOX1 in ER oxidative processes could be detected. These findings establish VKOR as a significant contributor to disulfide bond formation within the ER.
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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".