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Record W4206436884 · doi:10.1139/bcb-2021-0441

Overexpression of protein disulfide isomerase enhances vitamin K epoxide reductase activity

2022· article· en· W4206436884 on OpenAlexvenueno aff
Thomas Chetot, Etienne Benoît, Véronique Lambert, Virginie Lattard

Bibliographic record

VenueBiochemistry and Cell Biology · 2022
Typearticle
Languageen
FieldNursing
TopicVitamin K Research Studies
Canadian institutionsnot available
FundersAgence Nationale de la Recherche
KeywordsVitamin K epoxide reductaseProtein disulfide-isomeraseVitaminBiochemistryChemistryReductaseIsomeraseEnzymeVKORC1Biology

Abstract

fetched live from OpenAlex

Vitamin K epoxide reductase (VKOR) activity is catalyzed by the VKORC1 enzyme. It is a target of vitamin K antagonists (VKA). Numerous mutations of VKORC1 have been reported and are suspected to confer resistance to VKA and (or) affect its velocity. Nevertheless, the results of these studies have been conflicting, and the functional characterization of these mutations in the cell system is complex because of the interweaving of VKOR activity in the vitamin K cycle. In this study, a new cellular approach was implemented to evaluate the vitamin K cycle in HEK293 cells. This global approach was based on the vitamin K quinone/vitamin K epoxide (K/KO) balance. In the presence of VKA or when VKORC1 and VKORC1L1 were knocked out, the K/KO balance decreased significantly due to the accumulation of vitamin KO. In contrast, when VKORC1 was overexpressed, the balance remained unchanged, demonstrating the limitation of VKOR activity. This limitation was shown to be due to insufficient expression of the activation partner of VKORC1, as overexpression of protein disulfide isomerase (PDI) overcomes this limitation. This study is the first to demonstrate the functional interaction between VKORC1 and PDI.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.530

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.275
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2022
Admission routes1
Has abstractyes

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