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Record W2181744627 · doi:10.1016/j.bbrep.2015.11.012

Thioredoxin 1 regulation of protein S -desulfhydration

2015· article· en· W2181744627 on OpenAlexafffund
YoungJun Ju, Lingyun Wu, Guangdong Yang

Bibliographic record

VenueBiochemistry and Biophysics Reports · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSulfur Compounds in Biology
Canadian institutionsLaurentian UniversityLakehead University
FundersHeart and Stroke Foundation of Canada
KeywordsGene knockdownThioredoxinGlyceraldehyde 3-phosphate dehydrogenaseCysteineChemistryBiochemistryMolecular biologyEnzymeCell biologyBiologyGeneDehydrogenase

Abstract

fetched live from OpenAlex

The importance of H 2 S in biology and medicine has been widely recognized in recent years, and protein S- sulfhydration is proposed to mediate the direct actions of H 2 S bioactivity in the body. Thioredoxin 1 (Trx1) is an important reducing enzyme that cleaves disulfides in proteins and acts as an S -denitrosylase. The regulation of Trx1 on protein S -sulfhydration is unclear. Here we showed that Trx1 facilitates protein S -desulfhydration. Overexpression of Trx1 attenuated the basal level and H 2 S-induced protein S -sulfhydration by direct interaction with S -sulfhydrated proteins, i.e., glyceraldehyde 3-phosphate dehydrogenase and pyruvate carboxylase. In contrast, knockdown of Trx1 mRNA expression by short interfering RNA or blockage of Trx1 redox activity with PX12 or 2,4-dinitrochlorobenzene enhanced protein S -sulfhydration. Mutation of cysteine-32 but not cysteine-35 in the Trp–Cys 32 –Gly–Pro–Cys 35 motif eliminated the binding of Trx1 with S -sulfhydrated proteins and abolished the S -desulfhydrating effect of Trx1. All these data suggest that Trx1 acts as an S -desulfhydrase.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.015
GPT teacher head0.243
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), 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

Citations25
Published2015
Admission routes2
Has abstractyes

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