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Record W1552179486 · doi:10.1007/978-1-60327-461-6_17

Quantification of Redox Conditions in the Nucleus

2008· article· en· W1552179486 on OpenAlexaff
Young‐Mi Go, Jan Pohl, Dean P. Jones

Bibliographic record

VenueMethods in molecular biology · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRedox biology and oxidative stress
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsNucleusRedoxChemistryPsychologyNeuroscienceInorganic chemistry

Abstract

fetched live from OpenAlex

Many nuclear proteins contain thiols, which undergo reversible oxidation and are critical for normal function. These proteins include enzymes, transport machinery, structural proteins, and transcription factors with conserved cysteine in zinc fingers and DNA-binding domains. Uncontrolled oxidation of these thiols causes dysfunction, and two major thiol-dependent antioxidant systems provided protection. The redox states of these systems, including the small redox active protein thioredoxin-1 (Trx1) and the abundant, low molecular weight thiol antioxidant glutathione (GSH), in nuclei provide means to quantify nuclear redox conditions. Redox measurements are obtained under conditions with excess thiol-reactive reagents. Here we describe a suite of methods to measure nuclear redox state, which include a redox Western blot technique to quantify the redox state of Trxl, a biotinylated iodoacetamide (BIAM) method for thioredoxin reductase-1 (TrxR1), GSH redox measurement using total protein S-glutathionylation, and a redox isotope-coded affinity tag (ICAT) method for measuring oxidation of specific cysteines in high-abundance nuclear proteins.

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)0.001
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 score0.168
Threshold uncertainty score0.357

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.037
GPT teacher head0.412
Teacher spread0.375 · 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

Citations45
Published2008
Admission routes1
Has abstractyes

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