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Record W1979101966 · doi:10.1089/dna.2006.25.124

High Levels of Oxidative Stress Globally Inhibit Gene Transcription and Histone Acetylation

2006· article· en· W1979101966 on OpenAlexafffund
Maryse Berthiaume, Nadia Boufaied, Annie Moisan, Luc Gaudreau

Bibliographic record

VenueDNA and Cell Biology · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Chromatin Dynamics
Canadian institutionsUniversité de Sherbrooke
FundersNational Cancer InstituteCanada Research ChairsTerry Fox FoundationCancer Research Society
KeywordsBiologyTranscription (linguistics)RNA polymerase IIAcetylationHistoneOxidative stressCell biologyRNA polymeraseRNA polymerase II holoenzymeTranscription factoriesMolecular biologyGene expressionPromoterGeneRNABiochemistry

Abstract

fetched live from OpenAlex

Oxidative stress has been shown to induce ubiquitynation of RNA polymerase II, but direct bearing of that phenomenon on global transcription still remains elusive. In this report, we show that high levels of cellular oxidative stress globally inhibit gene transcription, and that this decrease in transcription is only partly attributable to reduced binding of RNA polymerase II to a model gene promoter. Importantly, we show that this decrease in transcription correlates with a significant decrease in histone H3 and H4 acetylation levels both throughout a model gene, and also globally in the nucleus of cells. Our results suggest that high levels of oxidative stress can inhibit transcription by a mechanism, at least in part, that impedes global histone acetylation levels.

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 score0.001
Threshold uncertainty score0.003

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 communication0.0010.000
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 head0.005
GPT teacher head0.205
Teacher spread0.200 · 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

Citations38
Published2006
Admission routes2
Has abstractyes

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