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Record W1973011997 · doi:10.1016/j.febslet.2004.06.018

Histone deacetylase inhibitors regulate p21<sup>WAF1</sup> gene expression at the post‐transcriptional level in HepG2 cells

2004· article· en· W1973011997 on OpenAlexaff
Calley Hirsch, Keith Bonham

Bibliographic record

VenueFEBS Letters · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHistone Deacetylase Inhibitors Research
Canadian institutionsSaskatchewan Cancer AgencyUniversity of Saskatchewan
Fundersnot available
KeywordsHistone deacetylaseHDAC11Histone deacetylase 5HistoneHistone deacetylase 2Cyclin-dependent kinaseHistone deacetylase inhibitorTranscriptional regulationBiologyCancer researchRegulation of gene expressionGene expressionCell biologyTranscription (linguistics)Cell cycleCyclin D1GeneGenetics

Abstract

fetched live from OpenAlex

Histone deacetylase inhibitors (HDIs) are thought to act primarily at the level of transcription inducing cell cycle arrest, differentiation and/or apoptosis in many cancer cell types. Induction of the potent cdk/cyclin inhibitor p21WAF1 is a key feature of this HDI mediated transcriptional re-programming phenomenon. However, in the current study we report that HDIs are also capable of inducing p21WAF1 through purely post-transcriptional events, namely increased mRNA stability. These studies highlight our growing appreciation for the complexities of HDI mediated effects and challenge our preconceptions regarding the action of these promising anti-neoplastics.

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 score0.003
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)0.0020.001

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 head0.013
GPT teacher head0.249
Teacher spread0.236 · 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

Citations36
Published2004
Admission routes1
Has abstractyes

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