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Record W2043712123 · doi:10.1002/jcb.21746

Histone deacetylases as transducers and targets of nuclear signaling

2008· review· en· W2043712123 on OpenAlex
Donald R. Walkinshaw, Soroush Tahmasebi, Nicholas Bertos, Xiang‐Jiao Yang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Cellular Biochemistry · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHistone Deacetylase Inhibitors Research
Canadian institutionsMcGill University
FundersNational Cancer InstituteCanadian Institutes of Health Research
KeywordsHistoneCrosstalkHistone deacetylaseAcetylationChromatinHDAC10Cell biologyHDAC11Histone deacetylase 5LysineBiologyChemistryBiochemistryPhysicsDNAAmino acidGene

Abstract

fetched live from OpenAlex

Histone deacetylase (HDAC) activity was first discovered about 40 years ago, but it was not until the molecular identification of the first HDACs in 1996 that this family of enzymes gained prominence. In addition to histones, HDACs reverse lysine acetylation of various non-histone proteins located in the nucleus and the cytoplasm. Here, we examine the nuclear roles of these enzymes, with a specific focus on their active crosstalk with different chromatin regulators.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.508
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.017
GPT teacher head0.310
Teacher spread0.294 · 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