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Record W1893182892 · doi:10.1139/bcb-2015-0017

Regulation of cell differentiation and function by the euchromatin histone methyltranserfases G9a and GLP

2015· review· en· W1893182892 on OpenAlexaffvenue
Jamie M. Kramer

Bibliographic record

VenueBiochemistry and Cell Biology · 2015
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsWestern University
Fundersnot available
KeywordsEuchromatinBiologyHistone methyltransferaseHistoneGeneticsChromatinCell biologyEpigeneticsHistone methylationMethyltransferaseHeterochromatinGeneMethylationGene expression

Abstract

fetched live from OpenAlex

The euchromatin histone methyltransferases (EHMTs) are an evolutionarily conserved protein family that are known for their ability to dimethylate histone 3 at lysine 9 in euchromatic regions of the genome. In mammals there are two EHMT proteins, G9a, encoded by EHMT2, and GLP, encoded by EHMT1. EHMTs have diverse roles in the differentiation of different tissues and cell types and are involved in adult-specific processes like memory, drug addiction, and immune response. This review discusses recent findings from rodent and Drosophila models that are beginning to reveal the broad biological role and complex mechanistic functioning of EHMT 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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.018
GPT teacher head0.274
Teacher spread0.256 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations41
Published2015
Admission routes2
Has abstractyes

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