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Record W2206264177 · doi:10.1002/bies.201500157

HMGNs: The enhancer charmers

2015· review· en· W2206264177 on OpenAlexafffund
Alexia Martínez de Paz, Juan Ausió

Bibliographic record

VenueBioEssays · 2015
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Chromatin Dynamics
Canadian institutionsUniversity of Victoria
FundersCanadian Institutes of Health Research
KeywordsChromatinEnhancerNucleosomeHistoneBiologyChIA-PETGeneticsEnhancer RNAsPromoterTranscription (linguistics)Cell biologyTranscription factorGeneComputational biologyGene expression

Abstract

fetched live from OpenAlex

The DNase I hypersensitive sites (DHSs) of chromatin constitute one of the best landmarks of eukaryotic genes that are poised and/or activated for transcription. For over 35 years, the high-mobility group nucleosome-binding chromosomal proteins HMGN1 and HMGN2 have been shown to play a role in the establishment of these chromatin-accessible domains at transcriptional regulatory elements, namely promoters and enhancers. The critical presence of HMGNs at enhancers, as highlighted by a recent publication, suggests a role for them in the structural and functional fine-tuning of the DHSs in vertebrates. As we review here, while preferentially out-competing histone H1 binding and invading neighbor nucleosomes, HMGNs may also modulate histone H3 at serine 10 (H3S10ph), which plays an important role in enhancer function and transcriptional initiation.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.965
Threshold uncertainty score0.813

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.040
GPT teacher head0.325
Teacher spread0.285 · 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 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

Citations20
Published2015
Admission routes2
Has abstractyes

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