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Record W1834865655 · doi:10.1186/1756-8935-6-s1-p93

Phospho-dependent recruitment of NuA4 by MRX at DNA breaks regulates RPA dynamics during resection

2013· article· en· W1834865655 on OpenAlexaff
Olivier Jobin‐Robitaille, Pierre Billon, Rémi Buisson, Valérie Côté, Hengyao Niu, Nicolas Lacoste, Patrick Sung, Jean‐Yves Masson, Jacques Côté

Bibliographic record

VenueEpigenetics & Chromatin · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Chromatin Dynamics
Canadian institutionsUniversité LavalHôtel-Dieu de Québec
Fundersnot available
KeywordsBiologyChromatinCell biologyHistoneHistone acetyltransferaseAcetylationDNA repairGeneticsDNAGene

Abstract

fetched live from OpenAlex

Background The NuA4 histone acetyltransferase is a highly conserved multisubunit complex responsible for acetylation of nucleosomal histone H4 and H2A. Mutations in different NuA4 subunits create cell cycle arrest or delay in G2/M. The NuA4 complex is important for gene expression but also the efficient repair of DNA double strand breaks (DSBs) in vivo. NuA4 is rapidly recruited to chromatin surrounding a DSB in vivo at the same time histone H2A (X) is phosphorylated in the neighboring region (g-H2AX). While we have shown that NuA4 can interact with phosphorylated H2A(X), we speculated that another interaction was required for the initial recruitment of NuA4 at the break. Based on the presence of an ATM-related factor within NuA4, the subunitTra1 (TRRAP), it was tempting to postulate that DSB sensing factors known to recruit ATM family PIKK factors could be responsible for NuA4 recruitment.

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 score0.002
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 head0.007
GPT teacher head0.217
Teacher spread0.210 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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