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H3–H4 Histone Chaperone Pathways

2018· review· en· W2891734513 on OpenAlexafffund
Prerna Grover, Eric I. Campos

Bibliographic record

VenueAnnual Review of Genetics · 2018
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Chromatin Dynamics
Canadian institutionsUniversity of TorontoHospital for Sick Children
FundersGarron Family Cancer CentreNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchCancer Research Society
KeywordsHistone codeHistone H2ABiologyNucleosomeHistone H1HistoneHistone H4Cell biologyHistone H3ChromatinHistone methylationHistone methyltransferaseHistone octamerChaperone (clinical)GeneticsDNAGene expressionGene

Abstract

fetched live from OpenAlex

Nucleosomes compact and organize genetic material on a structural level. However, they also alter local chromatin accessibility through changes in their position, through the incorporation of histone variants, and through a vast array of histone posttranslational modifications. The dynamic nature of chromatin requires histone chaperones to process, deposit, and evict histones in different tissues and at different times in the cell cycle. This review focuses on the molecular details of canonical and variant H3-H4 histone chaperone pathways that lead to histone deposition on DNA as they are currently understood. Emphasis is placed on the most established pathways beginning with the folding, posttranslational modification, and nuclear import of newly synthesized H3-H4 histones. Next, we review the deposition of replication-coupled H3.1-H4 in S-phase and replication-independent H3.3-H4 via alternative histone chaperone pathways. Highly specialized histone chaperones overseeing the deposition of histone variants are also briefly discussed.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.939
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.317
Teacher spread0.297 · 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.

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

Citations94
Published2018
Admission routes2
Has abstractyes

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