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Record W2111072547 · doi:10.1002/bies.20089

PML nuclear bodies: dynamic sensors of DNA damage and cellular stress

2004· review· en· W2111072547 on OpenAlexaff
Graham Dellaire, David P. Bazett‐Jones

Bibliographic record

VenueBioEssays · 2004
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsDNA damageDNA repairCell biologyGenome instabilityBiologyTranscription factorDNAPromyelocytic leukemia proteinGeneticsCancer researchNuclear proteinGene

Abstract

fetched live from OpenAlex

Promyelocytic leukaemia nuclear bodies (PML NBs) are generally present in all mammalian cells, and their integrity correlates with normal differentiation of promyelocytes. Mice that lack PML NBs have impaired immune function, exhibit chromosome instability and are sensitive to carcinogens. Although their direct role in nuclear activity is unclear, PML NBs are implicated in the regulation of transcription, apoptosis, tumour suppression and the anti-viral response. An emerging view is that they represent sites where multi-subunit complexes form and where post-translational modification of regulatory factors, such as p53, occurs in response to cellular stress. Following DNA damage, several repair factors transit through PML NBs in a temporally regulated manner implicating these bodies in DNA repair. We propose that PML NBs are dynamic sensors of cellular stress, which rapidly disassemble following DNA damage into large supramolecular complexes, dispersing associated repair factors to sites of damage. The dramatically increased total surface area available would enhance interactions between PML-associated factors regulating DNA repair and apoptosis.

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)0.001
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.005

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 head0.012
GPT teacher head0.267
Teacher spread0.255 · 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

Citations393
Published2004
Admission routes1
Has abstractyes

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