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Record W2075923951 · doi:10.2741/3311

PML nuclear bodies as sites of epigenetic regulation

2009· review· en· W2075923951 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFrontiers in bioscience · 2009
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsHospital for Sick Children
FundersCanadian Institutes of Health Research
KeywordsEpigeneticsPromyelocytic leukemia proteinChromatinMethyltransferaseBiologyHistoneNuclear proteinCell biologyGeneticsHistone methyltransferaseCarcinogenesisTranscription factorCancer researchDNAMethylationGene

Abstract

fetched live from OpenAlex

The protein-based core of a promyelocytic leukemia nuclear body (PML NB) accumulates numerous factors involved in many nuclear processes, including transcription and DNA repair. We suggest that these proteins could act on chromatin in the vicinity of the bodies. The physical dependence of PML NB structure on the integrity of the surrounding DNA implies a functional connection between the bodies and chromatin. Indeed, some genetic loci are non-randomly associated with PML NBs, indicating that nuclear bodies organize at specific loci, or are able to recruit specific genetic loci to their periphery. Since many of the factors that accumulate in PML NBs and PML-containing structures in acute promyelocytic leukemia cells are known histone methyltransferases, histone deacetylases or DNA methyltransferases, we suggest that PML NBs may have a role as epigenetic regulators. Down-regulation of normal PML protein, observed in a variety of cancers, may impair epigenetic regulation in early tumorigenesis, which ultimately leads to genetic instability and cellular transformation.

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.

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 score0.986
Threshold uncertainty score0.960

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 head0.015
GPT teacher head0.283
Teacher spread0.268 · 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