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Record W2510612655 · doi:10.2217/epi-2016-0013

Genome-Wide Methylation Analysis of <i>DNMT3B</i> Gene Isoforms Revealed Specific Methylation Profiles in Breast Cell Lines

2016· article· en· W2510612655 on OpenAlexaff
Karine V. Plourde, Yvan Labrie, Geneviève Ouellette, Marie‐Christine Pouliot, Francine Durocher

Bibliographic record

VenueEpigenomics · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversité LavalCentre hospitalier de l'Université Laval
Fundersnot available
KeywordsMethylationBiologyDNA methylationGene isoformCpG siteIllumina Methylation AssayMicroarray analysis techniquesGeneDNMT3BGeneticsMolecular biologyGene expression

Abstract

fetched live from OpenAlex

AIM: The goal of this study is to characterize the specific methylation profile triggered by DNMT3B protein isoforms expressed at different levels in breast cell lines. MATERIALS & METHODS: Microarray DNA methylation data were analyzed and associated with functional genome annotation data. RESULTS: A large spectrum of DNMT3B3/DNMT3B2 expression ratio values was observed in parental breast cell lines. According to their methylation profiles, hierarchical clustering of untransfected cell lines revealed clustering based on their ER/PR status. Overexpression of DNMT3B3 triggered methylation changes of thousands of CpG sites in breast cells. Based on the trend of methylation changes, the results suggest an antiproliferative action of the DNMT3B3 isoform through a dominant negative effect on its wild-type counterpart DNMT3B2. CONCLUSION: This study revealed specific pathways modulated by DNMT3B isoforms, which could regulate cell proliferation and other biological mechanisms. This illustrates the importance of multiple interactions between isoforms in the complexity of methylation processes.

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 score0.004

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)0.0010.000

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 head0.011
GPT teacher head0.234
Teacher spread0.223 · 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

Citations8
Published2016
Admission routes1
Has abstractyes

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