Genome-Wide Methylation Analysis of <i>DNMT3B</i> Gene Isoforms Revealed Specific Methylation Profiles in Breast Cell Lines
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".