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Record W2125008819 · doi:10.1128/mcb.02037-07

Epigenetic Programming of the rRNA Promoter by MBD3

2008· article· en· W2125008819 on OpenAlexaff
Shelley E. Brown, Moshe Szyf

Bibliographic record

VenueMolecular and Cellular Biology · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsMcGill University
Fundersnot available
KeywordsBiologyPromoterMolecular biologyDNA methylationMethylationEpigenetics of physical exerciseGeneticsGeneGene expression

Abstract

fetched live from OpenAlex

Within the human genome there are hundreds of copies of the rRNA gene, but only a fraction of these genes are active. Silencing through epigenetics has been extensively studied; however, it is essential to understand how active rRNA genes are maintained. Here, we propose a role for the methyl-CpG binding domain protein MBD3 in epigenetically maintaining active rRNA promoters. We show that MBD3 is localized to the nucleolus, colocalizes with upstream binding factor, and binds to unmethylated rRNA promoters. Knockdown of MBD3 by small interfering RNA results in increased methylation of the rRNA promoter coupled with a decrease in RNA polymerase I binding and pre-rRNA transcription. Conversely, overexpression of MBD3 results in decreased methylation of the rRNA promoter. Additionally, overexpression of MBD3 induces demethylation of nonreplicating plasmids containing the rRNA promoter. We demonstrate that this demethylation occurs following the overexpression of MBD3 and its increased interaction with the methylated rRNA promoter. This is the first demonstration that MBD3 is involved in inducing and maintaining the demethylated state of a specific promoter.

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 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 score0.027
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.007
GPT teacher head0.216
Teacher spread0.209 · 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.

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

Citations60
Published2008
Admission routes1
Has abstractyes

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