Human MeCP2 binds to promoters and inhibits transcription in an unmethylated yeast genome
Bibliographic record
Abstract
MeCP2 is a DNA-binding transcriptional regulator that is present at near-histone levels in mammalian cortical neurons. Originally identified as a DNA methylation reader, MeCP2 has been proposed to repress transcription by recruiting corepressors to methylated DNA. While some genome-wide occupancy studies support a preference for methylated DNA, others suggest that MeCP2 binding is more influenced by DNA sequence and accessibility than methylation status. Moreover, multiple studies also suggest a role for MeCP2 in gene activation. To clarify its function, we expressed MeCP2 in Saccharomyces cerevisiae, which lacks DNA methylation and known MeCP2 corepressors. We find that MeCP2 is toxic to yeast and globally inhibits transcription, indicating that MeCP2 can have significant functional impacts without DNA methylation or mammalian corepressors. A subset of MeCP2 mutations that cause the neurodevelopmental disorder Rett syndrome, particularly those that map to the DNA-binding domain, alleviate the toxicity of MeCP2 in yeast. Consistent with the importance of DNA binding for growth inhibition, we show that MeCP2 binds to the yeast genome, with increased occupancy at GC-rich, nucleosome-depleted sequences. These findings present yeast as a useful tool for analyzing MeCP2 and reveal MeCP2 properties that are not strictly dependent on DNA methylation or mammalian corepressors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".