Identification of restriction endonucleases sensitive to 5-cytosine methylation at non-CpG sites, including expanded (CAG)n/(CTG)n repeats
Bibliographic record
Abstract
Most epigenetic studies assess methylation of 5'-CpG-3' sites but recent evidence indicates that non-CpG cytosine methylation occurs at high levels in humans and other species. This is most prevalent at 5'-CHG-3', where H = A, C or T, and it preferentially occurs at 5'-CpA-3' and 5'-CpT-3' sites. With the goal of facilitating the detection of non-CpG methylation, the restriction endonucleases ApeKI, BbvI, EcoP15I, Fnu 4HI, MwoI and TseI were assessed for their sensitivity to 5-methylcytosine at GpCpA, GpCpT, GpCpC or GpCpG sites, where methylation is catalyzed by the DNA 5-cytosine 5'-GpC-3' methyltransferase M.CviPI. We tested a variety of sequences including various plasmid-based sites, a cloned disease-associated (CAG)83•(CTG)83 repeat and in vitro synthesized tracts of only (CAG)500•(CTG)500 or (CAG)800•(CTG)800. The repeat tracts are enriched for the preferred CpA and CpT motifs. We found that none of the tested enzymes can cleave their recognition sequences when they are 5'-GpC-3' methylated. A genomic site known to convert its non-CpG methylation levels upon C2C12 differentiation was confirmed through the use of these enzymes. These enzymes can be useful in rapidly and easily determining the most common non-CpG methylation status in various sequence contexts, as well as at expansions of (CAG)n•(CTG)n repeat tracts associated with diseases like myotonic dystrophy and Huntington disease.
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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".