Direct Analysis of Enzyme-Catalyzed DNA Demethylation
Bibliographic record
Abstract
N/O-methylation of DNA can be cytotoxic and mutagenic; therefore, enzymes that reverse DNA methylation are essential for organism survival. Several 2-oxoglutarate-dependent oxygenases and methyltransferases that remove a methyl group from a methylated DNA base have been identified. Studies of their kinetics and search for their inhibitors have been retarded by the lack of an approach to directly quantitate DNA substrates and products that differ by a single methyl group. Here, we introduce such an approach, which is based on capillary electrophoresis with laser-induced fluorescence detection. We achieved baseline separation of a fluorescently labeled 15-nucleotide-long single-base methylated DNA substrate from its demethylated product, followed by its quantitative detection. We then used this approach to study the kinetics of AlkB-catalyzed DNA demethylation and screen a number of potential inhibitors of this reaction. Ten new inhibitors, which can be used as templates in developing therapies targeting AlkB-like enzymes, were identified. Our approach will be applicable for in vitro kinetic studies of known DNA demethylating and methylating enzymes and in the discovery of new ones.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".