Evaluation of a Quantitative DNA Methylation Analysis Technique using Methylation-Sensitive/Dependent Restriction Enzymes and Real-Time PCR
Why this work is in the frame
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Bibliographic record
Abstract
DNA methylation in mammals has been shown to play many important roles in diverse biological phenomena. Several methods have been developed for the measurement of region-specific levels of DNA methylation. We sought a technique that could be used to quantitatively evaluate multiple independent loci in several tissues in a quick and cost-effective manner. Recently, a few quantitative techniques have been developed by employing the use of real-time PCR, though they require the additional step of sodium bisulfite conversion. Here we evaluate a technique that involves the digestion of non-sodium bisulfite-treated genomic DNA using methylation-sensitive and methylation-dependent restriction enzymes followed by real-time PCR. The utility of this method is tested by analyzing seventeen genomic regions of known tissue-specific levels of DNA methylation including three imprinted genes. We find that this approach generates rapid, reproducible and accurate results (range = +/-5%) without the additional time required for bisulfite conversion. This approach is also adaptable for use with smaller amounts of starting material. We propose this method as a rapid, quantitative method for the analysis of DNA methylation at single sites or within small regions of DNA.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 it