Hijacking of the Human Alkyl-N-purine-DNA Glycosylase by 3,N4-Ethenocytosine, a Lipid Peroxidation-induced DNA Adduct
Bibliographic record
Abstract
Lipid peroxidation generates aldehydes, which react with DNA bases, forming genotoxic exocyclic etheno(epsilon)-adducts. E-bases have been implicated in vinyl chloride-induced carcinogenesis, and increased levels of these DNA lesions formed by endogenous processes are found in human degenerative disorders. E-adducts are repaired by the base excision repair pathway. Here, we report the efficient biological hijacking of the human alkyl-N-purine-DNA glycosylase (ANPG) by 3,N(4)-ethenocytosine (epsilonC) when present in DNA. Unlike the ethenopurines, ANPG does not excise, but binds to epsilonC when present in either double-stranded or single-stranded DNA. We developed a direct assay, based on the fluorescence quenching mechanism of molecular beacons, to measure a DNA glycosylase activity. Molecular beacons containing modified residues have been used to demonstrate that the epsilonC.ANPG interaction inhibits excision repair both in reconstituted systems and in cultured human cells. Furthermore, we show that the epsilonC.ANPG complex blocks primer extension by the Klenow fragment of DNA polymerase I. These results suggest that epsilonC could be more genotoxic than 1,N(6)-ethenoadenine (epsilonA) residues in vivo. The proposed model of ANPG-mediated genotoxicity of epsilonC provides a new insight in the molecular basis of lipid peroxidation-induced cell death and genome instability in cancer.
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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 | 0.000 | 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 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".