The influence of cytosine methylation on the chemoselectivity of benzo[a]pyrene diol epoxide‐oligonucleotide adducts determined using nanoLC/MS/MS
Bibliographic record
Abstract
Benzo[a]pyrene is a major carcinogen implicated in human lung cancer. Almost 60% of human lung cancers have a mutation in the p53 tumor suppressor gene at several specific codons. An on-line nanoLC/MS/MS method using a monolithic nanocolumn was applied to investigate the chemoselectivity of the carcinogenic diol epoxide metabolite, (+/-)-(7R,8S,9S,10R)-benzo[a]pyrene 7,8-diol 9,10-epoxide [(+/-)-anti-benzo[a]pyrene diol epoxide (BPDE)], which was reacted in vitro with a synthesized 14-mer double stranded oligonucleotide (5'-ACCCG5CG7TCCG11CG13C-3'/5'-GCGCGGGCGCGGGT-3') derived from the p53 gene. This sequence contained codons 157 and 158, which are considered mutational 'hot spots' and have also been reported as chemical 'hot spots' for the formation of BPDE-DNA adducts. In evaluating the effect of cytosine methylation on BPDE-DNA adduct binding, it was found that codon 156, containing the nucleobase G5 instead of the mutational hot spot codons 157 (G7) and 158 (G11), was the preferential chemoselective binding site for BPDE. In all permethylated cases studied, the relative ratio for adduction was found to be G5 >> G11 > G13 > G7. Permethylation of CpG dinucleotide sites on either the nontranscribed or complementary strand did not change the order of sequence preference but did enhance the relative adduction level of the G11 CpG site (codon 158) approximately two-fold versus the unmethylated oligomer. Permethylation of all CpG dinucleotide sites on the duplex changed the order of relative adduction to G5 >> G7 > G11 > G13. The three- to four-fold increase in adduction at the mutational hot spot codon 157 (G(7)) relative to the unmethylated or single-stranded permethylated cases suggests a possible relationship between the state of methylation and adduct formation for a particular mutation site in the p53 gene. Using this method, only 125 ng (30 pmol) of adducted oligonucleotide was analyzed with minimal sample cleanup and high chromatographic resolution of positional isomers in a single chromatographic run.
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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 | 0.001 | 0.001 |
| 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".