A High-Affinity and Selective DNA Aptamer for the <i>N</i>-Linked C8-Deoxyguanosine Adduct Produced by the Arylamine Carcinogen 4-Aminobiphenyl
Bibliographic record
Abstract
4-Aminobiphenyl (4-ABP) is a known human carcinogen that is implicated in the development of bladder cancers in smokers. The amine substituent undergoes bioactivation to generate nitrenium ions capable of covalently modifying DNA nucleobases. The primary adduct of 4-ABP, N -(deoxyguanosin-8-yl)-4-aminobiphenyl (dG-C8-ABP), is a bulky N -linked C8-dG adduct that serves as a biomarker for assessing the cancer risk associated with aromatic amine exposure. In this study, the capture-SELEX method was utilized to isolate DNA aptamers for dG-C8-ABP with high affinity and specificity. Using thioflavin T fluorescence spectroscopy and isothermal titration calorimetry, the parent aptamer PdG-1 has a K d value below 100 nM and over 50-fold selectivity for dG-C8-ABP against competing analytes. A turn-on fluorescent sensor for dG-C8-ABP diagnostics, developed using a strand displacement assay, is also presented with a limit of detection of 68 nM. Our work represents the first selection of a DNA aptamer for a bulky DNA adduct produced by a known human carcinogen and sets the stage for the creation of ultrasensitive aptasensor platforms to meet the challenge of dG-C8-ABP detection in clinical settings.
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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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".