Distortion-Dependent Unhooking of Interstrand Cross-Links in Mammalian Cell Extracts
Bibliographic record
Abstract
Interstrand cross-links (ICLs) are formed by many chemotherapeutic agents and may also arise endogenously. The mechanisms used to repair these lesions remain unclear in mammalian cells. Repair in Escherichia coli and Saccharomyces cerevisiae requires an initial unhooking step to release the tethered DNA strands. We used a panel of linear substrates containing different site-specific ICLs to characterize how structure affects ICL processing in mammalian cell extracts. We demonstrate that ICL-induced distortions affect NER-dependent and -independent processing events. The NER-dependent pathway produces dual incisions 5' to the site of the ICL as described previously [Bessho, T., et al. (1997) Mol. Cell. Biol. 17 (12), 6822-6830] but does not release the cross-link. Surprisingly, we also found that the interstrand cross-linked duplexes were unhooked in mammalian cell extracts in a manner independent of the NER pathway. Unhooking occurred identically in extracts prepared from human and rodent cells and is dependent on ATP hydrolysis and metal ions. The structure of the unhooked product was characterized and was found to contain the remnant of the cross-link. Both the NER-mediated dual 5' incisions and unhooking reactions were greatly stimulated by ICL-induced distortions, including increased local flexibility and disruption of base pairs surrounding the site of the ICL. These results suggest that in DNA not undergoing transcription or replication, distortions induced by the presence of an ICL could contribute significantly to initial cross-link recognition and processing.
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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 | 0.000 | 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 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".