DNA2 variant analysis supports the nuclease activity as a preferred therapeutic target
Bibliographic record
Abstract
Abstract DNA2 is a combined nuclease and helicase that processes long 5’ flaps and other structures that occur during DNA replication and repair. Current models invoke an essential function of DNA2 in processing stalled replication forks to dampen toxic recombination based restart. As an essential replication stress response factor, DNA2 has been proposed as an anti-cancer drug target with several tool compounds developed. Here we sought to model inhibited DNA2 states using dominant genetics with separation-of-function alleles to identify the optimal mechanisms for DNA2 targeting. We find that expression of DNA2 nuclease-dead alleles exert dominant effects on fitness and DNA damage repair that are dependent on its helicase and RPA binding activities. Furthermore, we find an imperfect link wherein a subset of ALT+ models are hypersensitive to the presence of DNA2-nuclease dead protein. These results were replicated with a nuclease-specific inhibitor of DNA2. Together, our data suggests that DNA2 targeting in cancer should be nuclease focused and will rely on identification of specific biomarker subsets within ALT+ or other tumor cell states.
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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) | 0.002 | 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".