Sensitivity of nucleotide excision repair-deficient human cells to ionizing radiation and cyclophosphamide.
Bibliographic record
Abstract
Nucleotide excision repair (NER)-deficient rodent and human cells (such as those derived from patients with xeroderma pigmentosum, XP) are hypersensitive to UV light. Some of these cell lines, specifically certain rodent mutants with severe defects in the ERCC1 and XPF genes, are dramatically sensitive to crosslinking agents such as phosphoramide mustard (PM). These crosslink-sensitive rodent mutants also exhibit sensitization to gamma-rays under hypoxic (but not under aerated) conditions. Like their rodent counterparts, human XP cells are highly sensitive to UV light; however, none of the human XP lines, even XPF, displays extreme hypersensitivity to crosslinking agents. Studying XP cells, therefore, allows us to further assess the extent to which the phenotypic characteristic of hypoxia-specific radiosensitization of mammalian cells tracks with defects in crosslink repair (as opposed to NER). The sensitivity to PM and gamma-rays of normal human fibroblasts and human XP fibroblasts from two complementation groups, XPA and XPF, was assessed using a clonogenic survival assay. Compared with normal cells, XPA cells were not appreciably hypersensitive to PM or to gamma-rays under either aerated or hypoxic conditions. XPF cells were modestly (approximately 1.75-fold) sensitive to PM but showed no significant radiosensitization under either aerated or hypoxic conditions. Thus, although the phenotype of human XPF cells is quite different from that of "severe" rodent XPF mutants such as UV41, the characteristic of hypoxia-specific radiosensitization consistently tracks with extreme hypersensitivity to crosslinking agents and is separable from UV sensitivity (and thus from defects in NER).
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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) | 0.003 | 0.001 |
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".