Induction of single- and double-strand breaks in plasmid DNA by 100–1500 eV electrons
Bibliographic record
Abstract
PURPOSE: To investigate the induction of DNA strand breaks by electrons with energies ranging from 0.1 to 1.5 keV. MATERIALS AND METHODS: Dry supercoiled plasmid DNA was irradiated with electrons of energies ranging from 0.1 to 1.5 keV and the results were compared with those obtained by gamma-irradiation of the same plasmid in solution. For electron irradiation, the plasmid was deposited on a gold substrate under a controlled atmosphere to minimize contamination of the DNA film. Electron bombardments were performed under ultra-high vacuum conditions (UHV 10(-9) torr). DNA damage was detected by gel electrophoresis followed by quantitation of the DNA bands by fluorescence or by hybridization with a radioactive probe. RESULTS: Electrons with energies from 0.1 to 1.5 keV induced single, double and multiple double-strand breaks in supercoiled plasmid DNA. For equal doses, we observed a marked increase in the efficiency of induction of double- and multiple-strand breaks in supercoiled DNA as a function of electron energy. In contrast to gamma-irradiation, the formation of small DNA fragments by electrons did not seem to be related to the production of the linear form of the plasmid. CONCLUSIONS: Electrons within the energy; range of the secondary electrons generated by high-energy ionizing radiation induce single, double and multiple double-strand breaks in DNA. Problems associated with low-energy electron irradiation experiments and dose calculations in thin films are also discussed.
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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".