The Effect of Varying Doses of UVC Radiation on the Viability of Human Cancer Cells
Bibliographic record
Abstract
UVC radiation has the ability to damage DNA in cells. This causes the cell to either arrest division or undergo apoptosis. In this study we observed the effects of increasing doses of UVC radiation on the division rates and viability of cells from the human cancer cell line MCF7. We hypothesized that at a certain dose the cells would no longer be able to repair DNA and apoptosis would be induced. Furthermore, we hypothesized that the division rate would decrease as the dose of UVC increased. Cells were irradiated at either, 0 mJ/cm2 (negative control), 0.31 mJ/cm2, 1.55 mJ/cm2, 4.65 mJ/cm2, 9.3 mJ/cm2, 18.6 mJ/cm2, 37.2 mJ/cm2, or 74.4 mJ/cm2. 48 hours after irradiation, a Trypan Blue viability assay was performed to determine the percentage of dead cells at each dose. To compare division rates, the total number of cells in each treatment was taken as a percentage of the total number of non- treated cells. The IC50 for apoptosis was found to be 21.25 mJ/cm2. Our results showed that the total number of cells decreased significantly between 0 mJ/cm2, and 4.65 mJ/cm2. At concentrations above 4.65 mJ/cm2, the total number of cells remained constant. Suggesting that this is the point in which cells may have stopped growing. In contrast, the percentage of dead cells did not differ between the nontreated cells and those treated with UVC doses up to 9.3 mJ/cm2, but was significantly higher at doses above 18.6 mJ/cm2. The point at which the percentage of dead cells begins to increase significantly and where division rates plateau is relatively close, thus, we infer that this the point in which cells stopped trying to repair their DNA and instead began to undergo apoptosis. As we hypothesized, at a high enough dose, the DNA in cells would become irreparable and the cells would die. Because all cells above this dose show significant death, the observation is consistent with our hypothesis. *Indicates presenter
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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 | 0.002 | 0.001 |
| 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 | 0.001 |
| 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".