Senescence or apoptosis? The choice bovine fibroblasts make in the presence of increasing concentrations of extracellular H2O2
Bibliographic record
Abstract
Reactive oxygen species (ROS) are potent inducers of oxidative damage and have been linked to the regulation of specific cellular functions, including apoptosis. In response to specific signals, mitochondrial H2O2 can trigger mitochondrial swelling and apoptosis; however, as a protective measure, cells can also enter a state of senescence. The purpose of this study was to determine the effects of extracellular H2O2 on cellular senescence induction via the mitochondrial ROS-signaling pathway. Bovine fibroblasts were synchronized at the G1/S phase using a thymidine-nocodazole mitotic block and treated for two hours with H2O2 concentrations: 25μM, 50μM, 100μM, 150μM and 200μM. Post H2O2 treatment, the number of floating dead cells was quantified using a hemocytometer. Cells sticking to the bottom of the culture dish were then washed with fresh media and cultured for 24 hours at 39oC at 5% CO2 under humidified conditions and assayed for senescent cell quantification using SA--galactosidase staining assay. Preliminary data indicates that the number of dead cells increased with increasing H2O2 dosage, with the maximum number of dead cells at 200m in both cell lines. Along with the increase in number of dead cells, the number of senescent cells decreased up to 50M, and no senescent cells were detected at 50m concentrations. This indicates that cells are sensitive to rising levels of H2O2 and make a choice to enter the senescent or apoptotic pathway based on the oxidative insult they face. Future studies would focus on the molecular mechanism of the mitochondrial-ROS signaling pathway.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".