Cell Cycle Arrest and Apoptosis Induced by Kinamycin F in Human Osteosarcoma Cells
Bibliographic record
Abstract
BACKGROUND/AIM: Kinamycin F is a bacterial metabolite which contains an unusual and potentially reactive diazo group that is known for its ability to inhibit cell growth. In this study, the potential anti-tumor activity of kinamycin F was investigated in three human osteosarcoma cell lines, MG-63, U-2 OS and HOS as an antitumor agent with a potentially novel target. MATERIALS AND METHODS: Proliferation and cell viability were measured in three human osteosarcoma cell lines by commercially available kits. We also evaluated the effects of the drug on cell cycle progression using the Muse™ Cell Analyzer. Caspase-3 activity was determined by a fluorometric EnzChek assay kit. Finally, following treatment with kinamycin F the protein levels of cyclin D3, cyclin A and cdK-2 were examined. RESULTS: /M-phase (60-65%). Kinamycin F activated caspase 3 in all the three cell lines, clearly demonstrating that the growth inhibitory effect of kinamycin F can be attributed to apoptosis induction. Finally, kinamycin F suppressed osteosarcoma cell proliferation affecting cyclin A and D3 expression. CONCLUSION: Understanding the mechanism by which kinamycin F exerts its ability to inhibit cell growth may be a step forward in the development of new therapeutic strategies for the treatment of OS.
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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) | 0.001 | 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".