Bioinformatics-Guided Discovery of miRNAs Involved in Apoptosis Modulated by Parthenolide Combined with Vincristine in The NALM6 Cell Line.
Bibliographic record
Abstract
OBJECTIVE: , parthenolide, is a potential anticancer agent that can modulate the expression of miRNAs and induce apoptosis. The objective of this study was to investigate the effect of parthenolide in combination with vincristine and alone on the apoptosis rate and expression of miR-125b-5p, miR-181b-5p, and miR-17-5p in the NALM6 cell line. MATERIALS AND METHODS: In this experimental study, cell viability and metabolic activity were determined through MTT assay and PI staining. Flow cytometry was applied to evaluate the rate of apoptosis. The expression of miRNAs was assessed using real-time polymerase chain reaction. Bioinformatic analyses, including Cytoscape, RNAhybrid, and signaling pathway analysis were employed to investigate the association of miR-17-5p, miR-181b-5p and miR-125b- 5p with apoptosis. Further, molecular docking served to validate the modulation of these miRNAs by parthenolide and vincristine treatment. RESULTS: The MTT assay indicated that 7.7 μM of parthenolide decreased the metabolic activity to 50% after 48 hours. PI staining analysis indicated that at concentrations below the half maximal inhibitory concentration, parthenolide caused 50% cell death. Flow cytometric analysis indicated that parthenolide (1.925 μM) in combination with vincristine (1.2 nM) induced apoptosis in 83.2% of the cells. Real-time quantitative reverse transcription polymerase chain reaction (qRTPCR) analysis showed significant changes in the expression levels of miR-17-5p, miR-125b-5p, and miR-181b-5p. Moreover, the combination therapy downregulated the expression of miRNAs significantly. This was consistent with our bioinformatic analysis demonstrating that the studied miRNAs are regulators of apoptosis. Finally, molecular docking validated the modulation of the miRNAs by parthenolide and vincristine. CONCLUSION: Parthenolide in combination with vincristine triggers apoptosis at a high rate in the NALM6 cell line. Moreover, this combination therapy can decrease the expression of miR-17-5p, miR-181b-5p, and miR-125b-5p.
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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 | 0.000 | 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) | 0.000 | 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".