TRAIL-engineered bone marrow-derived mesenchymal stem cells: TRAIL expression and cytotoxic effects on C6 glioma cells.
Bibliographic record
Abstract
BACKGROUND: TNF-related apoptosis-inducing ligand (TRAIL) is considered as a tumor cell-specific cytotoxic agent. Through the aid of mesenchymal stem cells (MSCs), TRAIL is capable of inducing apoptosis of tumor cells in tumor sites. The present study was performed to investigate the cytotoxic effects of TRAIL-engineered MSCs on glioblastoma cells (C6) in vitro. MATERIALS AND METHODS: An expression vector of secreting form of TRAIL was used to engineer MSCs. The cytotoxic effects of TRAIL-transfected MSCs on C6 cells were invstigated using the MTT method and Hochest33258 staining after co-culture of the two cell types. RESULTS: TRAIL and control plasmid transfection of MSCs showed no significant effect on MSC's viability (p>0.05). A significant inhibition of C6 cells was observed when they were co-cultured with TRAIL-engineered MSCs (63.7%±0.12, p<0.05). CONCLUSION: Mesenchymal stem cells were very well tolerant to the transfection of TRAIL-bearing vectors. The cytotoxic effects of TRAIL-engineered MSCs on C6 cells indicates the therapeutic potential of this strategy for treatment of glioblastoma patients.
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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".