Development of glioblastoma cell lines expressing red fluorescence for non-invasive live imaging of intracranial tumors.
Bibliographic record
Abstract
UNLABELLED: Glioblastoma (GBM) cell lines expressing red fluorescent proteins were evaluated as a tool for non-invasive imaging of orthotopic tumors. MATERIALS AND METHODS: mKate2- and mCherry-transduced U251MG GBM lines were sorted by flow cytometry. The growth rates and drug sensitivity of the resulting cell lines were compared to those of the parental line. Following orthotopic implantation, mKate2-expressing cells were detected using multispectral imaging. RESULTS: Flow cytometry-sorted fluorescent populations exhibiting growth curves that were comparable to those of the parental line were selected. mKate2-expressing cells were inoculated orthotopically and formed tumors which were visualized non-invasively, allowing monitoring of tumor growth over time and the assessment of tumor response to temozolomide drug treatment. CONCLUSION: The strategy reported here led to the successful development of GBM models expressing mKate2 or mCherry. The fluorescence signal intensity measured in the brain of live animals correlates with tumor size, thus providing a method to assess tumor progression and response to treatment.
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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".