Exploring Host Factors that Impact Reovirus Replication, Dissemination, and Reovirus-Induced Cell Death in Cancer Versus Normal Cells in Culture
Bibliographic record
Abstract
Oncolytic viruses, such as reovirus, offer a promising approach to cancer treatment. Concurrently, oncolytic viruses provide a valuable tool for deciphering unique attributes of cancer cells that support superior virus replication, cell death, or virus dissemination. Through our studies on various cancer cell lines, as well as isogenic cells with and without transformation by oncogenic Ras, we have identified at least four steps of virus replication that can be augmented in transformed cells. Ras transformation can support efficient reovirus uncoating during entry, production of progeny with high infectious capacity, and reovirus-induced apoptosis. Furthermore, Ras transformation also precludes interferon production following reovirus infection, permitting enhanced cell-to-cell virus spread. Methods that measure the efficiency of reovirus replication and dissemination described in this chapter can be used in combination with assorted cell culture systems to better understand the host factors that regulate reovirus oncolysis.
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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 | 0.001 | 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".