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 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 | 0.001 | 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".