Correlation between interferon sensitivity of reovirus isolates and ability to discriminate between normal and Ras-transformed cells
Bibliographic record
Abstract
Mammalian reoviruses exhibit a propensity to replicate in transformed cells. It is currently believed that the interferon-inducible RNA-dependent protein kinase (PKR), an intracellular host-cell resistance factor that is inhibited by an activated Ras-dependent pathway in transformed cells, is responsible for this discrimination. In the present study, reovirus isolates differing in their sensitivity to interferon were obtained by chemical mutagenesis, and examined for their replicative properties in parental and Ras-transformed mouse NIH-3T3 cells. It was observed that most isolates can bypass resistance mechanisms of parental cells at high m.o.i., and that there is a correlation between the ability to discriminate between transformed and parental cells, and interferon sensitivity. Most interestingly, an interferon-hypersensitive mutant virus was more dependent on Ras activation than any other viral isolate. Altogether, this suggests that optimal reovirus isolates could be selected to attack tumour cells depending on the nature of the alterations in interferon-inducible pathways found in these cells.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".