Spatiotemporal coordination of reovirus peripheral core replication to perinuclear whole virus assembly
Bibliographic record
Abstract
Reoviruses coordinate their replication and assembly through intricate spatial and temporal compartmentalization within host cells. In this study, we elucidate the dynamics of mammalian orthoreovirus (reovirus) core replication and viral particle assembly. Using high-resolution immunofluorescence confocal microscopy, we tracked input cores and de novo cores, revealing that input cores initially form peripheral, OC-negative factories that migrate inward while seeding independent peripheral factories. Over time, these input factories transition into intermediate core-plus-outercapsid (OC) factories, which are essential for full virion assembly in the perinuclear region. Notably, de novo core proteins predominantly form independent peripheral factories that can merge or mix with others, resulting in interconnected networks. We further demonstrate that microtubules are dispensable for early core movement and factory formation but are crucial for the transition of mature, assembled virions into perinuclear deposits and for timely virion production. Disruption of microtubules delays full virus assembly, reducing progeny yield. Our findings reveal a complex, regulated interplay between spatial organization and cytoskeletal components during reovirus infection, providing insights into mechanisms that could be targeted for antiviral interventions.
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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".