Comparative Analysis of Extracellular Vesicle and Virus Co-Purified Fractions Produced by Contemporary Influenza A and B Viruses in Different Human Cell Lines
Bibliographic record
Abstract
Influenza virus is one of the most frequent causes of respiratory infection in humans. Recent studies suggest that extracellular vesicles (EVs)—small particles released by cells during influenza virus infection—can influence the immune response and viral pathogenesis. However, during viral replication, infected cells can also release EVs, which may include different subtypes. This study aimed to purify and characterize viral preparations and EVs using sequential ultracentrifugation methods. Influenza A/H1N1, A/H3N2, and B virus strains were produced in human Calu-3 and A549 cell lines. Viral supernatants then underwent a series of differential ultracentrifugation steps at 3000× g, 17,000× g, and 100,000× g. Dynamic light scattering analysis (DLS) validated size heterogeneity for all three types of EVs. Measurement of infectious virus particles for all three pellets showed virus enrichment at 17,000× g and 100,000× g. Dot blot analysis confirmed the enrichment of virus particles in these fractions and the presence of EV protein. This study demonstrates the presence of EVs in virus preparations and highlights the need for improved separation methods to characterize them better and explore their role in viral infection pathogenesis.
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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 | 0.001 | 0.001 |
| 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".