ArticlePloS one2023
Quantitative proteomic analysis of extracellular vesicles in response to baculovirus infection of a Trichoplusia ni cell line.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Exosome biogenesis in arthropods: conserved mechanisms, experimental evidence, and emerging directions.Annals of the Entomological Society of America · 2026Review
- Role of Collection Media on the Biological Activity of Extracellular Vesicles From hTERT-Immortalised Mesenchymal Stromal Cells.Journal of extracellular vesicles · 2026Article
- Interactions between extracellular vesicles and viruses: lessons learned across species and kingdoms.FEMS microbiology reviews · 2026Review
- Extracellular Vesicles in Arthropods: Biogenesis, Functions, Isolation Methods and Applications.Journal of extracellular vesicles · 2025Review
- An insect cell-derived extracellular vesicle-based gB vaccine elicits robust adaptive immune responses against Epstein-Barr virus.Science China. Life sciences · 2025Article
- Optimization of Enterovirus-like Particle Production and Purification Using Design of Experiments.Pathogens (Basel, Switzerland) · 2025Article
- Virus infection and vesicle trafficking.Frontiers in immunology · 2025Review
- Characterisation of extracellular vesicles in baculovirus infection ofJournal of extracellular biology · 2024Article
- Production of norovirus-, rotavirus-, and enterovirus-like particles in insect cells is simplified by plasmid-based expression.Scientific reports · 2024Article
- Increased efficacy of influenza virus vaccine candidate through display of recombinant neuraminidase on virus like particles.Frontiers in immunology · 2024Article
- High resolution imaging and analysis of extracellular vesicles using mass spectral imaging and machine learning.Journal of extracellular biology · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Due to its outstanding suitability to produce complex biopharmaceutical products including virus-like particles and subunit vaccines, the baculovirus/insect cell expression system has developed into a highly popular production platform in the biotechnological industry. For high productivity, virus-cell communication and an efficient spreading of the viral infection are crucial, and, in this context, extracellular vesicles (EVs) might play a significant role. EVs are small particles, utilized by cells to transfer biologically active compounds such as proteins, lipids as well as nucleic acids to recipient cells for intracellular communication. Studies in mammalian cells showed that the release of EVs is altered in response to infection with many viruses, ultimately either limiting or fostering infection spreading. In this study we isolated and characterized EVs, from both uninfected and baculovirus infected Tnms42 insect cells. Via quantitative proteomic analysis we identified more than 3000 T. ni proteins in Tnms42 cell derived EVs, of which more than 400 were significantly differentially abundant upon baculovirus infection. Subsequent gene set enrichment analysis revealed a depletion of proteins related to the extracellular matrix in EVs from infected cultures. Our findings show a significant change of EV protein cargo upon baculovirus infection, suggesting a major role of EVs as stress markers. Our study might serve in designing new tools for process monitoring and control to further improve biopharmaceutical production within the baculovirus/insect cell expression system.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.