ReviewFrontiers in cellular and infection microbiology2025
Cell line bias in virus research: implications for viral propagation and biological interpretation.
Review in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Repurposing FDA-Approved Drugs as Potential Inhibitors of Feline Infectious Peritonitis Virus 3CLACS pharmacology & translational science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell lines are essential tools in virology for propagating viruses for characterization studies. However, reliance on a few historically popular lines-such as Vero, BHK-21, and MDCK-can introduce bias and obscure important aspects of viral biology, such as entry mechanisms and replication dynamics. A review of over 6,000 publications revealed that a small number of cell lines are used disproportionately, often due to historical precedence and general permissiveness for viral infection. Gene expression analysis showed that while these lines are enriched for pro-viral process genes, many underutilized cell lines from diverse tissue types also exhibit similar profiles. This review calls for a more strategic, molecularly informed approach to cell line selection, including the development of molecular databases for non-human cell lines, identification of virologically relevant traits, and broader use of biologically diverse panels. Such a data-driven strategy is especially vital for studying emerging and zoonotic viruses, where accurate modeling of host-virus interactions is important. Expanding and refining cell line use will improve reproducibility and yield more accurate insights into viral pathogenesis.
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Registered trials
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