ArticleCell systems2026
Live-cell single-vRNP imaging identifies viral gene expression signatures that shape influenza infection heterogeneity.
Article in Cell systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Intrinsic OPTIR imaging and spectroscopy enable label-free monitoring of viral infection in living cells.Analytical and bioanalytical chemistry · 2026Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell-to-cell heterogeneity in infection outcome is a general feature of most viruses, but the underlying mechanisms are poorly understood. Here, we developed a live-cell single-molecule imaging technology to visualize infection by unmodified influenza A viruses (IAVs) with unprecedented resolution. Using this approach, we generated a detailed kinetic map of IAV infection, which identified viral ribonucleoprotein (vRNP) replication, nuclear export, and virion budding as important sources of heterogeneity. Mechanistically, we show that infection heterogeneity is caused by differential viral gene expression signatures, resulting from widespread transcriptional defects and loss of viral genome segments. For example, loss of NS, but surprisingly not polymerase subunits, severely delays replication onset, and loss of M and NS, but not HA, underlies vRNP nuclear export defects. In summary, our work identifies the origin and consequences of infection heterogeneity and provides a broadly applicable technology that allows high-resolution phenotyping of unmodified IAVs and other negative-strand RNA viruses.
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