ArticleeLife2018
Extreme heterogeneity of influenza virus infection in single cells.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
182 citing papers in PubMed, 1 synthesis or guideline pooled it, 317 citations in OpenAlex.
- Single-cell RNA sequencing offers novel perspectives in viral infection research.Frontiers in cellular and infection microbiology · 2026Pooled it
- Influenza A deletion-containing viral genome production is altered by metabolites, metabolic signaling molecules, and cyanobacterial extracts.Applied and environmental microbiology · 2026Article
- Article
- Inferring single-cell heterogeneity of bacteriophage lysis-associated life-history traits from population-scale dynamics.Science advances · 2026Article
- Single-cell heterogeneity in interferon induction potential is heritable and governed by variation in cell state.Cell systems · 2026Article
- Host-Directed Antiviral Strategies Against Influenza Viruses: Host Targets, Multi-Omics Approaches and AI-Assisted Discovery.Veterinary sciences · 2026Review
- Visualizing infection by single positive-sense RNA viruses using virus infection real-time imaging (VIRIM).Nature protocols · 2026Review
- Dissecting the host determinants of orthoflavivirus infection using QIC-seq.PLoS pathogens · 2026Article
- Secondary analysis of influenza a virus-infected cells at single-cell resolution reveals host BANF1 response to individual and combinations of detected segments.Virology journal · 2026Article
- scDEcrypter: Uncertainty-aware differential expression analysis for viral infection in scRNA-seq.bioRxiv : the preprint server for biology · 2026Article
- Intracellular interactions shape antiviral resistance outcomes in poliovirus via eco-evolutionary feedback.Nature ecology & evolution · 2026Article
- Live-cell single-vRNP imaging identifies viral gene expression signatures that shape influenza infection heterogeneity.Cell systems · 2026Article
- Interferon-β induction heterogeneity during KSHV infection is correlated to levels and activation of the transcription factors ATF2 and RelA, and not IRF3.PLoS pathogens · 2026Article
- Intrinsic OASL expression governs heterogeneity in interferon induction during influenza A virus infection.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Exonuclease ISG20 inhibits human cytomegalovirus replication by inducing an innate immune defense signature.PLoS pathogens · 2026Article
- The HIV-1 Vpr R77Q mutant alters host apoptotic gene regulation in CD4+ T cells.Frontiers in cellular and infection microbiology · 2026Article
- Cellular sensor DAP5 decodesFrontiers in immunology · 2026Article
- Single-cell heterogeneity in interferon induction potential is heritable and governed by variation in cell state.bioRxiv : the preprint server for biology · 2025Article
- Host PI3K inhibition via anti-cancer drug alpelisib influences Influenza A non-infectious particles and deletion-containing viral genomes.Cell communication and signaling : CCS · 2025Article
- Human Assembloid Model of Emergent Neurotropic Enteroviruses.bioRxiv : the preprint server for biology · 2025Article
122 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Viral infection can dramatically alter a cell's transcriptome. However, these changes have mostly been studied by bulk measurements on many cells. Here we use single-cell mRNA sequencing to examine the transcriptional consequences of influenza virus infection. We find extremely wide cell-to-cell variation in the productivity of viral transcription - viral transcripts comprise less than a percent of total mRNA in many infected cells, but a few cells derive over half their mRNA from virus. Some infected cells fail to express at least one viral gene, but this gene absence only partially explains variation in viral transcriptional load. Despite variation in viral load, the relative abundances of viral mRNAs are fairly consistent across infected cells. Activation of innate immune pathways is rare, but some cellular genes co-vary in abundance with the amount of viral mRNA. Overall, our results highlight the complexity of viral infection at the level of single cells.
Indexed as
Identifiers
What OpenQuestion holds
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.