ReviewViruses2021
Virus Infection Variability by Single-Cell Profiling.
Review in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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
35 citing papers in PubMed, 49 citations in OpenAlex.
- Detailed single-cell mapping of the transcriptional response to a virus infection driven by copy-back viral genomes.PLoS pathogens · 2026Article
- Detailed single-cell mapping of the transcriptional response to a virus infection driven by copy-back viral genomes.bioRxiv : the preprint server for biology · 2026Article
- Molecular mechanisms of co-infections.EMBO reports · 2025Review
- Clicking viruses-with chemistry toward mechanisms in infection.Journal of virology · 2025Review
- Direct relationship between protein expression and progeny yield of herpes simplex virus 1.mBio · 2025Article
- Visualizing the transcription and replication of influenza A viral RNAs in cells by multiple direct RNA padlock probing and in situ sequencing (mudRapp-seq).Nucleic acids research · 2025Article
- Activated blood-derived human primary T cells support replication of HAdV C5 and virus transmission to polarized human primary epithelial cells.Journal of virology · 2025Article
- Predicting viral host codon fitness and path shifting through tree-based learning on codon usage biases and genomic characteristics.Scientific reports · 2025Article
- Review
- The Cell Biologist Potential of Cytomegalovirus to Solve Biogenesis and Maintenance of the Membrane Recycling System.Biomedicines · 2025Article
- Investigating the Impact of Host Factors on Vaccinia Virus Infection Through Single-Cell Analysis via Flow Cytometry.Methods in molecular biology (Clifton, N.J.) · 2025Article
- High-Throughput Single-Cell Analysis of Vaccinia Virus Infection.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Single-cell RNA sequencing reveals the diversity of the immunological landscape response to genital herpes.Virologica Sinica · 2024Article
- Article
- Distinct negative-sense RNA viruses induce a common set of transcripts encoding proteins forming an extensive network.Journal of virology · 2024Article
- Single-cell analysis of VACV infection reveals pathogen-driven timing of early and late phases and host-limited dynamics of virus production.PLoS pathogens · 2024Article
- All the single cells: if you like it then you should put some virus on it.Journal of virology · 2024Review
- A versatile automated pipeline for quantifying virus infectivity by label-free light microscopy and artificial intelligence.Nature communications · 2024Article
- Understanding the Neurotrophic Virus Mechanisms and Their Potential Effect on Systemic Lupus Erythematosus Development.Brain sciences · 2024Review
- SNX27:Retromer:ESCPE-1-mediated early endosomal tubulation impacts cytomegalovirus replication.Frontiers in cellular and infection microbiology · 2024Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell-to-cell variability of infection has long been known, yet it has remained one of the least understood phenomena in infection research. It impacts on disease onset and development, yet only recently underlying mechanisms have been studied in clonal cell cultures by single-virion immunofluorescence microscopy and flow cytometry. In this review, we showcase how single-cell RNA sequencing (scRNA-seq), single-molecule RNA-fluorescence in situ hybridization (FISH), and copper(I)-catalyzed azide-alkyne cycloaddition (click) with alkynyl-tagged viral genomes dissect infection variability in human and mouse cells. We show how the combined use of scRNA-FISH and click-chemistry reveals highly variable onsets of adenoviral gene expression, and how single live cell plaques reveal lytic and nonlytic adenovirus transmissions. The review highlights how scRNA-seq profiling and scRNA-FISH of coxsackie, influenza, dengue, zika, and herpes simplex virus infections uncover transcriptional variability, and how the host interferon response tunes influenza and sendai virus infections. We introduce the concept of "cell state" in infection variability, and conclude with advances by single-cell simultaneous measurements of chromatin accessibility and mRNA counts at high-throughput. Such technology will further dissect the sequence of events in virus infection and pathology, and better characterize the genetic and genomic stability of viruses, cell autonomous innate immune responses, and mechanisms of tissue injury.
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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.