ReviewPLoS pathogens2024
The use of single-cell RNA-seq to study heterogeneity at varying levels of virus-host interactions.
Review in PLoS pathogens, 2024. 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
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
11 citing papers in PubMed, 15 citations in OpenAlex.
- Porcine epidemic diarrhea virus infection promotes Peyer's patch immune induction and epithelial defense via single-cell transcriptional reprogramming.Microbiology spectrum · 2026Article
- A scalable, low-cost, sample hashing workflow for multiomic single-cell analysis using the Seq-Well SNature protocols · 2026Review
- Detailed single-cell mapping of the transcriptional response to a virus infection driven by copy-back viral genomes.PLoS pathogens · 2026Article
- scDEcrypter: Uncertainty-aware differential expression analysis for viral infection in scRNA-seq.bioRxiv : the preprint server for biology · 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
- Heterogeneity in an adeno-associated virus transfection-based production process limits the production efficiency.Scientific reports · 2025Article
- A novel ZIKV-targeted scRNA-seq method for precise quantification of ZIKV RNA.Journal of virology · 2025Article
- Current insight into HIV-1 persistence from single-cell transcriptome profiling in acutely treated cohorts of infection.Current opinion in HIV and AIDS · 2025Review
- 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
- A general and biomedical perspective of viral quasispecies.RNA (New York, N.Y.) · 2025Review
- Reply to Qu et al., "Quasispecies are constantly selected through virus-encoded intracellular reproductive population bottlenecking".Journal of virology · 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
Abstract
The outcome of viral infection depends on the diversity of the infecting viral population and the heterogeneity of the cell population that is infected. Until almost a decade ago, the study of these dynamic processes during viral infection was challenging and limited to certain targeted measurements. Presently, with the use of single-cell sequencing technology, the complex interface defined by the interactions of cells with infecting virus can now be studied across the breadth of the transcriptome in thousands of individual cells simultaneously. In this review, we will describe the use of single-cell RNA sequencing (scRNA-seq) to study the heterogeneity of viral infections, ranging from individual virions to the immune response between infected individuals. In addition, we highlight certain key experimental limitations and methodological decisions that are critical to analyzing scRNA-seq data at each scale.
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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.