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RNA viruses are categorized into positive-strand, negative-strand, or double-stranded groups based on their genomic structure and replication mechanisms. This classification dictates how they exploit host cellular machinery for protein synthesis and replication. Some RNA viruses also utilize reverse transcription as part of their life cycle, further diversifying their replication strategies.Positive-Strand RNA VirusesPositive-strand RNA viruses have genomes that function directly as messenger...
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Viral genomes exhibit remarkable diversity in size, structure, and composition, influencing their replication strategies and interactions with host cells. These genomes consist of either DNA or RNA and may be linear or circular. Additionally, they can be single-stranded or double-stranded, with each configuration affecting how the virus propagates within a host. RNA viruses, for instance, generally have smaller genomes than DNA viruses, a factor that contributes to their high mutation rates and...
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Related Experiment Video

Updated: Oct 22, 2025

Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'
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Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'

Published on: May 26, 2013

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Virus Infection Variability by Single-Cell Profiling.

Maarit Suomalainen1, Urs F Greber1

  • 1Department of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland.

Viruses
|August 28, 2021
PubMed
Summary
This summary is machine-generated.

Cell-to-cell variability in viral infections is now understood using advanced single-cell technologies. These methods reveal diverse infection dynamics and host responses, improving our understanding of disease development.

Keywords:
RNAseqassemblycell statecell-to-cell variabilityclick chemistryegressnon-genetic variabilitypersistence and lysisreplicationsingle transcript fluorescence in situ hybridizationsingle-cell infectiontranscriptionvirus entryvirus imaging

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Single-cell Quantitation of mRNA and Surface Protein Expression in Simian Immunodeficiency Virus-infected CD4+ T Cells Isolated from Rhesus macaques
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Area of Science:

  • Virology
  • Immunology
  • Genomics

Background:

  • Cell-to-cell variability in infection impacts disease onset and progression.
  • Mechanisms underlying this variability have been historically challenging to study.
  • Recent technological advancements enable detailed investigation at the single-cell level.

Purpose of the Study:

  • To review how single-cell technologies dissect viral infection variability.
  • To highlight the application of these methods across various viral infections.
  • To introduce the concept of "cell state" in infection variability.

Main Methods:

  • Single-cell RNA sequencing (scRNA-seq)
  • Single-molecule RNA-fluorescence in situ hybridization (scRNA-FISH)
  • Copper(I)-catalyzed azide-alkyne cycloaddition (click chemistry) with viral genomes
  • High-throughput single-cell measurements of chromatin accessibility and mRNA

Main Results:

  • Variable onsets of adenoviral gene expression were revealed using scRNA-FISH and click chemistry.
  • Lytic and nonlytic adenovirus transmissions were identified through live-cell plaque assays.
  • Transcriptional variability was uncovered in infections by coxsackie, influenza, dengue, zika, and herpes simplex viruses.
  • Host interferon response was shown to modulate influenza and sendai virus infections.

Conclusions:

  • Single-cell technologies provide unprecedented resolution into viral infection dynamics.
  • Understanding "cell state" is crucial for dissecting infection variability.
  • Future high-throughput single-cell analyses will further elucidate viral pathogenesis and host responses.