Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Viruses with RNA Genomes01:29

Viruses with RNA Genomes

148
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...
148
Size and Structure of Viral Genomes01:26

Size and Structure of Viral Genomes

171
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...
171

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Benchmarking large language models for cell-free RNA diagnostic biomarker discovery.

Nature communications·2026
Same author

Gene regulatory networks define human airway epithelial cell types and their distinct responses to type I interferon.

bioRxiv : the preprint server for biology·2026
Same author

Making ends meet: Specialized translation of viral mRNAs lacking canonical features.

Virology·2026
Same author

Tissue-specific tolerance mechanisms and lymph node co-drainage shape T cell immunity in the upper digestive system and pancreatic cancer progression.

Cell reports·2026
Same author

The 15th international dsRNA virus symposium, Porto, Portugal, November 3-7, 2025.

Virus research·2026
Same author

Smoothie: efficient inference and integration of spatial co-expression networks from denoised spatial transcriptomics data.

Communications biology·2026
Same journal

Dengue Virus Evasion of Host Innate Immunity.

Annual review of virology·2026
Same journal

Geminivirus-Induced Reprogramming of Plant Defense Mechanisms: Molecular Insights and Research Frontiers.

Annual review of virology·2026
Same journal

The Evolution of Dengue Virus in India.

Annual review of virology·2026
Same journal

Studying the Deep Evolution of Viruses in the Era of Artificial Intelligence Structure Prediction.

Annual review of virology·2026
Same journal

Viral Pleomorphism: How Virion Structure Guides Infection and Adaptation.

Annual review of virology·2026
Same journal

Targeting Herpesvirus Recombination Proteins for Antiviral Therapy.

Annual review of virology·2026
See all related articles

Related Experiment Video

Updated: Sep 19, 2025

Vaccinia Virus Infection & Temporal Analysis of Virus Gene Expression: Part 3
07:35

Vaccinia Virus Infection & Temporal Analysis of Virus Gene Expression: Part 3

Published on: April 13, 2009

8.3K

Spatial Transcriptomics to Study Virus-Host Interactions.

Chase Holdener1,2, Shaowen Jiang1,2, Danica M Sutherland3,4

  • 1Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA;

Annual Review of Virology
|June 16, 2025
PubMed
Summary
This summary is machine-generated.

Spatial transcriptomics offers a powerful new approach to understanding viral diseases in plants, animals, and humans. This technology helps identify key viral and host factors influencing infection outcomes and developing novel antiviral strategies.

Keywords:
RNA sequencingspatial transcriptomicsviral immunologyviral pathogenesisviral tropism

More Related Videos

Vaccinia Virus Infection & Temporal Analysis of Virus Gene Expression: Part 2
10:55

Vaccinia Virus Infection & Temporal Analysis of Virus Gene Expression: Part 2

Published on: April 10, 2009

8.1K
High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
14:58

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

4.4K

Related Experiment Videos

Last Updated: Sep 19, 2025

Vaccinia Virus Infection & Temporal Analysis of Virus Gene Expression: Part 3
07:35

Vaccinia Virus Infection & Temporal Analysis of Virus Gene Expression: Part 3

Published on: April 13, 2009

8.3K
Vaccinia Virus Infection & Temporal Analysis of Virus Gene Expression: Part 2
10:55

Vaccinia Virus Infection & Temporal Analysis of Virus Gene Expression: Part 2

Published on: April 10, 2009

8.1K
High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
14:58

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

4.4K

Area of Science:

  • Virology
  • Molecular Biology
  • Genomics

Background:

  • Viral diseases pose significant threats to plants, animals, and humans, causing substantial morbidity and mortality.
  • Understanding the mechanisms of viral pathogenesis and host-pathogen interactions is crucial for developing effective treatments.
  • Current research requires advanced tools to dissect the complex interplay between viruses and their hosts at a cellular level.

Purpose of the Study:

  • To review the potential of spatial transcriptomics in advancing the study of viral pathogenesis.
  • To discuss the technical aspects and implementation strategies of spatial transcriptomics for virology research.
  • To highlight how spatial transcriptomics can illuminate viral disease mechanisms and inform therapeutic development.

Main Methods:

  • This review synthesizes current literature on spatial transcriptomics technologies.
  • It examines applications of these technologies in understanding viral infection dynamics.
  • The review also covers practical considerations for researchers implementing spatial transcriptomics.

Main Results:

  • Spatial transcriptomics enables high-resolution mapping of gene expression within infected tissues.
  • It allows for the identification of specific cell types and microenvironments critical for viral spread and disease progression.
  • This technology can reveal novel viral and host factors influencing pathogenesis.

Conclusions:

  • Spatial transcriptomics represents a transformative tool for dissecting viral pathogenesis.
  • It offers unprecedented insights into host-pathogen interactions within their native spatial context.
  • The application of spatial transcriptomics is expected to accelerate the development of new antiviral therapies and immunity strategies.