Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

RNA Interference

RNA Interference

RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...

Experimental RNAi

Experimental RNAi

RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...

RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

You might also read

Related Articles

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

Sort by

Same author

PhageMind: generalized strain-level phage host range prediction via meta-learning.

Bioinformatics (Oxford, England)·2026

Same author

Identification of GRP78 as a novel host factor that facilitates zoonotic porcine deltacoronavirus internalization and replication via clathrin-mediated endocytosis.

Journal of virology·2026

Same author

Empowering One Health with metagenomics.

One health outlook·2026

Same author

Addressing the zoonotic threat of merbecoviruses.

Nature microbiology·2026

Same author

Mapping the global distribution and spread of the <i>Plasmodium vivax</i>-associated virus MaRNAV-1.

Virus evolution·2026

Same author

Linkage-aware inference of fitness from short-read time-series genomic data.

Virus evolution·2026

Same journal

Evolution of CTCF binding sites in the human genome.

Molecular biology and evolution·2026

Same journal

Recent plastid replacement in Karlodinium ballantinum (Kareniaceae, Dinoflagellata) challenges the paradigms of endosymbiotic gene transfer.

Molecular biology and evolution·2026

Same journal

Segmentally Duplicated Regulatory Elements Undergo Human-Specific Rewiring.

Molecular biology and evolution·2026

Same journal

The life history of recessive deleterious alleles as seen through the eyes of a honey bee (Apis mellifera).

Molecular biology and evolution·2026

Same journal

Severe bottleneck of ancient Homo populations: Insights from computational modeling and relevant fossil evidence.

Molecular biology and evolution·2026

Same journal

Population Epigenetics: Deciphering DNA Methylation Diversity and its Implications for Health, Disease, and Evolution.

Molecular biology and evolution·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 11, 2025

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Published on: July 2, 2016

VirID: Beyond Virus Discovery-An Integrated Platform for Comprehensive RNA Virus Characterization.

Ziyue Yang^1,2,3, Yongtao Shan^1,2,3, Xue Liu^1,2,3

¹State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.

Molecular Biology and Evolution

|September 27, 2024

Summary

This summary is machine-generated.

VirID accurately discovers and characterizes RNA viruses from metagenomic data, improving upon existing tools by reducing false positives and identifying virus-host associations for better public health surveillance.

Keywords:

RNA virus emerging pathogens phylogenetic analysis virome virus discovery

More Related Videos

Combining Analysis of DNA in a Crude Virion Extraction with the Analysis of RNA from Infected Leaves to Discover New Virus Genomes

Combining Analysis of DNA in a Crude Virion Extraction with the Analysis of RNA from Infected Leaves to Discover New Virus Genomes

Published on: July 27, 2018

High-throughput Screening for Broad-spectrum Chemical Inhibitors of RNA Viruses

High-throughput Screening for Broad-spectrum Chemical Inhibitors of RNA Viruses

Published on: May 5, 2014

Related Experiment Videos

Last Updated: Jun 11, 2025

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Published on: July 2, 2016

Combining Analysis of DNA in a Crude Virion Extraction with the Analysis of RNA from Infected Leaves to Discover New Virus Genomes

Combining Analysis of DNA in a Crude Virion Extraction with the Analysis of RNA from Infected Leaves to Discover New Virus Genomes

Published on: July 27, 2018

High-throughput Screening for Broad-spectrum Chemical Inhibitors of RNA Viruses

High-throughput Screening for Broad-spectrum Chemical Inhibitors of RNA Viruses

Published on: May 5, 2014

Area of Science:

Virology
Bioinformatics
Computational Biology

Background:

RNA viruses display significant diversity and pose risks to public health and agriculture.
Current bioinformatics tools for viral discovery often produce inaccurate results, including false positives and misclassifications.
Existing methods struggle to identify virus-host associations, hindering the assessment of potential threats.

Purpose of the Study:

To develop VirID, a novel software tool for accurate RNA virus discovery and characterization from metagenomic data.
To enhance the identification of RNA viruses, their diversity, and their associations with hosts.
To provide a robust solution for pathogen surveillance and early warning systems.

Main Methods:

Development of VirID, a software tool utilizing an RNA-dependent RNA polymerase database.
Implementation of a workflow for RNA virus discovery, phylogenetic analysis, and characterization.
Benchmarking on simulated datasets and evaluation on real-world metagenomic samples.

Main Results:

VirID demonstrated high accuracy in viral profiling and richness estimation on simulated data.
The tool successfully identified diverse RNA viruses in real-world samples.
VirID provided accurate estimations of viral genetic diversity, classification, and host associations (human, animal, plant).

Conclusions:

VirID offers a robust and accurate solution for RNA virus discovery and characterization from metagenomic data.
The software improves upon existing tools by providing reliable identification and host association insights.
VirID is a valuable resource for virological research, pathogen surveillance, and infectious disease outbreak detection.