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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...

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Updated: Oct 25, 2025

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Published on: July 2, 2016

DsRNA Sequencing for RNA Virus Surveillance Using Human Clinical Samples.

Takuma Izumi^1,2, Yuhei Morioka¹, Syun-Ichi Urayama³

¹Laboratory of Virus Control, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan.

|August 10, 2021

Summary

This summary is machine-generated.

Researchers developed a new method for efficiently detecting RNA viruses in human samples. This technique improves upon existing methods for identifying novel viruses and enhances viral surveillance in clinical settings.

Keywords:

RNA sequencing RNA virus dsRNA liver transplantation

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Last Updated: Oct 25, 2025

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

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Published on: July 2, 2016

High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR

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Amplifying and Quantifying HIV-1 RNA in HIV Infected Individuals with Viral Loads Below the Limit of Detection by Standard Clinical Assays

Amplifying and Quantifying HIV-1 RNA in HIV Infected Individuals with Viral Loads Below the Limit of Detection by Standard Clinical Assays

Published on: September 26, 2011

Area of Science:

Virology
Molecular Biology
Genomics

Background:

Numerous pathogenic viruses remain unidentified, despite their association with various diseases.
Next-generation sequencing enables viral metagenomics, but efficient RNA virus detection in clinical samples is lacking.

Purpose of the Study:

To establish an efficient method for detecting RNA viruses in human clinical samples.
To compare the new method's efficiency against conventional techniques.

Main Methods:

Development of a novel RNA virus detection method for human clinical samples.
Comparative analysis using tissue samples from 57 liver transplant recipients.
Validation against conventional detection methods.

Main Results:

The new method demonstrated a higher viral read ratio in human clinical samples compared to conventional methods.
Successfully identified viral RNA in liver tissues infected with Hepatitis C Virus.
The technique proved effective in detecting intracellular RNA viruses.

Conclusions:

The developed method offers an efficient approach for intracellular RNA virus detection in human clinical samples.
This technique is a valuable tool for RNA virus surveillance and the discovery of novel viruses associated with diseases.