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Related Experiment Video

Updated: May 6, 2026

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

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

Published on: May 26, 2013

DVsc: An Automated Framework for Efficiently Detecting Viral Infection from Single-cell Transcriptomics Data.

Fei Leng¹, Song Mei¹, Xiaolin Zhou²

¹Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute; MOE Key Laboratory of Major Diseases in Children; Rare Disease Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China.

Genomics, Proteomics & Bioinformatics

|August 31, 2024

Summary

This summary is machine-generated.

A new tool, DVsc, accurately detects viral RNA in single-cell sequencing data from clinical samples. This framework aids in understanding viral infections and developing targeted antiviral therapies.

Keywords:

Bulk RNA sequencing Cellular transcriptome Quantitative analysis Single-cell RNA sequencing Viral infection Viral transcriptome

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Area of Science:

Virology
Bioinformatics
Genomics

Background:

Single-cell RNA sequencing (scRNA-seq) offers insights into cellular heterogeneity and viral infection dynamics.
Limited research exists on viral RNA detection in clinical samples using scRNA-seq, lacking specific computational tools.

Purpose of the Study:

To introduce DVsc, an open-source computational framework for precise quantitative analysis of viral infections from single-cell transcriptomics data.
To address the need for efficient viral read detection in scRNA-seq data.

Main Methods:

DVsc was developed as an open-source bioinformatics pipeline.
The framework processes FASTQ formatted input and is compatible with various single-cell and bulk RNA sequencing platforms.

Main Results:

DVsc demonstrated high accuracy in detecting viral infections across diverse cell types in approximately 200 clinical samples.
The tool successfully identified over 10 different viruses, showcasing its broad applicability.

Conclusions:

DVsc provides a crucial tool for identifying the impact of viral infections on host cells and diseases.
This framework can facilitate the design of targeted antiviral therapies and treatment efficacy evaluation.