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Updated: Mar 7, 2026

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

Resolving host-pathogen interactions by dual RNA-seq.

Alexander J Westermann¹, Lars Barquist¹, Jörg Vogel^1,2

¹RNA Biology Group, Institute for Molecular Infection Biology, University of Würzburg, Würzburg, Germany.

|February 17, 2017

Summary

This summary is machine-generated.

Dual RNA sequencing (RNA-seq) simultaneously analyzes host and pathogen transcripts during infection. This powerful technique reveals molecular changes and virulence factors, advancing our understanding of bacterial infections.

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Area of Science:

Microbiology
Genomics
Molecular Biology

Background:

Transcriptome analysis is crucial for understanding cellular states, including disease.
Previous transcriptomic studies were limited to analyzing either host or pathogen, not both.
High-throughput RNA sequencing now enables simultaneous analysis of both host and pathogen transcripts.

Purpose of the Study:

To review the advancements and applications of dual RNA-sequencing (RNA-seq).
To provide guidelines for designing future dual RNA-seq studies.
To discuss prospective applications of dual RNA-seq in infection research.

Main Methods:

Dual RNA-seq captures all coding and noncoding transcripts from both host and pathogen.
Application of dual RNA-seq across various bacterial infection models.
Analysis of transcriptomic data to understand host-pathogen interactions.

Main Results:

Dual RNA-seq provides a comprehensive view of host and pathogen physiological changes during infection.
The technique has uncovered small noncoding RNAs associated with bacterial virulence.
Revealed previously hidden molecular phenotypes in infection models.

Conclusions:

Dual RNA-seq is a transformative technique for studying host-pathogen dynamics.
Established guidelines will facilitate the design and execution of future studies.
Prospective applications promise deeper insights into infectious diseases and novel therapeutic targets.