2.50
Hdl Handle:
http://hdl.handle.net/10033/621023
Title:
Resolving host-pathogen interactions by dual RNA-seq.
Authors:
Westermann, Alexander J; Barquist, Lars; Vogel, Jörg ( 0000-0003-2220-1404 )
Abstract:
The transcriptome is a powerful proxy for the physiological state of a cell, healthy or diseased. As a result, transcriptome analysis has become a key tool in understanding the molecular changes that accompany bacterial infections of eukaryotic cells. Until recently, such transcriptomic studies have been technically limited to analyzing mRNA expression changes in either the bacterial pathogen or the infected eukaryotic host cell. However, the increasing sensitivity of high-throughput RNA sequencing now enables "dual RNA-seq" studies, simultaneously capturing all classes of coding and noncoding transcripts in both the pathogen and the host. In the five years since the concept of dual RNA-seq was introduced, the technique has been applied to a range of infection models. This has not only led to a better understanding of the physiological changes in pathogen and host during the course of an infection but has also revealed hidden molecular phenotypes of virulence-associated small noncoding RNAs that were not visible in standard infection assays. Here, we use the knowledge gained from these recent studies to suggest experimental and computational guidelines for the design of future dual RNA-seq studies. We conclude this review by discussing prospective applications of the technique.
Affiliation:
Helmholtz-Institut für RNA-basierte Infektionsforschung, Josef-Schneider-Straße 2, 97080 Würzburg, Germany.
Citation:
Resolving host-pathogen interactions by dual RNA-seq. 2017, 13 (2):e1006033 PLoS Pathog.
Journal:
PLoS pathogens
Issue Date:
Feb-2017
URI:
http://hdl.handle.net/10033/621023
DOI:
10.1371/journal.ppat.1006033
PubMed ID:
28207848
Type:
Article
Language:
en
ISSN:
1553-7374
Appears in Collections:
publications of the Dept. of RNA biology of bacterial infections ([HIRI] RABI)

Full metadata record

DC FieldValue Language
dc.contributor.authorWestermann, Alexander Jen
dc.contributor.authorBarquist, Larsen
dc.contributor.authorVogel, Jörgen
dc.date.accessioned2017-07-28T12:39:33Z-
dc.date.available2017-07-28T12:39:33Z-
dc.date.issued2017-02-
dc.identifier.citationResolving host-pathogen interactions by dual RNA-seq. 2017, 13 (2):e1006033 PLoS Pathog.en
dc.identifier.issn1553-7374-
dc.identifier.pmid28207848-
dc.identifier.doi10.1371/journal.ppat.1006033-
dc.identifier.urihttp://hdl.handle.net/10033/621023-
dc.description.abstractThe transcriptome is a powerful proxy for the physiological state of a cell, healthy or diseased. As a result, transcriptome analysis has become a key tool in understanding the molecular changes that accompany bacterial infections of eukaryotic cells. Until recently, such transcriptomic studies have been technically limited to analyzing mRNA expression changes in either the bacterial pathogen or the infected eukaryotic host cell. However, the increasing sensitivity of high-throughput RNA sequencing now enables "dual RNA-seq" studies, simultaneously capturing all classes of coding and noncoding transcripts in both the pathogen and the host. In the five years since the concept of dual RNA-seq was introduced, the technique has been applied to a range of infection models. This has not only led to a better understanding of the physiological changes in pathogen and host during the course of an infection but has also revealed hidden molecular phenotypes of virulence-associated small noncoding RNAs that were not visible in standard infection assays. Here, we use the knowledge gained from these recent studies to suggest experimental and computational guidelines for the design of future dual RNA-seq studies. We conclude this review by discussing prospective applications of the technique.en
dc.language.isoenen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.titleResolving host-pathogen interactions by dual RNA-seq.en
dc.typeArticleen
dc.contributor.departmentHelmholtz-Institut für RNA-basierte Infektionsforschung, Josef-Schneider-Straße 2, 97080 Würzburg, Germany.en
dc.identifier.journalPLoS pathogensen

Related articles on PubMed

This item is licensed under a Creative Commons License
Creative Commons
All Items in HZI are protected by copyright, with all rights reserved, unless otherwise indicated.