Show simple item record

dc.contributor.authorSaliba, Antoine-Emmanuel
dc.contributor.authorC Santos, Sara
dc.contributor.authorVogel, Jörg
dc.date.accessioned2018-10-02T09:59:51Z
dc.date.available2018-10-02T09:59:51Z
dc.date.issued2017-01-01
dc.identifier.issn1879-0364
dc.identifier.pmid28214646
dc.identifier.doi10.1016/j.mib.2017.01.001
dc.identifier.urihttp://hdl.handle.net/10033/621506
dc.description.abstractUnderstanding how bacteria cause disease requires knowledge of which genes are expressed and how they are regulated during infection. While RNA-seq is now a routine method for gene expression analysis in bacterial pathogens, the past years have also witnessed a surge of novel RNA-seq based approaches going beyond standard mRNA profiling. These include variations of the technique to capture post-transcriptional networks controlled by small RNAs and to discover associated RNA-binding proteins in the pathogen itself. Dual RNA-seq analyzing pathogen and host simultaneously has revealed roles of noncoding RNAs during infection and enabled the correlation of bacterial gene activity with specific host responses. Single-cell RNA-seq studies have addressed how heterogeneity among individual host cells may determine infection outcomes.en_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.titleNew RNA-seq approaches for the study of bacterial pathogens.en_US
dc.typeArticleen_US
dc.contributor.departmentHelmoltz-Institut für RNA-basierteInfektionsforschung, Josef-Schneider-Strasse 2, 97080 Würzburg, Germany.en_US
refterms.dateFOA2018-10-02T09:59:52Z
dc.source.journaltitleCurrent opinion in microbiology


Files in this item

Thumbnail
Name:
Publisher version
Thumbnail
Name:
Saliba, Santos and Vogel.pdf
Size:
5.860Mb
Format:
PDF
Description:
original manuscript

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-ShareAlike 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 United States