Transcriptomics, i.e., the quantification of cellular RNA transcripts, is a powerful way to gauge the physiological state of either bacterial or eukaryotic cells under a given condition. However, traditional...
Read More »Studying interspecies relationships with dual RNA-seq
Organisms do not exist isolated from each other, but constantly interact. Cells can sense the presence of interaction partners by a range of receptors and, via complex regulatory networks, specifically react by changing the expression of many of their genes. ...
Read More »New RNA-seq approaches for the study of bacterial pathogens
Understanding 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 ...
Read More »If it transcribes, we can sequence it!
Host-pathogen interactions are exceedingly complex because they involve multiple host tissues, often occur in the context of normal microflora, and can span diverse microenvironments. Although decades of gene expression studies have provided detailed insights into infection processes, technical challenges have ...
Read More »Dual RNA-seq for host–pathogen transcriptomics
An invasive bacterium must adapt to the environment of the host cell while the host cell reacts to the invader. However, the analysis of transcriptomes to understand changes in host and pathogen gene expression has typically been applied to a ...
Read More »Dual RNA-seq unveils noncoding RNA functions in host-pathogen interactions
Bacteria express many small RNAs for which the regulatory roles in pathogenesis have remained poorly understood due to a paucity of robust phenotypes in standard virulence assays. Here, researchers from the University of Würzburg used a generic ‘dual RNA-seq’ approach ...
Read More »Dual RNA-Seq enables computational prediction of molecular pathogen-host interactions
Inference of inter-species gene regulatory networks based on gene expression data is an important computational method to predict pathogen-host interactions (PHIs). Both the experimental setup and the nature of PHIs exhibit certain characteristics. First, besides an environmental change, the battle ...
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