Dual RNA-seq of pathogen and host
By A. Westermann, S. Gorski, Jörg Vogel. Nature Reviews Microbiology, 2012
680 citations recorded by the source corpus.
A comprehensive understanding of host–pathogen interactions requires a knowledge of the associated gene expression changes in both the pathogen and the host. Traditional, probe-dependent approaches using microarrays or reverse transcription PCR typically require the pathogen and host cells to be physically separated before gene expression analysis. However, the development of the probe-independent RNA sequencing (RNA-seq) approach has begun to revolutionize transcriptomics. Here, we assess the feasibility of taking transcriptomics one step further by performing 'dual RNA-seq', in which gene expression changes in both the pathogen and the host are analysed simultaneously.
Subfields: Ecology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/c58af549aa7371fe6ec28006e0833446f2d68454
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Citations in the corpus
- RNA Sequencing Data: Hitchhiker's Guide to Expression Analysis (2018, background): “Among others, further applications include spatial transcriptomics, where cellular positional information is maintained in the preparation of cDNA fragments [38] , hostpathogen interactions via “dual RNAseq”, where the transcriptomes of both host and pathogen are simultaneously assayed [39] , th”
- Computational analysis of bacterial RNA-Seq data (2013, background): “via selection of RNA carrying a 50 tri-phosphate group (9), with RNA from both pathogens and hosts for investigations of host-pathogen interactions (10) and with RNA from whole environments in metatranscriptome studies (11–13).”
- Single-cell RNA-seq: advances and future challenges (2014, neutral): “…address ambitious projects such as global expression maps of low-abundance lncRNAs in single mammalian cells or a new type of Dual RNA-seq of infected single cells in which all eukaryotic transcripts of the host are read simultaneously with those from an intracellular bacterial pathogen (170).”