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SRX6029609: GSM3866808: AX4 Lp_1hpi-A; Dictyostelium discoideum AX4; RNA-Seq
1 ILLUMINA (Illumina HiSeq 2500) run: 11M spots, 562.4M bases, 249.2Mb downloads

Submitted by: NCBI (GEO)
Study: Investigation of the host transcriptional response to intracellular bacterial infection using Dictyostelium discoideum as a host model
show Abstracthide Abstract
Background During infection by intracellular pathogens, a highly complex interplay occurs between the infected cell trying to degrade the invader and the pathogen which actively manipulates the host cell to enable survival and proliferation. Many intracellular pathogens pose important threats to human health and major efforts have been undertaken to better understand the host-pathogen interactions that eventually determine the outcome of the infection. Over the last decades, the unicellular eukaryote Dictyostelium discoideum has become an established infection model, serving as a surrogate macrophage that can be infected with a wide range of intracellular pathogens. In this study, we use high-throughput RNA-sequencing to analyze the transcriptional response of D. discoideum when infected with Mycobacterium marinum and Legionella pneumophila. The results were compared to available data from human macrophages. Results The majority of the transcriptional regulation triggered by the two pathogens was found to be unique for each bacterial challenge. Hallmark transcriptional signatures were identified for each infection, e.g. induction of endosomal sorting complexes required for transport (ESCRT) and autophagy genes in response to M. marinum and inhibition of genes associated with the translation machinery and energy metabolism in response to L. pneumophila. However, a common response to the pathogenic bacteria was also identified, which was not induced by non-pathogenic food bacteria. Finally, comparison with available data sets of regulation in human monocyte derived macrophages shows that the elicited response in D. discoideum recapitulates what has been observed in human immune cells in response to Mycobacterium tuberculosis and L. pneumophila. Conclusions Our study presents high-throughput characterization of D. discoideum transcriptional response to intracellular pathogens using RNA-seq. We demonstrate that the transcriptional response is in essence distinct to each pathogen and to a large extent recapitulate the regulation in human macrophages after infection by mycobacteria and L. pneumophila. This indicates that host-pathogen interactions are evolutionary conserved, derived from the early interactions between free-living phagocytic cells and bacteria. Taken together, our results strengthen the use of D. discoideum as a general infection model. Overall design: RNA-seq of polyA enriched total RNA samples from Mycobacterium marinum infected and non-infected Dictyostelium discoideum AX2 cells. Samples were collected approximately 2.5 hours post infection (hpi). RNA-seq of polyA enriched total RNA samples from Legionella pneumophila infected D. discoideum AX4 cells at 1 and 6 hpi as well as non-infected control.
Sample: AX4 Lp_1hpi-A
SAMN12003175 • SRS4933178 • All experiments • All runs
Library:
Instrument: Illumina HiSeq 2500
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: cDNA
Layout: SINGLE
Construction protocol: For M. marinum infection samples, total RNA was isolated by the Ambion PureLink™ RNA Mini kit in combination with TRIzol (Invitrogen), followed by on column DNAse treatment according to the manufacturer's instructions (Ambion, Invitrogen). For L. pneumophila infection samples RNA samples were prepared by TRIzol extraction. For M. marinum infection samples, poly(A)-enriched libraries were created using TruSeq RNA Library Prep Kit (Illumina). For L. pneumophila infected samples, libraries were prepared using TruSeq stranded mRNA library preparation kit with polyA selection (Illumina).
Experiment attributes:
GEO Accession: GSM3866808
Links:
Runs: 1 run, 11M spots, 562.4M bases, 249.2Mb
Run# of Spots# of BasesSizePublished
SRR925916711,027,088562.4M249.2Mb2019-11-07

ID:
8072051

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