Dataset Information

Simultaneous high-resolution analysis of vaccinia virus and host cell transcriptomes by deep RNA sequencing.

ABSTRACT: Deep RNA sequencing was used to simultaneously analyze vaccinia virus (VACV) and HeLa cell transcriptomes at progressive times following infection. VACV, the prototypic member of the poxvirus family, replicates in the cytoplasm and contains a double-stranded DNA genome with approximately 200 closely spaced open reading frames (ORFs). The acquisition of a total of nearly 500 million short cDNA sequences allowed construction of temporal strand-specific maps of the entire VACV transcriptome at single-base resolution and analysis of over 14,000 host mRNAs. Before viral DNA replication, transcripts from 118 VACV ORFs were detected; after replication, transcripts from 93 additional ORFs were characterized. The high resolution permitted determination of the precise boundaries of many mRNAs including read-through transcripts and location of mRNA start sites and adjacent promoters. Temporal analysis revealed two clusters of early mRNAs that were synthesized in the presence of inhibitors of protein as well as DNA synthesis, indicating that they do not correspond to separate immediate- and delayed-early classes as defined for other DNA viruses. The proportion of viral RNAs reached 25-55% of the total at 4 h. This rapid change, resulting in a relative decrease of the vast majority of host mRNAs, can contribute to the profound shutdown of host protein synthesis and blunting of antiviral responses. At 2 h, however, a minority of cellular mRNAs was increased. The overrepresented functional categories of the up-regulated RNAs were NF-kappaB cascade, apoptosis, signal transduction, and ligand-mediated signaling, which likely represent the host response to invasion.

SUBMITTER: Yang Z

PROVIDER: S-EPMC2895082 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature

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Simultaneous high-resolution analysis of vaccinia virus and host cell transcriptomes by deep RNA sequencing.

Yang Zhilong Z Bruno Daniel P DP Martens Craig A CA Porcella Stephen F SF Moss Bernard B

Proceedings of the National Academy of Sciences of the United States of America 20100607 25

Deep RNA sequencing was used to simultaneously analyze vaccinia virus (VACV) and HeLa cell transcriptomes at progressive times following infection. VACV, the prototypic member of the poxvirus family, replicates in the cytoplasm and contains a double-stranded DNA genome with approximately 200 closely spaced open reading frames (ORFs). The acquisition of a total of nearly 500 million short cDNA sequences allowed construction of temporal strand-specific maps of the entire VACV transcriptome at sing ...[more]

PMID: 20534518

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Project description:Helicobacter pylori is a highly successful pathogen that poses a substantial threat to human health. However, the dynamic interaction between H. pylori and the human gastric epithelium has not been fully investigated. In this study, using dual RNA sequencing technology, we characterized a cytotoxin-associated gene A (cagA)-modulated bacterial adaption strategy by enhancing the expression of ATP-binding cassette transporter-related genes, metQ and HP_0888, upon coculturing with human gastric epithelial cells. We observed a general repression of electron transport-associated genes by cagA, leading to the activation of oxidative phosphorylation. Temporal profiling of host mRNA signatures revealed the downregulation of multiple splicing regulators due to bacterial infection, resulting in aberrant pre-mRNA splicing of functional genes involved in the cell cycle process in response to H. pylori infection. Moreover, we demonstrated a protective effect of gastric H. pylori colonization against chronic dextran sulfate sodium (DSS)-induced colitis. Mechanistically, we identified a cluster of propionic and butyric acid-producing bacteria, Muribaculaceae, selectively enriched in the colons of H. pylori-pre-colonized mice, which may contribute to the restoration of intestinal barrier function damaged by DSS treatment. Collectively, this study presents the first dual-transcriptome analysis of H. pylori during its dynamic interaction with gastric epithelial cells and provides new insights into strategies through which H. pylori promotes infection and pathogenesis in the human gastric epithelium.ImportanceSimultaneous profiling of the dynamic interaction between Helicobacter pylori and the human gastric epithelium represents a novel strategy for identifying regulatory responses that drive pathogenesis. This study presents the first dual-transcriptome analysis of H. pylori when cocultured with gastric epithelial cells, revealing a bacterial adaptation strategy and a general repression of electron transportation-associated genes, both of which were modulated by cytotoxin-associated gene A (cagA). Temporal profiling of host mRNA signatures dissected the aberrant pre-mRNA splicing of functional genes involved in the cell cycle process in response to H. pylori infection. We demonstrated a protective effect of gastric H. pylori colonization against chronic DSS-induced colitis through both in vitro and in vivo experiments. These findings significantly enhance our understanding of how H. pylori promotes infection and pathogenesis in the human gastric epithelium and provide evidence to identify targets for antimicrobial therapies.

Project description:BackgroundOrgan-specific gene expression contains rich information about in vivo biological processes. This kind of information, previously gathered through microarray profiling, has been proven fruitful to the understanding of specific mutants, regulatory events, signaling, and development. With the advent of the next-generation sequencing (NGS) of RNAs, more quantitative and detailed information of gene expressions than previously available can now be collected for each organ or organ developmental stages. The combination of an object-oriented experimental design and an efficient treatment of the high volume information generated through a NGS platform may offer a powerful tool for inferring previously intractable developmental processes.ResultsWe collected transcriptomic data over a Solexa/Illumina platform on samples of Ipomoea leaf, sepal, and petals (at three developmental stages), and presented a method for analyzing transcriptomic variations within and between organs. We demonstrated that in vivo signals of transcriptomes can be retrieved de novo through the NGS techniques, proper data handling, bioinformatic tools, and the current understanding of molecular networks. We found that numbers of transcribed genes from both nuclear and chloroplast genomes decreased by the same order of leaf → sepal →petal. Petal resembled leaf in cell division patterns and abundance level of commonly expressed organelle genes. Its chloroplast transcripts constituted a subset of those in leaf. Moreover, reconstructions of multiple metabolic networks for each organ enabled inferences of substance flow, providing transcript evidence for the path of sucrose in leaf to anthocyanin synthesis in petal.ConclusionOur results attest that developmental transcriptomes are highly informative for exploring connections between morphological traits and the associated molecular networks. Significant hypotheses have been developed, including that the petal is a derived organ of leaf and that its color can be modified by fluctuations of substance flow within the associated metabolic networks among organs.

Dataset Information

Simultaneous high-resolution analysis of vaccinia virus and host cell transcriptomes by deep RNA sequencing.

Publications

Simultaneous high-resolution analysis of vaccinia virus and host cell transcriptomes by deep RNA sequencing.

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