Unknown,Transcriptomics,Genomics,Proteomics

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Francisella tularensis Schu4 gene expression during infection of mouse spleen

ABSTRACT: Francisella tularensis is classified as a Category A priority pathogen and causes fatal disseminated disease in humans upon inhalation of less than 50 bacteria. Although drugs are available for treatment, they are not ideal because of toxicity and delivery, and in some cases relapse upon withdrawal. We have an ongoing program in the development of novel FabI enoyl-ACP-reductase enzyme inhibitors for Francisella and other select agents. To establish ftFabI in F. tularensis as a clinically relevant drug target, we demonstrated that the enzyme is essential for growth in vitro and that ftfabI is not transcriptionally altered in the presence of exogenous fatty acids. Inhibition of ftFabI results in loss of viability that is not rescued by exogenous fatty acids supplementation. Importantly, whole-genome transcriptional profiling of F. tularensis with DNA microarrays from infected tissues revealed that ftfabI and de novo fatty acid biosynthetic genes are transcriptionally active during infection. This is the first demonstration that the FabI enoyl-ACP-reductase enzyme encoded by F. tularensis is essential and that de novo fatty acid biosynthetic components are transcriptionally active during infection in the mouse model tularemia. 2 C57BL/6 mice were infected with Francisella tularensis strain Schu4 via the intranasal route. Spleen tissue was harvested at 120 hours post-infection and total RNA was isolated immediately after harvest. RNA was pooled and host polyA-tailed RNA and ribosomal RNA were depleted using hybridization probes coupled to magnetic beads. The resulting sample was enriched for bacterial mRNA, and dye labeled using random hexamer primed RT and Cy3-labeled dUTPs. Labeled cDNA was hybridized in triplicate to custom whole genome cDNA microarrays and scanned using a GenePix 4000B.

ORGANISM(S): Francisella tularensis subsp. tularensis SCHU S4

SUBMITTER: Luke Kingry

PROVIDER: E-GEOD-39871 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Raghunathan2010 - Genome-scale metabolic network of Francisella tularensis (iRS605) This model is described in the article: Systems approach to investigating host-pathogen interactions in infections with the biothreat agent Francisella. Constraints-based model of Francisella tularensis. Raghunathan A, Shin S, Daefler S. BMC Syst Biol 2010; 4: 118 Abstract: BACKGROUND: Francisella tularensis is a prototypic example of a pathogen for which few experimental datasets exist, but for which copious high-throughout data are becoming available because of its re-emerging significance as biothreat agent. The virulence of Francisella tularensis depends on its growth capabilities within a defined environmental niche of the host cell. RESULTS: We reconstructed the metabolism of Francisella as a stoichiometric matrix. This systems biology approach demonstrated that changes in carbohydrate utilization and amino acid metabolism play a pivotal role in growth, acid resistance, and energy homeostasis during infection with Francisella. We also show how varying the expression of certain metabolic genes in different environments efficiently controls the metabolic capacity of F. tularensis. Selective gene-expression analysis showed modulation of sugar catabolism by switching from oxidative metabolism (TCA cycle) in the initial stages of infection to fatty acid oxidation and gluconeogenesis later on. Computational analysis with constraints derived from experimental data revealed a limited set of metabolic genes that are operational during infection. CONCLUSIONS: This integrated systems approach provides an important tool to understand the pathogenesis of an ill-characterized biothreat agent and to identify potential novel drug targets when rapid target identification is required should such microbes be intentionally released or become epidemic. This model is hosted on BioModels Database and identified by: MODEL1507180003. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Francisella tularensis Schu4 gene expression during infection of mouse spleen

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