Enabling RPGs to Leverage NCRR Center and Center-like Programs (NOT-OD-09-058 Recovery Act Funds for Competitive Revision Applications). The goal of this proposed research is to begin to understand how a macrophage responds to Salmonella infection and how Salmonella virulence factors alter that response. We will infect cells with the parent 14028 and isogenic derivatives either missing specific virulence regulators or missing type III secretion altogether and compare differences in the transcriptome, proteome and phosphoproteome of the infected cell. In general the regulator mutants will express the same pathogen associated molecular patterns as the parent but differ in the proteins secreted as well as other virulence factors some of which are not yet defined. The triple mutant SPI-1/SPI-2/flgB will express no type III secreted effectors. This experiment will allow a clear distinction to be made between response to pathogen associated molecular patterns and expression of virulence factors that modify or disrupt expression of macrophage signal transduction pathways. We will use a new cross-linking and affinity purification approach to identify the target protein of a given secreted effector. We will use bioinformatics for interpretation including network inference algorithms to look for patterns of causal influence in gene expression data and an algorithm developed for the reconstruction of gene regulatory networks in mammalian cells (Margolin et al., 2006). Pathway information from several sources will be included (e.g. NCI-Nature Pathway Interaction Database (Schaefer et al., 2009). This analysis will help define how Salmonella is able to survive within the host by subverting particular host functions.

Public Health Relevance

The goal of this application is to begin to understand how a host cell responds to infection. Response of the body to infection is determined by molecular patterns on all bacteria that are sensed by the body's innate immune system. In turn, the bacteria defends itself by producing virulence factors to block host defense mechanisms. Salmonella mutations that are missing specific virulence factors will be used to assess how these same virulence factors alter host response by comparing changes in the host cell at multiple levels.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
3R01AI022933-23S1
Application #
7893429
Study Section
Special Emphasis Panel (ZRG1-IDM-M (95))
Program Officer
Alexander, William A
Project Start
2010-06-14
Project End
2011-05-31
Budget Start
2010-06-14
Budget End
2011-05-31
Support Year
23
Fiscal Year
2010
Total Cost
$226,604
Indirect Cost
Name
Oregon Health and Science University
Department
Microbiology/Immun/Virology
Type
Schools of Medicine
DUNS #
096997515
City
Portland
State
OR
Country
United States
Zip Code
97239
Li, Jie; Overall, Christopher C; Nakayasu, Ernesto S et al. (2015) Analysis of the Salmonella regulatory network suggests involvement of SsrB and H-NS in ?(E)-regulated SPI-2 gene expression. Front Microbiol 6:27
Ansong, Charles; Deatherage, Brooke L; Hyduke, Daniel et al. (2013) Studying Salmonellae and Yersiniae host-pathogen interactions using integrated 'omics and modeling. Curr Top Microbiol Immunol 363:21-41
Niemann, George S; Brown, Roslyn N; Mushamiri, Ivy T et al. (2013) RNA type III secretion signals that require Hfq. J Bacteriol 195:2119-25
Deatherage Kaiser, Brooke L; Li, Jie; Sanford, James A et al. (2013) A Multi-Omic View of Host-Pathogen-Commensal Interplay in Salmonella-Mediated Intestinal Infection. PLoS One 8:e67155
Kidwai, Afshan S; Mushamiri, Ivy; Niemann, George S et al. (2013) Diverse secreted effectors are required for Salmonella persistence in a mouse infection model. PLoS One 8:e70753
Hovis, Kelley M; Mojica, Sergio; McDermott, Jason E et al. (2013) Genus-optimized strategy for the identification of chlamydial type III secretion substrates. Pathog Dis 69:213-22
Nakayasu, Ernesto S; Brown, Roslyn N; Ansong, Charles et al. (2013) Multi-omic data integration links deleted in breast cancer 1 (DBC1) degradation to chromatin remodeling in inflammatory response. Mol Cell Proteomics 12:2136-47
Brown, Roslyn N; Sanford, James A; Park, Jea H et al. (2012) A Comprehensive Subcellular Proteomic Survey of Salmonella Grown under Phagosome-Mimicking versus Standard Laboratory Conditions. Int J Proteomics 2012:123076
Archuleta, Michelle N; McDermott, Jason E; Edwards, Jeremy S et al. (2012) An adaptive coarse graining method for signal transduction in three dimensions. Fundam Inform 118:
Yoon, Hyunjin; Gros, Phillipe; Heffron, Fred (2011) Quantitative PCR-based competitive index for high-throughput screening of Salmonella virulence factors. Infect Immun 79:360-8

Showing the most recent 10 out of 57 publications