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Series GSE27604 Query DataSets for GSE27604
Status Public on Aug 23, 2011
Title A metabolomics analysis of gallbladder lipid droplet formation due to Salmonella infection
Organism Mus musculus
Experiment type Other
Summary To cause disease, Salmonella enterica serovar Typhimurium requires two type-III secretion systems, encoded on Salmonella Pathogenicity Islands 1 and 2 (SPI-1 and -2). These secretion systems serve to deliver virulence proteins, termed effectors, into the host cell cytosol. While the importance of these effector proteins to promote colonization and replication within the host has been established, the specific roles of individual secreted effectors in the disease process are not well understood. In this study, we used an in vivo gallbladder epithelial cell infection model to study the function of the SPI-2-encoded effector, SseL. Deletion of the sseL gene resulted in bacterial filamentation and elongation and unusual localization of Salmonella within infected epithelial cells. Infection with the ΔsseL strain also caused dramatic changes in lipid metabolism and led to massive accumulation of lipid droplets in infected cells. Some of these changes were investigated through metabolomics of gallbladder tissue. This phenotype was directly attributed to the deubiquitinase activity of SseL, as a Salmonella strain carrying a single point mutation in the catalytic cysteine resulted in the same phenotype as the deletion mutant. Excessive buildup of lipids due to the absence of a functional sseL gene was also observed in S. Typhimurium-infected livers. These results demonstrate that SseL alters host lipid metabolism in infected epithelial cells by modifying ubiquitination patterns of cellular targets.
 
Overall design Female C57BL/6 mice were infected with the indicated strain of Salmonella enterica serovar Typhimurium by oral gavage. Four gallbladders were collected and pooled per sample group and metabolites extracted using a mixture of methanol and chloroform. Extracts were infused into a 12-T Apex-Qe hybrid quadrupole-FT-ICR mass spectrometer equipped with an Apollo II electrospray ionization source, a quadrupole mass filter and a hexapole collision cell. Raw mass spectrometry data were processed as described elsewhere (Han et al. 2008. Metabolomics. 4:128-140). To identify differences in metabolite composition between different groups of samples, we filtered the list of masses for metabolites which were present on one set of samples but not the other. Additionally, we calculated the ratios between averaged intensities of metabolites from each group of mice. To assign possible metabolite identities, monoisotopic neutral masses of interest were queried against MassTrix (http://masstrix.org). Masses were searched against the Mus musculus database within a mass error of 3 ppm.
 
Contributor(s) Arena ET, Auweter SD, Vogl W, Antunes LC, Han J, Guttman JA, Croxen MA, Menendez A, Borchers CH, Finlay BB
Citation(s) 21875964
Submission date Mar 01, 2011
Last update date Mar 23, 2012
Contact name L. Caetano M. Antunes
E-mail(s) antunes@mail.ubc.ca
Phone 604-827-3921
Organization name The University of British Columbia
Department Michael Smith Laboratories
Lab Finlay Lab
Street address #367 - 2185 East Mall
City Vancouver
State/province BC
ZIP/Postal code V6T 1Z4
Country Canada
 
Platforms (1)
GPL10454 Mouse metabolomics mass spec data
Samples (9)
GSM684295 Uninfected 2
GSM684296 Uninfected 3
GSM684297 Wildtype-infected 1
Relations
BioProject PRJNA138279

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE27604_SPECTRA_FILES.tar.gz 55.5 Mb (ftp)(http) TAR
GSE27604_masses_and_intensities.txt.gz 37.4 Kb (ftp)(http) TXT
GSE27604_readme.txt 257 b (ftp)(http) TXT
Processed data are available on Series record

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