Summary of Study ST000083

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000075. The data can be accessed directly via it's Project DOI: 10.21228/M86K5H This work is supported by NIH grant, U2C- DK119886.

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Study IDST000083
Study TitleA Multi-Omic View of Host-Pathogen-Commensal Interplay in Salmonella-Mediated Intestinal Infection
Study TypeTimecourse of Infection
Study SummaryThe potential for commensal microorganisms indigenous to a host (the ‘microbiome’ or ‘microbiota’) to alter infection outcome by influencing host-pathogen interplay is largely unknown. We used a multi-omics ‘‘systems’’ approach, incorporating proteomics, metabolomics, glycomics, and metagenomics, to explore the molecular interplay between the murine host, the pathogen Salmonella enterica serovar Typhimurium (S. Typhimurium), and commensal gut microorganisms during intestinal infection with S. Typhimurium. We find proteomic evidence that S. Typhimurium thrives within the infected 129/SvJ mouse gut without antibiotic pre-treatment, inducing inflammation and disrupting the intestinal microbiome (e.g., suppressing Bacteroidetes and Firmicutes while promoting growth of Salmonella and Enterococcus). Alteration of the host microbiome population structure was highly correlated with gut environmental changes, including the accumulation of metabolites normally consumed by commensal microbiota. Finally, the less characterized phase of S. Typhimurium’s lifecycle was investigated, and both proteomic and glycomic evidence suggests S. Typhimurium may take advantage of increased fucose moieties to metabolize fucose while growing in the gut. The application of multiple omics measurements to Salmonella-induced intestinal inflammation provides insights into complex molecular strategies employed during pathogenesis between host, pathogen, and the microbiome.
Institute
Pacific Northwest National Laboratory
DepartmentBiological Separation and Mass Spectrometry
Last NameMetz
First NameThomas
Emailthomas.metz@pnnl.gov
Submit Date2014-06-25
Num Groups4
Total Subjects30
Raw Data AvailableYes
Raw Data File Type(s)cdf, d
Uploaded File Size268 M
Analysis Type DetailGC-MS
Release Date2014-07-30
Release Version1
Thomas Metz Thomas Metz
https://dx.doi.org/10.21228/M86K5H
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Combined analysis:

Analysis ID AN000135
Analysis type MS
Chromatography type GC
Chromatography system Agilent 7890A
Column Agilent HP5-MS (30m × 0.25mm, 0.25 um)
MS Type EI
MS instrument type Single quadrupole
MS instrument name Agilent 5975C
Ion Mode POSITIVE
Units Peak area

Chromatography:

Chromatography ID:CH000095
Chromatography Summary:Agilent 7890A gas chromatograph with a HP-5MS gas chromatography column using Chemstation
Chromatography Comments:Chromatography was carried out on an Agilent 7890A gas chromatograph using the manufacturer's software (Chemstation) and a HP-5MS gas chromatography column (Agilent Technologies, Santa Clara, CA; 30 m x 0.25 mm x 0.25 m film thickness). The sample injection mode was splitless, and 1 L of each sample was injected. The injection port temperature was held at 250 C throughout the analysis. The GC oven was held at 60 C for 1 min after injection, and the temperature was then increased to 325 C by 10 C/min, followed by a 5 min hold at 325 C. The helium gas flow rates for each Experiment were determined by the Agilent Retention Time Locking function based on analysis of deuterated myristic acid and were in the range of 0.450.5 mL/min.
Instrument Name:Agilent 7890A
Column Name:Agilent HP5-MS (30m × 0.25mm, 0.25 um)
Flow Rate:0.450.5 mL/min
Injection Temperature:250 C
Sample Injection:1 L, splitless
Analytical Time:37.5 min
Oven Temperature:60 C for 1 min, then increased to 325 C by 10 C/min, followed by a 5 min hold at 325 C
Sample Syringe Size:10 L
Chromatography Type:GC
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