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.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST000083 |
| Study Title | A Multi-Omic View of Host-Pathogen-Commensal Interplay in Salmonella-Mediated Intestinal Infection |
| Study Type | Timecourse of Infection |
| Study Summary | The 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. Typhimuriums 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 |
| Department | Biological Separation and Mass Spectrometry |
| Last Name | Metz |
| First Name | Thomas |
| thomas.metz@pnnl.gov | |
| Submit Date | 2014-06-25 |
| Num Groups | 4 |
| Total Subjects | 30 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | cdf, d |
| Uploaded File Size | 268 M |
| Analysis Type Detail | GC-MS |
| Release Date | 2014-07-30 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
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 |
MS:
| MS ID: | MS000111 |
| Analysis ID: | AN000135 |
| Instrument Name: | Agilent 5975C |
| Instrument Type: | Single quadrupole |
| MS Type: | EI |
| MS Comments: | An Agilent GC 7890A coupled with a single quadrupole MSD 5975C (Agilent Technologies, Inc.; Santa Clara, CA, USA) was used, and the samples were blocked and analyzed in random order for each experiment. Data were collected over the mass range 50-550 m/z. A mixture of FAMEs (C8-C28) was analyzed once per day together with the samples for retention index alignment purposes during subsequent data analysis. |
| Ion Mode: | POSITIVE |
| Scan Range Moverz: | 50-550 m/z |
