Summary of project PR002576

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 PR002576. The data can be accessed directly via it's Project DOI: 10.21228/M8P563 This work is supported by NIH grant, U2C- DK119886. See: https://www.metabolomicsworkbench.org/about/howtocite.php

Project ID: PR002576
Project DOI:doi: 10.21228/M8P563
Project Title:Combined bacterial infection and radiation injury in the murine model: Consequences on metabolomics based biodosimetry
Project Summary:High-throughput biodosimetry assays are needed to assess ionizing radiation (IR) exposure in emergency situations that can predict the level of acute radiation syndrome (ARS) across a heterogenous segment of the population that may have secondary bacterial infections or combined injury. In this study, we investigate the impact of bacterial infection on metabolite-based biodosimetry using a well-established model: recombinant Listeria monocytogenes expressing ovalbumin (Lm-OVA) and C57BL/6 murine infection model. Male mice were infected with Lm-OVA, then subjected to 0, 2, or 6 Gy X-ray irradiation at 4 days post-infection (dpi). Biofluids were analyzed using untargeted metabolomics at 1 day (d) post-irradiation (5 dpi).
Institute:Georgetown University
Last Name:Pannkuk
First Name:Evan
Address:3970 Reservoir Rd, NW New Research Build, washington dc, District of Columbia, 20057, USA
Email:elp44@georgetown.edu
Phone:2026875650

Summary of all studies in project PR002576

Study IDStudy TitleSpeciesInstituteAnalysis
(* : Contains Untargted data)
Release
Date
VersionSamplesDownload
(* : Contains raw data)
ST004100 Combined bacterial infection and radiation injury in the murine model: Consequences on metabolomics based biodosimetry (Serum analysis) Mus musculus Georgetown University MS* 2026-01-02 1 37 Uploaded data (46.1G)*
ST004101 Combined bacterial infection and radiation injury in the murine model: Consequences on metabolomics based biodosimetry (Urine analysis) Mus musculus Georgetown University MS* 2026-01-02 1 37 Uploaded data (48.1G)*
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