Summary of project PR000784

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 PR000784. The data can be accessed directly via it's Project DOI: 10.21228/M8BH6F This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

Project ID: PR000784
Project DOI:doi: 10.21228/M8BH6F
Project Title:Deep Metabolomics of a High-Grade Serous Ovarian Cancer Triple Knockout Mouse Model.
Project Type:Untargeted metabolomics
Project Summary:High-grade serous carcinoma (HGSC) is the most common and deadliest ovarian cancer (OC) type, accounting for 70–80% of OC deaths. This high mortality is largely due to late diagnosis. Early detection is thus crucial to reduce mortality. Yet tumor pathogenesis of HGSC remains poorly understood, making early detection difficult. Faithfully and reliably representing the clinical nature of human HGSC, a recently-developed triple knockout (TKO) mouse model offers a unique opportunity to examine the entire disease spectrum of HGSC. Deep metabolomics study was performed to serum samples collected from these mice to understand the metabolic alternations associated with HGSC development and progression, and provide guidance toward early detection.
Institute:Georgia Institute of Technology
Department:Chemistry
Laboratory:Fernández
Last Name:Huang
First Name:Danning
Address:901 Atlantic Dr NE, Atlanta, GA, 30332, USA
Email:dhuang74@gatech.edu
Phone:404-512-7523

Summary of all studies in project PR000784

Study IDStudy TitleSpeciesInstituteAnalysis
(* : Contains Untargted data)		 Release
Date		VersionSamplesDownload
(* : Contains raw data)
ST001172 Deep Metabolomics of a High-Grade Serous Ovarian Cancer Triple Knockout Mouse Model. Mus musculus Georgia Institute of Technology MS* 2019-10-11 1 84 Uploaded data (47.4G)*
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