Summary of Study ST001172

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

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

Show all samples
Download mwTab file (text) | Download mwTab file(JSON) | Download data files (Contains raw data)

Study ID	ST001172
Study Title	Deep Metabolomics of a High-Grade Serous Ovarian Cancer Triple Knockout Mouse Model.
Study Type	Untargeted metabolomics
Study Summary	Metabolic alternations were investigated by applying Ultra Performance Liquid Chromatography Mass Spectrometry (UPLC-MS) to serum samples collected from triple knockout (TKO) mice at pre-malignant, early, and advanced stages of HGSC. Samples were analyzed with control mice, which have the same genetic background as TKO mice but develop no tumors. To enhance the selectivity for HGSC-specific metabolite markers, a tumor control group was also included. These were uterine tumor (UT) mice that developed uterine tumors, but no HGSC. All samples were analyzed using reverse phase (RP) and hydrophilic interaction liquid chromatography (HILIC) UPLC-MS analysis in positive and negative ion modes.
Institute	Georgia Institute of Technology
Department	Chemistry
Laboratory	Fernández
Last Name	Huang
First Name	Danning
Address	901 Atlantic Dr NE
Email	dhuang74@gatech.edu
Phone	4045127523
Submit Date	2019-04-16
Num Groups	5
Total Subjects	84
Num Females	84
Raw Data Available	Yes
Raw Data File Type(s)	raw(Thermo)
Analysis Type Detail	LC-MS
Release Date	2019-10-11
Release Version	1

Select appropriate tab below to view additional metadata details:

Sample Preparation:

Sampleprep ID:	SP001245
Sampleprep Summary:	Serum samples were thawed on ice and subject to two different sample preparation protocols to profile either non-polar or polar sub-metabolomes. Reverse phase (RP) and hydrophilic interaction liquid chromatography (HILIC) UPLC-MS analysis were used for these different polarity metabolite fractions to obtain complementary information. Methanol (for polar) or iso-propanol (for non-polar) was added to a 50 μL serum sample in a 3:1 ratio to precipitate proteins. Samples were vortex mixed for 10 s and centrifuged at 13,000 rpm for 7 min. Then, 150 μL supernatant was frozen at -80 °C for UPLC-MS analysis. A sample blank was prepared with 50 μL of LC-MS grade water, and a pooled quality control (QC) sample was created by mixing 10 μL aliquot of each serum sample. Both the sample blank and the pooled sample were processed with the same procedure as the murine serum samples. Solvent blanks and sample blanks were analyzed together with murine serum samples.

Sampleprep ID:

SP001245

Sampleprep Summary:

Serum samples were thawed on ice and subject to two different sample preparation protocols to profile either non-polar or polar sub-metabolomes. Reverse phase (RP) and hydrophilic interaction liquid chromatography (HILIC) UPLC-MS analysis were used for these different polarity metabolite fractions to obtain complementary information. Methanol (for polar) or iso-propanol (for non-polar) was added to a 50 μL serum sample in a 3:1 ratio to precipitate proteins. Samples were vortex mixed for 10 s and centrifuged at 13,000 rpm for 7 min. Then, 150 μL supernatant was frozen at -80 °C for UPLC-MS analysis. A sample blank was prepared with 50 μL of LC-MS grade water, and a pooled quality control (QC) sample was created by mixing 10 μL aliquot of each serum sample. Both the sample blank and the pooled sample were processed with the same procedure as the murine serum samples. Solvent blanks and sample blanks were analyzed together with murine serum samples.