Summary of Study ST002083
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 PR001309. The data can be accessed directly via it's Project DOI: 10.21228/M8HH60 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.
| Study ID | ST002083 |
| Study Title | Time-Resolved Metabolomics of a Mouse Model of High-Grade Serous Ovarian Cancer (MSI) |
| Study Summary | The dismally low survival rate of ovarian cancer patients diagnosed with high-grade serous carcinoma (HGSC) emphasizes the lack of effective screening strategies. One major obstacle is the limited knowledge of the underlying mechanisms of HGSC pathogenesis at very early stages. Here, we present the first 10-month time-resolved serum metabolic profile of a triple mutant (TKO) HGSC mouse model, along with the spatial lipidome profile of its entire reproductive system. A high-coverage liquid chromatography mass spectrometry-based metabolomics approach was applied to longitudinally collected serum samples from both TKO and TKO control mice, tracking metabolome and lipidome changes from disease onset until mouse death. Spatial lipid distributions within the reproductive system were also mapped via ultrahigh-resolution matrix-assisted laser desorption/ionization (MALDI) mass spectrometry and compared with serum lipid profiles for various lipid classes. Altogether, our results show that the remodeling of lipid and fatty acid metabolism, amino acid biosynthesis, TCA cycle and ovarian steroidogenesis are critical components of HGSC onset and development. These metabolic alterations are accompanied by changes in energy metabolism, mitochondrial and peroxisomal function, redox homeostasis, and inflammatory response, collectively supporting tumorigenesis. |
| Institute | Georgia Institute of Technology |
| Department | School of Chemistry & Biochemistry |
| Laboratory | Facundo M. Fernandez |
| Last Name | Sah |
| First Name | Samyukta |
| Address | School of Chemistry & Biochemistry, 901 Atlantic Dr |
| ssah9@gatech.edu | |
| Phone | 5746780124 |
| Submit Date | 2022-02-10 |
| Raw Data Available | Yes |
| Analysis Type Detail | MALDI-MS |
| Release Date | 2022-02-22 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN003400 |
|---|---|
| Analysis type | MS |
| Chromatography type | None (Direct infusion) |
| Chromatography system | none |
| Column | none |
| MS Type | MALDI |
| MS instrument type | FT-ICR |
| MS instrument name | Bruker Solarix FT-ICR-MS |
| Ion Mode | NEGATIVE |
| Units | mass peak abundances |
