Summary of Study ST002534
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 PR001630. The data can be accessed directly via it's Project DOI: 10.21228/M80T52 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 | ST002534 |
| Study Title | Using Mass Spectrometry Imaging to Map Fluxes Quantitatively in the Tumor Ecosystem |
| Study Summary | Tumors are comprised of a multitude of cell types spanning different microenvironments. Mass spectrometry imaging (MSI) has the potential to identify metabolic patterns within the tumor ecosystem and surrounding tissues, but conventional workflows have not yet fully integrated the breadth of experimental techniques in metabolomics. Here, we combine MSI, stable isotope labeling, and a spatial variant of Isotopologue Spectral Analysis to map distributions of metabolite abundances, nutrient contributions, and metabolic turnover fluxes across the brains of mice harboring GL261 glioma, a widely used model for glioblastoma. When integrated with MSI, the combination of ion mobility, Desorption Electrospray Ionization, and Matrix Assisted Laser Desorption revealed disruption in multiple anabolic pathways. De novo fatty acid synthesis flux was determined to be increased by approximately 3-fold in glioma relative to surrounding healthy tissue. Fatty acid elongation flux was elevated even higher at 8-fold and highlights the importance of elongase activity in glioma. The fluxes we examined were uniformly increased throughout the entire tumor region, revealing a high degree of metabolic homogeneity in our model of glioblastoma. |
| Institute | Washington University in St. Louis |
| Department | Chemistry |
| Laboratory | Patti |
| Last Name | Stancliffe |
| First Name | Ethan |
| Address | 1 Brookings Dr. Campus Box 1134, St. Louis, MO 63105 |
| estancliffe@wustl.edu | |
| Phone | 3194644881 |
| Submit Date | 2023-03-24 |
| Num Groups | 2 |
| Total Subjects | 8 |
| Num Females | 8 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML |
| Analysis Type Detail | LC-MS |
| Release Date | 2023-04-13 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN004169 |
|---|---|
| Analysis type | MS |
| Chromatography type | HILIC |
| Chromatography system | Thermo Vanquish |
| Column | SeQuant ZIC-HILIC (150 x 2.1mm,5um) |
| MS Type | ESI |
| MS instrument type | Orbitrap |
| MS instrument name | Thermo Orbitrap ID-X tribrid |
| Ion Mode | UNSPECIFIED |
| Units | Peak areas |
MS:
| MS ID: | MS003916 |
| Analysis ID: | AN004169 |
| Instrument Name: | Thermo Orbitrap ID-X tribrid |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | A Vanquish UHPLC system was coupled to an Orbitrap ID-X Tribrid mass spectrometer (Thermo Fisher Scientific) via electrospray ionization with the following source conditions: sheath gas flow 50 arbitrary units (Arb), auxiliary gas flow 10 Arb, sweep gas flow 1 Arb, ion transfer tube temperature 300 °C, vaporizer temperature 200 °C respectively. The RF lens value was 60%. Data were acquired in negative and positive polarity with a spray voltage of 2.8 kV and 3.5 kV, respectively. MS1 data were acquired from 67-900 m/z at a resolution of 120,000 with an automatic gain control (AGC) target of 2e5 and a maximum injection time of 200 ms in polarity switching mode. MS2 data for metabolite identification were acquired at a resolution of 15,000 with an AGC target of 2.5e4 and a maximum injection time of 70 ms in negative and positive mode separately. A 5 ppm mass error and 10 s dynamic exclusion were applied. |
| Ion Mode: | UNSPECIFIED |
