Summary of Study ST002524
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 PR001626. The data can be accessed directly via it's Project DOI: 10.21228/M8HT4B 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 | ST002524 |
| Study Title | In situ microwave fixation provides an instantaneous snapshot of the brain metabolome - Part 1 |
| Study Summary | We demonstrate exhaustion of glycogen and glucose and an increase in lactate production during conventional rapid brain resection prior to preservation by liquid nitrogen that is not observed with microwave fixation. Next, microwave fixation was employed to define the impact of brain glucose metabolism in the mouse model of streptozotocin-induced type 1 diabetes. Using both total pool and isotope tracing analyses, we identified global glucose hypometabolism in multiple regions of the mouse brain, evidenced by reduced 13C enrichment into glycogen, glycolysis, and the TCA cycle. Reduced glucose metabolism correlated with a marked decrease in GLUT2 expression and several metabolic enzymes in unique brain regions. In conclusion, our study supports the incorporation of microwave fixation to study terminal brain metabolism in rodent models. |
| Institute | University of Florida |
| Last Name | Sun |
| First Name | Ramon |
| Address | 1200 Newell Drive, ARB |
| ramonsun@ufl.edu | |
| Phone | 3522948407 |
| Submit Date | 2023-03-22 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | cdf |
| Analysis Type Detail | GC-MS |
| Release Date | 2023-04-17 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN004158 |
|---|---|
| Analysis type | MS |
| Chromatography type | GC |
| Chromatography system | Agilent 7890A |
| Column | Agilent HP5-MS (30m x 0.25mm, 0.25 um) |
| MS Type | EI |
| MS instrument type | Single quadrupole |
| MS instrument name | Agilent 5975C |
| Ion Mode | POSITIVE |
| Units | Relative abundance |
MS:
| MS ID: | MS003905 |
| Analysis ID: | AN004158 |
| Instrument Name: | Agilent 5975C |
| Instrument Type: | Single quadrupole |
| MS Type: | EI |
| MS Comments: | GCMS protocols were similar to those described previously with a modified temperature gradient was used for GC: Initial temperature was 130degC, held for 4 minutes, rising at 6degC/minutes to 243degC, rising at 60degC/minutes to 280degC, held for 2 minutes. The electron ionization (EI) energy was set to 70 eV. Scan (m/z:50-800) and full scan mode were used for metabolomics analysis. Mass spectra were translated to relative metabolite abundance using the Automated Mass Spectral Deconvolution and Identification System (AMDIS) software matched to the FiehnLib metabolomics library (available through Agilent) for retention time and fragmentation pattern matching with a confidence score of > 80 (Fiehn, 2016; Fiehn et al., 2000; Kind et al., 2009). Data was further analyzed using the Data Extraction for Stable Isotope-labelled Metabolites (DEXSI) software package. Untargeted metabolomics data was normalized to total ion chromatogram. For glucose tracer raw data was exported and correction for natural abundance was done by IsoCorrectoR. Fractional enrichment of each metabolite was calculated as the relative abundance of each isotopologue relative to the sum of all other isotopologues. Mean enrichment was calculated as sum of fractional enrichment of labeled isotopologues (M1, M2, M3…). For principal component analysis, pathway impact analysis the online tool Metaboanlyst was used (https://www.metaboanalyst.ca/). Data was auto scaled and log transformed. |
| Ion Mode: | POSITIVE |
