Summary of Study ST001637
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 PR001047. The data can be accessed directly via it's Project DOI: 10.21228/M8C68D 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 | ST001637 |
| Study Title | A Metabolome Atlas of the Aging Mouse Brain |
| Study Summary | The mammalian brain relies on neurochemistry to fulfill its functions. Yet, the complexity of the brain metabolome and its changes during diseases or aging remains poorly understood. To start bridging this gap, we generated a metabolome atlas of the aging mouse brain from 10 anatomical regions spanning from adolescence to late adulthood. We combined data from three chromatography-based mass spectrometry assays and structurally annotated 1,709 metabolites to reveal the underlying architecture of aging-induced changes in the brain metabolome. Overall differences between sexes were minimal. We found 94% of all metabolites to significantly differ between brain sections in at least one age group. We also discovered that 90% of the metabolome showed significant changes with respect to age groups. For example, we identified a shift in sphingolipid patterns during aging that is related to myelin remodeling in the transition from adolescent to adult brains. This shift was accompanied by large changes in overall signature in a range of other metabolic pathways. We found clear metabolic similarities in brain sections that were functionally related such as brain stem, cerebrum and cerebellum. In cerebrum, metabolic correlation patterns got markedly weaker in the transition from adolescent to ear adults, whereas correlation patterns between cerebrum and brainstem regions decreased from early to late adulthood. We were also able to map metabolic changes to gene and protein brain atlases to link molecular changes to metabolic brain phenotypes. Metabolic profiles can be investigated via https://atlas.metabolomics.us/. This new resource enables brain researchers to link new metabolomic studies to a foundation data set. |
| Institute | University of California, Davis |
| Department | Genome Center |
| Laboratory | West Coast Metabolomics Center |
| Last Name | Ding |
| First Name | Jun |
| Address | 451 East Health Science Drive, Davis, CA, 95616, USA |
| junding@ucdavis.edu | |
| Phone | 773-326-5420 |
| Submit Date | 2020-12-23 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Thermo) |
| Analysis Type Detail | GC-MS/LC-MS |
| Release Date | 2021-08-30 |
| Release Version | 1 |
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Project:
| Project ID: | PR001047 |
| Project DOI: | doi: 10.21228/M8C68D |
| Project Title: | A Metabolome Atlas of the Aging Mouse Brain |
| Project Summary: | The mammalian brain relies on neurochemistry to fulfill its functions. Yet, the complexity of the brain metabolome and its changes during diseases or aging remains poorly understood. To start bridging this gap, we generated a metabolome atlas of the aging mouse brain from 10 anatomical regions spanning from adolescence to late adulthood. We combined data from three chromatography-based mass spectrometry assays and structurally annotated 1,709 metabolites to reveal the underlying architecture of aging-induced changes in the brain metabolome. Overall differences between sexes were minimal. We found 94% of all metabolites to significantly differ between brain sections in at least one age group. We also discovered that 90% of the metabolome showed significant changes with respect to age groups. For example, we identified a shift in sphingolipid patterns during aging that is related to myelin remodeling in the transition from adolescent to adult brains. This shift was accompanied by large changes in overall signature in a range of other metabolic pathways. We found clear metabolic similarities in brain sections that were functionally related such as brain stem, cerebrum and cerebellum. In cerebrum, metabolic correlation patterns got markedly weaker in the transition from adolescent to ear adults, whereas correlation patterns between cerebrum and brainstem regions decreased from early to late adulthood. We were also able to map metabolic changes to gene and protein brain atlases to link molecular changes to metabolic brain phenotypes. Metabolic profiles can be investigated via https://atlas.metabolomics.us/. This new resource enables brain researchers to link new metabolomic studies to a foundation data set. |
| Institute: | University of California, Davis |
| Department: | Genome Center |
| Laboratory: | West Coast Metabolomics Center |
| Last Name: | Ding |
| First Name: | Jun |
| Address: | 451 East Health Science Drive, Davis, CA, 95616, USA |
| Email: | junding@ucdavis.edu |
| Phone: | 773-326-5420 |
| Funding Source: | NIH U2C ES030158 |
