GNPS Mouse Brain Lipidomics_Vasilopoulou CG
Ontology highlight
ABSTRACT:
INSTRUMENT(S): timsTOF Pro
ORGANISM(S): Mus Musculus (ncbitaxon:10090)
SUBMITTER: 
Catherine G. Vasilopoulou
PROVIDER: MSV000088020 | GNPS | Wed Aug 25 01:43:00 BST 2021
REPOSITORIES: GNPS
Similar Datasets
Project description:Lipidome profiling of mouse brain tissue using a highly sensitive nanoLC ion mobility QTOF workflow
2021-08-25 | MSV000088020 | MassIVE
Project description:<p><strong>INTRODUCTION:</strong> The absolute quantitation of lipids at the lipidome-wide scale is a challenge but plays an important role in the comprehensive study of lipid metabolism. </p><p><strong>OBJECTIVES:</strong> We aim to develop a high-throughput quantitative lipidomics approach to enable the simultaneous identification and absolute quantification of hundreds of lipids in a single experiment. Then, we will systematically characterize lipidome-wide changes in the aging mouse brain and provide a link between aging and disordered lipid homeostasis. </p><p><strong>METHODS:</strong> We created an in-house lipid spectral library, containing 76,361 lipids and 181,300 MS/MS spectra in total, to support accurate lipid identification. Then, we developed a response factor-based approach for the large-scale absolute quantifications of lipids. </p><p><strong>RESULTS:</strong> Using the lipidomics approach, we absolutely quantified 1212 and 864 lipids in human cells and mouse brains, respectively. The quantification accuracy was validated using the traditional approach with a median relative error of 12.6%. We further characterized the lipidome-wide changes in aging mouse brains, and dramatic changes were observed in both glycerophospholipids and sphingolipids. Sphingolipids with longer acyl chains tend to accumulate in aging brains. Membrane-esterified fatty acids demonstrated diverse changes with aging, while most polyunsaturated fatty acids consistently decreased. </p><p><strong>CONCLUSION:</strong> We developed a high-throughput quantitative lipidomics approach and systematically characterized the lipidome-wide changes in aging mouse brains. The results proved a link between aging and disordered lipid homeostasis. </p><p><br></p><p><strong>Mouse brain NEG UPLC-MS assay</strong> data is reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS495' rel='noopener noreferrer' target='_blank'><strong>MTBLS495</strong></a>.</p><p><strong>Mouse brain POS UPLC-MS assay</strong> data associated to this study is reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS562' rel='noopener noreferrer' target='_blank'><strong>MTBLS562</strong></a>.</p>
2018-08-03 | MTBLS495 | MetaboLights
Project description:<p><strong>INTRODUCTION:</strong> The absolute quantitation of lipids at the lipidome-wide scale is a challenge but plays an important role in the comprehensive study of lipid metabolism. </p><p><strong>OBJECTIVES:</strong> We aim to develop a high-throughput quantitative lipidomics approach to enable the simultaneous identification and absolute quantification of hundreds of lipids in a single experiment. Then, we will systematically characterize lipidome-wide changes in the aging mouse brain and provide a link between aging and disordered lipid homeostasis. </p><p><strong>METHODS:</strong> We created an in-house lipid spectral library, containing 76,361 lipids and 181,300 MS/MS spectra in total, to support accurate lipid identification. Then, we developed a response factor-based approach for the large-scale absolute quantifications of lipids. </p><p><strong>RESULTS:</strong> Using the lipidomics approach, we absolutely quantified 1212 and 864 lipids in human cells and mouse brains, respectively. The quantification accuracy was validated using the traditional approach with a median relative error of 12.6%. We further characterized the lipidome-wide changes in aging mouse brains, and dramatic changes were observed in both glycerophospholipids and sphingolipids. Sphingolipids with longer acyl chains tend to accumulate in aging brains. Membrane-esterified fatty acids demonstrated diverse changes with aging, while most polyunsaturated fatty acids consistently decreased. </p><p><strong>CONCLUSION:</strong> We developed a high-throughput quantitative lipidomics approach and systematically characterized the lipidome-wide changes in aging mouse brains. The results proved a link between aging and disordered lipid homeostasis. </p><p><br></p><p><strong>Mouse brain POS UPLC-MS assay</strong> data is reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS562' rel='noopener noreferrer' target='_blank'><strong>MTBLS562</strong></a>. </p><p><strong>Mouse brain NEG UPLC-MS assay</strong> data associated to this study is reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS495' rel='noopener noreferrer' target='_blank'><strong>MTBLS495</strong></a>.</p>
2018-08-03 | MTBLS562 | MetaboLights
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2021-12-23 | GSE191075 | GEO
Project description:The biological significance of circular RNAs remains largely unexplored due to the lack of loss-of-function animal models. In this study, we focused on circTulp4, a highly abundant circRNA that is enriched in the brain and synaptic compartments. We created a circTulp4-deficient (CD) mouse model and conducted a comprehensive phenotypic analysis. To test whether the electrophysiological phenotype observed in CD mice was explained by an alteration in the levels of synaptic proteins, we prepared pure synaptosomal fractions and conducted a quantitative proteomic analysis. Label-free quantification of CD and wildtype synaptic proteomes was performed by using an ion mobility-enhanced data-independent acquisition (DIA) workflow with alternating low and elevated energy (referred to as UDMSE). We quantified >1800 proteins and concluded that the protein composition of the synaptosomal compartment is preserved in CD mice.
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