Brain lipidomics: From functional landscape to clinical significance
JH Yoon, Y Seo, YS Jo, S Lee, E Cho… - Science …, 2022 - science.org
Lipids are crucial components of cellular function owing to their role in membrane formation,
intercellular signaling, energy storage, and homeostasis maintenance. In the brain, lipid …
intercellular signaling, energy storage, and homeostasis maintenance. In the brain, lipid …
[HTML][HTML] Advanced tandem mass spectrometry in metabolomics and lipidomics—methods and applications
S Heiles - Analytical and Bioanalytical Chemistry, 2021 - Springer
Metabolomics and lipidomics are new drivers of the omics era as molecular signatures and
selected analytes allow phenotypic characterization and serve as biomarkers, respectively …
selected analytes allow phenotypic characterization and serve as biomarkers, respectively …
[HTML][HTML] Ozone-enabled fatty acid discovery reveals unexpected diversity in the human lipidome
Fatty acid isomers are responsible for an under-reported lipidome diversity across all
kingdoms of life. Isomers of unsaturated fatty acids are often masked in contemporary …
kingdoms of life. Isomers of unsaturated fatty acids are often masked in contemporary …
[HTML][HTML] Deep-profiling of phospholipidome via rapid orthogonal separations and isomer-resolved mass spectrometry
A lipidome comprises thousands of lipid species, many of which are isomers and isobars.
Liquid chromatography-tandem mass spectrometry (LC-MS/MS), although widely used for …
Liquid chromatography-tandem mass spectrometry (LC-MS/MS), although widely used for …
[HTML][HTML] Metabolomics and complementary techniques to investigate the plant phytochemical cosmos
Covering: up to 2021 Plants and their associated microbial communities are known to
produce millions of metabolites, a majority of which are still not characterized and are …
produce millions of metabolites, a majority of which are still not characterized and are …
[HTML][HTML] Deep-lipidotyping by mass spectrometry: recent technical advances and applications
In-depth structural characterization of lipids is an essential component of lipidomics. There
has been a rapid expansion of mass spectrometry methods that are capable of resolving …
has been a rapid expansion of mass spectrometry methods that are capable of resolving …
Mass spectrometry imaging of lipids with isomer resolution using high-pressure ozone-induced dissociation
Mass spectrometry imaging (MSI) of lipids within tissues has significant potential for both
biomolecular discovery and histopathological applications. Conventional MSI technologies …
biomolecular discovery and histopathological applications. Conventional MSI technologies …
Imaging and Structural Characterization of Phosphatidylcholine Isomers from Rat Brain Tissue Using Sequential Collision-Induced Dissociation/Electron-Induced …
T Yan, Z Liang, BM Prentice - Analytical Chemistry, 2023 - ACS Publications
The chemical complexity of biological tissues creates challenges in the analysis of lipids via
imaging mass spectrometry. The presence of isobaric and isomeric compounds introduces …
imaging mass spectrometry. The presence of isobaric and isomeric compounds introduces …
[HTML][HTML] Single-cell lipidomics with high structural specificity by mass spectrometry
Z Li, S Cheng, Q Lin, W Cao, J Yang, M Zhang… - Nature …, 2021 - nature.com
Single-cell analysis is critical to revealing cell-to-cell heterogeneity that would otherwise be
lost in ensemble analysis. Detailed lipidome characterization for single cells is still far from …
lost in ensemble analysis. Detailed lipidome characterization for single cells is still far from …
High-confidence structural identification of metabolites relying on tandem mass spectrometry through isomeric identification: A tutorial
Y Song, Q Song, W Liu, J Li, P Tu - TrAC Trends in Analytical Chemistry, 2023 - Elsevier
MS/MS currently serves as the workhorse for metabolomics. Structural identification is
extremely important to correlate statistical variables to biochemical functions and …
extremely important to correlate statistical variables to biochemical functions and …