Automated data-driven mass spectrometry for improved analysis of lipids with dual dissociation techniques.

ABSTRACT: Lipidomics is an important component of most multi-Omics systems biology studies and is largely driven by mass spectrometry (MS). Because lipids are tight regulators of multiple cellular functions, including energy homeostasis, membrane structures and cell signaling, lipidomics can provide a deeper understanding of variations underlying disease states and can become an even more powerful platform when combined with other omics, including genomics or proteomics. However, data analysis, especially in lipid annotation, poses challenges due to the heterogeneity of functional head groups and fatty acyl chains of varying hydrocarbon lengths and degrees of unsaturation. As there are various MS/MS fragmentation sites in lipids that are class-dependent, obtaining MS/MS data that includes as many fr

SUBMITTER: Byeon SK 

PROVIDER: S-EPMC8662330 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature