Double-Bond Localization in Lipids in Cancer Research
Provider: Ministerstvo školství, mládeže a tělovýchovy
Programme: Operační program Jan Amos Komenský - výzkum
Implementation period: 01.07.26 - 30.06.28
Workplace:
Fakulta chemicko-technologická - Katedra analytické chemie
Investigator: Lásko ZuzanaTeam member: Holčapek Michal | Jirásko Robert | Zhao Laiyu | Dubská Lenka
Description:
Lipids are key components of cellular membranes and metabolic pathways, and their structure critically determines their function. However, routine lipidomic methods based on coupling liquid chromatography with tandem mass spectrometry often provide insufficient structural information for unsaturated lipids and do not reliably distinguish isomers that differ in double bond position. Double bond localization has therefore become one of the most important structural features studied in lipidomics, also because unusual double bond positions in lipid acyl/alkyl chains have been reported in certain cancers. The aim of this project is to develop a methodology that combines chromatographic separation with an online Paternò–Büchi reaction and mass spectrometric detection to determine double bond positions in selected lipid classes and to validate its utility in biological samples. The project will also include the development and testing of a module for automated interpretation of the resulting data.
Lipids are key components of cellular membranes and metabolic pathways, and their structure critically determines their function. However, routine lipidomic methods based on coupling liquid chromatography with tandem mass spectrometry often provide insufficient structural information for unsaturated lipids and do not reliably distinguish isomers that differ in double bond position. Double bond localization has therefore become one of the most important structural features studied in lipidomics, also because unusual double bond positions in lipid acyl/alkyl chains have been reported in certain cancers. The aim of this project is to develop a methodology that combines chromatographic separation with an online Paternò–Büchi reaction and mass spectrometric detection to determine double bond positions in selected lipid classes and to validate its utility in biological samples. The project will also include the development and testing of a module for automated interpretation of the resulting data.
