Deep Profiling of Aminophospholipids Reveals a Dysregulated Desaturation Pattern in Breast Cancer Cell Lines.
Qiaohong LinPengyun LiMengxuan FangDonghui ZhangYu XiaPublished in: Analytical chemistry (2021)
Phosphatidylethanolamines (PEs), ether-PEs, and phosphatidylserines (PSs) are glycerophospholipids harboring a primary amino group in their headgroups. They are key components of mammalian cell membranes and play pivotal roles in cell signaling and apoptosis. In this study, a liquid chromatography-mass spectrometry (LC-MS) workflow for deep profiling of PEs, ether-PEs, and PSs has been developed by integrating two orthogonal derivatizations: (1) derivatization of the primary amino group by 4-trimethylammoniumbutyryl- N -hydroxysuccinimide (TMAB-NHS) for enhanced LC separation and MS detection and (2) the Paternò-Büchi (PB) reaction for carbon-carbon double bond (C═C) derivatization and localization. Significant improvement of the limit of identification down to the C═C location has been achieved for the standards of PSs (3 nM) and ether-PEs (20 nM). This workflow facilitates an identification of more than 200 molecular species of aminophospholipids in the porcine brain, two times more than those identified without TMAB-NHS derivatization. Importantly, we discovered that the n -10 isomers in C16:1 and C18:1 of aminophospholipids showed elevated contribution among other isomers, which correlated well with an increased transcription of the corresponding desaturase (FADS2) in the human breast cancer cell line (MDA-MB-231) relative to that in the normal cell line (HMEC). The abovementioned data suggest that lipid reprograming via forming different C═C location isomers might be an alternative mechanism in cancer cells.
Keyphrases
- liquid chromatography
- mass spectrometry
- tandem mass spectrometry
- high resolution mass spectrometry
- single cell
- high performance liquid chromatography
- simultaneous determination
- gas chromatography
- ultra high performance liquid chromatography
- solid phase extraction
- ms ms
- capillary electrophoresis
- electronic health record
- liquid chromatography tandem mass spectrometry
- endothelial cells
- cell therapy
- photodynamic therapy
- patient safety
- ionic liquid
- oxidative stress
- cell cycle arrest
- breast cancer cells
- cell death
- machine learning
- heavy metals
- risk assessment
- resting state
- big data
- induced pluripotent stem cells
- transcription factor
- signaling pathway
- sensitive detection
- deep learning