Details

Autor(en) / Beteiligte

• Kuo, Ting-Hao
• Chung, Hsin-Hsiang
• Chang, Hsin-Yuan
• Lin, Chiao-Wei
• Wang, Ming-Yang
• Shen, Tang-Long
• Hsu, Cheng-Chih

Titel

Deep Lipidomics and Molecular Imaging of Unsaturated Lipid Isomers: A Universal Strategy Initiated by mCPBA Epoxidation

Ist Teil von

• Analytical chemistry (Washington), 2019-09, Vol.91 (18), p.11905-11915

Ort / Verlag

United States: American Chemical Society

Erscheinungsjahr

2019

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Cellular lipidome is highly regulated through lipogenesis, rendering diverse double-bond positional isomers (CC isomer) of a given unsaturated lipid species. In recent years, there are increasing reports indicating the physiological roles of CC isomer compositions associated with diseases, while the biochemistry has not been broadly investigated due to the challenge in characterizing lipid isomers inherent to conventional mass spectrometry-based lipidomics. To address this challenge, we reported a universal, user-friendly, derivatization-based strategy, MELDI (mCPBA Epoxidation for Lipid Double-bond Identification), which enables both large-scale identification and spatial mapping of biological CC isomers using commercial mass spectrometers without any instrument modification. With the developed liquid-chromatography mass spectrometry (LC-MS) lipidomics workflow, we elucidated more than 100 isomers among monounsaturated and polyunsaturated fatty acids and glycerophospholipids in human serum, where uncommon isomers of low abundance were quantified for the first time. The capability of MELDI-LC-MS in lipidome analysis was further demonstrated using the differentiated 3T3-L1 adipocytes, providing an insight into the cellular lipid reprogramming upon stearoyl-coenzyme A desaturase 1 (SCD1) inhibition. Finally, we highlighted the versatility of MELDI coupled with ambient mass spectrometry imaging to spatially resolve cancer-associated alteration of lipid isomers in a metastatic mouse tissue section. Our results suggested that MELDI will contribute to current lipidomics pipelines with a deeper level of structural information, allowing us to investigate the underlying lipid biochemistry.