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使用基质辅助激光解吸/电离串联质谱(MALDI-MS/MS)对脑组织中的甘油磷脂和硫脂进行原位结构表征。

In situ structural characterization of glycerophospholipids and sulfatides in brain tissue using MALDI-MS/MS.

作者信息

Jackson Shelley N, Wang Hay-Yan J, Woods Amina S

机构信息

Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland 21224, USA.

出版信息

J Am Soc Mass Spectrom. 2007 Jan;18(1):17-26. doi: 10.1016/j.jasms.2006.08.015. Epub 2006 Sep 26.

Abstract

Lipids are major structural components of biomembranes. Negatively charged species such as phosphatidylinositol, phosphatidylserine, sulfatides, and the zwitterionic phosphatidylethanolamines are major components of the cytoplasmic surface of the cellular membrane lipid bilayer and play a key role in several receptors signaling functions. Lipids are not just involved in metabolic and neurological diseases; negatively charged lipids in particular play crucial roles in physiological events such as signal transduction, receptors, and enzymatic activation, as well as storage and release of therapeutic drugs and toxic chemicals in the body. Due to the importance of their role in signaling, the field of lipidomics has rapidly expanded in recent years. In the present study, direct probing of tissue slices with negative ion mode matrix assisted laser desorption/ionization mass spectrometry was employed to profile the distribution of lipids in the brain. In total, 32 lipid species consisting of phosphatidylethanolamines, phosphatidylglycerol, phosphatidylinositols, phosphatidylserines, and sulfatides were assigned. To confirm the structure of lipid species, MALDI-MS/MS analysis was conducted. Product-ion spectra obtained in negative ion mode allow for the assignment of the head groups and the fatty acid chains for the lipid species.

摘要

脂质是生物膜的主要结构成分。带负电荷的物质,如磷脂酰肌醇、磷脂酰丝氨酸、硫脂和两性离子磷脂酰乙醇胺,是细胞膜脂质双层细胞质表面的主要成分,在几种受体信号传导功能中起关键作用。脂质不仅与代谢和神经系统疾病有关;特别是带负电荷的脂质在生理过程中起着至关重要的作用,如信号转导、受体和酶激活,以及体内治疗药物和有毒化学物质的储存和释放。由于其在信号传导中的重要作用,近年来脂质组学领域迅速扩展。在本研究中,采用负离子模式基质辅助激光解吸/电离质谱直接探测组织切片,以分析大脑中脂质的分布。总共鉴定出32种脂质,包括磷脂酰乙醇胺、磷脂酰甘油、磷脂酰肌醇、磷脂酰丝氨酸和硫脂。为了确认脂质种类的结构,进行了基质辅助激光解吸/电离串联质谱(MALDI-MS/MS)分析。在负离子模式下获得的产物离子光谱有助于确定脂质种类的头部基团和脂肪酸链。

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