Dreyfus H, Guérold B, Freysz L, Hicks D
Laboratoire de Physiopathologie Rétinienne, INSERM CJF 92-02, Clinique Médicale A, CHUR, Strasbourg, France.
Anal Biochem. 1997 Jun 15;249(1):67-78. doi: 10.1006/abio.1997.2143.
Currently available techniques concerning extraction and characterization of the different lipids from biological specimens are designed for particular families and do not address consecutive isolation of lipid constituents in their globality. We describe here a simple, nondestructive chromatographic procedure that allows efficient elution and further analysis of the major lipid classes (neutral lipids, phospholipids, nonsialylated sphingolipids, and gangliosides) in their natural states from the same starting material. The procedure describes the use of solvent mixtures adapted to silicic acid column chromatography and permits 90-97% recovery of each of the above lipid groups. We have particularly concentrated on optimizing the efficient recovery of the diverse minor forms of gangliosides, free of other contaminants, from relatively small amounts of neural tissue. As model systems we have used in vivo and in vitro preparations of mammalian retina for which only fragmentary data are available on lipid composition. We show that relative to brain, retina contains, for example, twofold more sphingomyelin and sixfold more GD3 ganglioside. In turn, cultured retinal glial cells contain twofold higher levels of globoside and eightfold higher amounts of GM3 ganglioside with respect to intact retina. Compared to previously published techniques, we obtain improved total ganglioside recovery, with enrichment of poly-sialogangliosides. The technique presented here should be widely applicable to analyze global lipid composition of diverse biological samples.
目前用于从生物标本中提取和表征不同脂质的技术是针对特定类别设计的,无法整体连续分离脂质成分。我们在此描述一种简单、无损的色谱方法,该方法能够从同一原始材料中高效洗脱并进一步分析天然状态下的主要脂质类别(中性脂质、磷脂、非唾液酸化鞘脂和神经节苷脂)。该方法介绍了适用于硅酸柱色谱的溶剂混合物的使用,可使上述每种脂质组的回收率达到90 - 97%。我们特别专注于优化从相对少量神经组织中高效回收各种不含其他污染物的神经节苷脂的次要形式。作为模型系统,我们使用了哺乳动物视网膜的体内和体外制剂,关于其脂质组成仅有零散数据。我们表明,例如相对于脑,视网膜含有两倍多的鞘磷脂和六倍多的GD3神经节苷脂。反过来,培养的视网膜神经胶质细胞相对于完整视网膜含有两倍高的红细胞糖苷脂水平和八倍高的GM3神经节苷脂含量。与先前发表的技术相比,我们提高了总神经节苷脂的回收率,并富集了多唾液酸神经节苷脂。本文介绍的技术应广泛适用于分析各种生物样品的整体脂质组成。