Fahy Eoin, Subramaniam Shankar, Brown H Alex, Glass Christopher K, Merrill Alfred H, Murphy Robert C, Raetz Christian R H, Russell David W, Seyama Yousuke, Shaw Walter, Shimizu Takao, Spener Friedrich, van Meer Gerrit, VanNieuwenhze Michael S, White Stephen H, Witztum Joseph L, Dennis Edward A
San Diego Supercomputer Center, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0505, USA.
J Lipid Res. 2005 May;46(5):839-61. doi: 10.1194/jlr.E400004-JLR200. Epub 2005 Feb 16.
Lipids are produced, transported, and recognized by the concerted actions of numerous enzymes, binding proteins, and receptors. A comprehensive analysis of lipid molecules, "lipidomics," in the context of genomics and proteomics is crucial to understanding cellular physiology and pathology; consequently, lipid biology has become a major research target of the postgenomic revolution and systems biology. To facilitate international communication about lipids, a comprehensive classification of lipids with a common platform that is compatible with informatics requirements has been developed to deal with the massive amounts of data that will be generated by our lipid community. As an initial step in this development, we divide lipids into eight categories (fatty acyls, glycerolipids, glycerophospholipids, sphingolipids, sterol lipids, prenol lipids, saccharolipids, and polyketides) containing distinct classes and subclasses of molecules, devise a common manner of representing the chemical structures of individual lipids and their derivatives, and provide a 12 digit identifier for each unique lipid molecule. The lipid classification scheme is chemically based and driven by the distinct hydrophobic and hydrophilic elements that compose the lipid. This structured vocabulary will facilitate the systematization of lipid biology and enable the cataloging of lipids and their properties in a way that is compatible with other macromolecular databases.
脂质通过众多酶、结合蛋白和受体的协同作用产生、运输并被识别。在基因组学和蛋白质组学背景下对脂质分子进行全面分析,即“脂质组学”,对于理解细胞生理学和病理学至关重要;因此,脂质生物学已成为后基因组革命和系统生物学的主要研究目标。为促进关于脂质的国际交流,已开发出一种具有与信息学要求兼容的通用平台的脂质综合分类方法,以处理脂质领域即将产生的大量数据。作为这一发展的第一步,我们将脂质分为八类(脂肪酰基、甘油脂、甘油磷脂、鞘脂、甾醇脂、萜类脂、糖脂和聚酮化合物),其中包含不同的分子类别和亚类,设计出一种表示单个脂质及其衍生物化学结构的通用方式,并为每个独特的脂质分子提供一个12位标识符。脂质分类方案基于化学原理,由构成脂质的不同疏水和亲水元素驱动。这种结构化词汇将有助于脂质生物学的系统化,并能够以与其他大分子数据库兼容的方式对脂质及其特性进行编目。