Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Biochimie. 2013 Jan;95(1):109-15. doi: 10.1016/j.biochi.2012.08.012. Epub 2012 Aug 23.
Lipidomics is a subspecialty of metabolomics that focuses on water insoluble metabolites that form membrane barriers. Most lipidomic databases catalog lipids from common model organisms, like humans or Escherichia coli. However, model organisms' lipid profiles show surprisingly little overlap with those of specialized pathogens, creating the need for organism-specific lipidomic databases. Here we review rapid progress in lipidomic platform development with regard to chromatography, detection and bioinformatics. We emphasize new methods of comparative lipidomics, which use aligned datasets to identify lipids changed after introducing a biological variable. These new methods provide an unprecedented ability to broadly and quantitatively describe lipidic change during biological processes and identify changed lipids with low error rates.
脂质组学是代谢组学的一个分支,专注于形成膜屏障的不溶于水的代谢物。大多数脂质组学数据库都对常见的模式生物(如人类或大肠杆菌)的脂质进行编目。然而,模式生物的脂质图谱与专门的病原体的脂质图谱惊人地没有重叠,这就需要建立特定于生物体的脂质组学数据库。在这里,我们综述了脂质组学平台在色谱、检测和生物信息学方面的快速发展。我们强调了比较脂质组学的新方法,这些方法使用对齐的数据集来识别引入生物变量后发生变化的脂质。这些新方法提供了一种前所未有的能力,可以广泛而定量地描述生物过程中的脂质变化,并以低错误率识别发生变化的脂质。