中文摘要：

系统生物学是由在一个房间的所有单个部件之中描述相互作用的份量上，生物回答的 asystems 水平理解能在被完成的一个新、很快开发的研究区域。因此，它为生物分子的 requireshigh 产量测量技术例如为 DNA/RNA 和蛋白质的 genomic 和 proteomicapproaches， respectively.Recently，一个新概念， lipidomics，它利用集体 spectrometry (MS ) 为类脂化合物分析的方法，被建议了。用这 lipidomicapproach，鞘磷脂新陈代谢上的 N-methyl-N-nitro-N-nitrosoguanidine (MNNG ) 的效果， sphingolipids 的一个主要的班，被评估。鞘磷脂分子从房间被提取并且由飞行 MS.It 的帮助矩阵的激光解吸附作用电离时间分析了被发现那 MNNGinduced 深刻在鞘磷脂新陈代谢变化，包括某新鞘磷脂种类的外观和也改变的几鞘磷脂种的一些其它，和集中的消失。这被 acidsphingomyelinase (ASM ) 的再分配伴随，在鞘磷脂新陈代谢的一个关键播放器。在另一方面， imipramine， ASM 的一个禁止者，引起了鞘磷脂的累积。它也一起阻止了一些 ASM.Taken 的效果 ofMNNG，以及再分配，这些数据建议 lipidomicapproach 为细胞的类脂化合物的系统的分析是高度有效的新陈代谢。

英文摘要：

Systems biology is a new and rapidly developing research area in which, by quantitatively describing the interaction among all the individual components of a cell, a systems-level understanding of a biological response can be achieved. Therefore, it requires high-throughput measurement technologies for biological molecules, such as genomic and proteomic approaches for DNA/RNA and protein, respectively.Recently, a new concept, lipidomics, which utilizes the mass spectrometry （MS） method for lipid analysis,has been proposed. Using this lipidomic approach, the effects of N-methyl-N＇-nitro-N-nitrosoguanidine （MNNG） on sphingomyelin metabolism, a major class of sphingolipids, were evaluated. Sphingomyelin molecules were extracted from cells and analyzed by matrix-assisted laser desorption ionization-time of flight MS. It was found that MNNG induced profound changes in sphingomyelin metabolism, including the appearance of some new sphingomyelin species and the disappearance of some others, and the concentrations of several sphingomyelin species also changed. This was accompanied by the redistribution of acid sphingomyelinase （ASM）, a key player in sphingomyelin metabolism. On the other hand, imipramine, an inhibitor of ASM,caused the accumulation of sphingomyelin. It also prevented some of the effects of MNNG, as well as the redistribution of ASM. Taken together, these data suggested that the lipidomic approach is highly effective for the systematic analysis of cellular lipids metabolism.