文章基本信息

标题：A method for visualization of “omic” datasets for sphingolipid metabolism to predict potentially interesting differences
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作者：Amin A. Momin ; Hyejung Park ; Brent J. Portz 等
期刊名称：JLR Papers In Press
印刷版ISSN：0022-2275
电子版ISSN：1539-7262
出版年度：2011
卷号：52
期号：6
页码：1073-1083
DOI：10.1194/jlr.M010454
语种：English
出版社：American Society for Biochemistry and Molecular Biology
摘要：Sphingolipids are structurally diverse and their metabolic pathways highly complex, which makes it difficult to follow all of the subspecies in a biological system, even using “lipidomic” approaches. This report describes a method to use transcriptomic data to visualize and predict potential differences in sphingolipid composition, and it illustrates its use with published data for cancer cell lines and tumors. In addition, several novel sphingolipids that were predicted to differ between MDA-MB-231 and MCF7 cells based on published microarray data for these breast cancer cell lines were confirmed by mass spectrometry. For the data that we were able to find for these comparisons, there was a significant match between the gene expression data and sphingolipid composition ( P
关键词：lipidomics ; pathway visualization ; transcriptomics ; cancer