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  • 标题:A method for visualization of “omic” datasets for sphingolipid metabolism to predict potentially interesting differences
  • 本地全文:下载
  • 作者:Amin A. Momin ; Hyejung Park ; Brent J. Portz
  • 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
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