Kavanagh Deirdre M, Powell William E, Malik Poonam, Lazou Vassiliki, Schirmer Eric C
Wellcome Trust Centre for Cell Biology, University of Edinburgh, UK.
Subcell Biochem. 2007;43:51-76. doi: 10.1007/978-1-4020-5943-8_5.
Most subcellular organelles are expected to be similar among different cell types; however, a recent study suggests a surprising amount of variation in the protein composition at the nuclear envelope. Therefore, to comprehensively identify proteins in subcellular organelles proteomics datasets may need to be generated from multiple cell types. In this chapter we describe a proteomics study that expanded the number of nuclear membrane proteins by 5-fold using a "subtractive" methodology in which a subcellular organelle is partially purified biochemically and partially purified in silico. The biochemical fraction of interest and a separate fraction enriched in proteins known to contaminate it, in this case nuclear envelopes and microsomes respectively, are first isolated and separately analyzed by mass spectrometry. For in silico purification, proteins appearing in both fractions are subtracted from the dataset in order to identify proteins that are unique to the organelle being investigated. This approach identified 67 novel putative nuclear envelope transmembrane proteins in rodent liver. Further analysis of their expression levels in other tissues indicates that several are preferentially expressed in liver cell types, which in turn predicts considerable variation in the nuclear envelope proteome among different cell types. Finally, we discuss several issues associated with confirming that these peptide-based identifications represent proteins that truly localize to the nuclear envelope. These studies have complicated rather than simplified our view of the nuclear envelope, but proteomics has set the stage for beginning to understand this highly complex subnuclear organelle.
大多数亚细胞细胞器在不同细胞类型中预计是相似的;然而,最近的一项研究表明核膜处的蛋白质组成存在惊人的差异。因此,为了全面鉴定亚细胞细胞器中的蛋白质,可能需要从多种细胞类型生成蛋白质组学数据集。在本章中,我们描述了一项蛋白质组学研究,该研究使用“减法”方法将核膜蛋白的数量增加了5倍,在这种方法中,亚细胞细胞器通过生化方法进行部分纯化,并通过计算机模拟进行部分纯化。首先分离出感兴趣的生化组分和一个富含已知会污染它的蛋白质的单独组分,在这种情况下分别是核膜和微粒体,然后通过质谱分别进行分析。对于计算机模拟纯化,从数据集中减去在两个组分中都出现的蛋白质,以鉴定所研究细胞器特有的蛋白质。这种方法在啮齿动物肝脏中鉴定出67种新的假定核膜跨膜蛋白。对它们在其他组织中的表达水平的进一步分析表明,其中几种在肝细胞类型中优先表达,这反过来又预示着不同细胞类型之间核膜蛋白质组存在相当大的差异。最后,我们讨论了与确认这些基于肽段的鉴定代表真正定位于核膜的蛋白质相关的几个问题。这些研究使我们对核膜的看法变得更加复杂而非简化,但蛋白质组学为开始理解这个高度复杂的亚核细胞器奠定了基础。