Marshall Wallace F
Department of Biochemistry & Biophysics, University of California, San Francisco, CA, USA.
Methods Mol Biol. 2008;432:403-14. doi: 10.1007/978-1-59745-028-7_27.
Genome-wide transcriptional profiling provides a rich source of data for the validation and annotation of organelle proteomic data. Organelle biogenesis is in most cases accompanied by upregulation of genes encoding organelle-specific proteins. Consequently, identification of genes whose expression correlates with organelle assembly leads to a candidate list that can be cross-checked with a preliminary organelle proteome. When proteins are found in the proteome and the corresponding genes are found to have organelle assembly-correlated expression, this greatly increases our confidence that those proteins are true components of the organelle and not contamination. Such an approach can be used to narrow down a preliminary proteomic data set and help us to focus on a smaller sub-set of proteins that are supported by transcriptomic cross-validation.
全基因组转录谱分析为细胞器蛋白质组学数据的验证和注释提供了丰富的数据来源。在大多数情况下,细胞器的生物发生伴随着编码细胞器特异性蛋白质的基因的上调。因此,鉴定那些表达与细胞器组装相关的基因会得到一个候选列表,该列表可与初步的细胞器蛋白质组进行交叉核对。当在蛋白质组中发现蛋白质,并且发现相应的基因具有与细胞器组装相关的表达时,这会大大增加我们对那些蛋白质是细胞器的真正组成部分而非污染物的信心。这种方法可用于缩小初步蛋白质组学数据集的范围,并帮助我们专注于由转录组交叉验证支持的较小蛋白质子集。