Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW 2109, Australia.
J Proteome Res. 2013 Jan 4;12(1):89-96. doi: 10.1021/pr300906y. Epub 2012 Dec 18.
In this manuscript, we describe a shotgun proteomics approach for a comprehensive proteomic analysis of samples including total lysates, membrane, secretome, and exosome fractions from a panel of colorectal cancer cell lines. We will present an analysis of our proteomics data in two alternative formats. First we will discuss a traditional analysis of our data, in which we identify a number of cancer-associated proteins using various proteomic data analysis tools. In a second approach, we use a chromosome format to organize the proteomic data on chromosome 7, allowing the identification of clusters of cancer-associated genes with boundaries defined by physical proximity on different chromosomes.
在本手稿中,我们描述了一种鸟枪法蛋白质组学方法,用于对来自一系列结直肠癌细胞系的总裂解物、膜、分泌组和外泌体等分选样本进行全面的蛋白质组学分析。我们将以两种替代格式呈现我们的蛋白质组学数据分析。首先,我们将讨论对我们数据的传统分析,其中我们使用各种蛋白质组学数据分析工具来鉴定一些与癌症相关的蛋白质。在第二种方法中,我们使用染色体格式来组织染色体 7 上的蛋白质组学数据,允许通过不同染色体上的物理接近性来定义与癌症相关的基因簇的边界。