Abstract
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.
Original language | English |
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Pages (from-to) | 89 - 96 |
Number of pages | 8 |
Journal | Journal of Proteome Research |
Volume | 12 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2013 |