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 |
|---|---|
| Pages (from-to) | 89-96 |
| Number of pages | 8 |
| Journal | Journal of Proteome Research |
| Volume | 12 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 4 Jan 2013 |
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