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Chromosome 7-centric analysis of proteomics data from a panel of human colon carcinoma cell lines

  • Susan Fanayan
  • , Joshua T Smith
  • , Manveen K Sethi
  • , David Cantor
  • , Robert Goode
  • , Richard J Simpson
  • , Mark S Baker
  • , William Hancock
  • , Edouard Nice

Research output: Contribution to journalArticleResearchpeer-review

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 languageEnglish
Pages (from-to)89 - 96
Number of pages8
JournalJournal of Proteome Research
Volume12
Issue number1
DOIs
Publication statusPublished - 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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