Proteomic analysis of colon and rectal carcinoma using standard and customized databases

Robbert J.C. Slebos, Xia Wang, Xaojing Wang, Bing Zhang, David L. Tabb, Daniel C. Liebler

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Understanding proteomic differences underlying the different phenotypic classes of colon and rectal carcinoma is important and may eventually lead to a better assessment of clinical behavior of these cancers. We here present a comprehensive description of the proteomic data obtained from 90 colon and rectal carcinomas previously subjected to genomic analysis by The Cancer Genome Atlas (TCGA). Here, the primary instrument files and derived secondary data files are compiled and presented in forms that will allow further analyses of the biology of colon and rectal carcinoma. We also discuss new challenges in processing these large proteomic datasets for relevant proteins and protein variants.

Original languageEnglish (US)
Article number150022
JournalScientific Data
Volume2
DOIs
StatePublished - Jun 23 2015
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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