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Sci Data. 2015 Jun 23;2:150022. doi: 10.1038/sdata.2015.22. eCollection 2015.

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

Author information

1
Department of Biochemistry, Vanderbilt University School of Medicine , Nashville, TN 37232, USA ; Jim Ayers Institute for Precancer Detection and Diagnosis, Vanderbilt-Ingram Cancer Center , Nashville, TN 37232, USA.
2
Department of Mathematical Sciences, University of Cincinnati , Cincinnati, OH 45221, USA.
3
Department of Biomedical Informatics, Vanderbilt University School of Medicine , Nashville, TN 37232, USA.

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.

PMID:
26110064
PMCID:
PMC4477697
DOI:
10.1038/sdata.2015.22
[Indexed for MEDLINE]
Free PMC Article

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