Daniel Liebler
Faculty Member
Last active: 2/15/2016

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

Slebos RJ, Wang X, Wang X, Wang X, Zhang B, Tabb DL, Liebler DC
Sci Data. 2015 2: 150022

PMID: 26110064 · PMCID: PMC4477697 · DOI:10.1038/sdata.2015.22

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.

MeSH Terms (6)

Colonic Neoplasms Databases, Protein Electronic Data Processing Humans Proteomics Rectal Neoplasms

Connections (3)

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