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

doi:10.1038/sdata.2015.22

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 journal › Article › peer-review

21 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 language	English (US)
Article number	150022
Journal	Scientific Data
Volume	2
DOIs	https://doi.org/10.1038/sdata.2015.22
State	Published - Jun 23 2015
Externally published	Yes

ASJC Scopus subject areas

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

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10.1038/sdata.2015.22

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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.",

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AU - Tabb, David L.

AU - Liebler, Daniel C.

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Y1 - 2015/6/23

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AB - 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.

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

Abstract

ASJC Scopus subject areas

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