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

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 an...

Full description

Bibliographic Details
Main Authors:	Slebos, Robbert J.C., Wang, Xia, Wang, Xaojing, Zhang, Bing, Tabb, David L., Liebler, Daniel C.
Format:	Online
Language:	English
Published:	Nature Publishing Group 2015
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477697/

id	pubmed-4477697
recordtype	oai_dc
spelling	pubmed-44776972015-06-24 Proteomic analysis of colon and rectal carcinoma using standard and customized databases Slebos, Robbert J.C. Wang, Xia Wang, Xaojing Zhang, Bing Tabb, David L. Liebler, Daniel C. Data Descriptor 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. Nature Publishing Group 2015-06-23 /pmc/articles/PMC4477697/ /pubmed/26110064 http://dx.doi.org/10.1038/sdata.2015.22 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Slebos, Robbert J.C. Wang, Xia Wang, Xaojing Zhang, Bing Tabb, David L. Liebler, Daniel C.
spellingShingle	Slebos, Robbert J.C. Wang, Xia Wang, Xaojing Zhang, Bing Tabb, David L. Liebler, Daniel C. Proteomic analysis of colon and rectal carcinoma using standard and customized databases
author_facet	Slebos, Robbert J.C. Wang, Xia Wang, Xaojing Zhang, Bing Tabb, David L. Liebler, Daniel C.
author_sort	Slebos, Robbert J.C.
title	Proteomic analysis of colon and rectal carcinoma using standard and customized databases
title_short	Proteomic analysis of colon and rectal carcinoma using standard and customized databases
title_full	Proteomic analysis of colon and rectal carcinoma using standard and customized databases
title_fullStr	Proteomic analysis of colon and rectal carcinoma using standard and customized databases
title_full_unstemmed	Proteomic analysis of colon and rectal carcinoma using standard and customized databases
title_sort	proteomic analysis of colon and rectal carcinoma using standard and customized databases
description	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.
publisher	Nature Publishing Group
publishDate	2015
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477697/
_version_	1613239219256295424

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

Similar Items