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Dataset for the quantitative proteomics analysis of the primary hepatocellular carcinoma with single and multiple lesions

Hepatocellular Carcinoma (HCC) is one of the most common malignant tumor, which is causing the second leading cancer-related death worldwide. The tumor tissues and the adjacent noncancerous tissues obtained from HCC patients with single and multiple lesions were quantified using iTRAQ. A total of 55...

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Autores principales: Xing, Xiaohua, Huang, Yao, Wang, Sen, Chi, Minhui, Zeng, Yongyi, Chen, Lihong, Li, Ling, Zeng, Jinhua, Lin, Minjie, Han, Xiao, Liu, Jingfeng, Liu, Xiaolong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4589833/
https://www.ncbi.nlm.nih.gov/pubmed/26543886
http://dx.doi.org/10.1016/j.dib.2015.08.036
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author Xing, Xiaohua
Huang, Yao
Wang, Sen
Chi, Minhui
Zeng, Yongyi
Chen, Lihong
Li, Ling
Zeng, Jinhua
Lin, Minjie
Han, Xiao
Liu, Jingfeng
Liu, Xiaolong
author_facet Xing, Xiaohua
Huang, Yao
Wang, Sen
Chi, Minhui
Zeng, Yongyi
Chen, Lihong
Li, Ling
Zeng, Jinhua
Lin, Minjie
Han, Xiao
Liu, Jingfeng
Liu, Xiaolong
author_sort Xing, Xiaohua
collection PubMed
description Hepatocellular Carcinoma (HCC) is one of the most common malignant tumor, which is causing the second leading cancer-related death worldwide. The tumor tissues and the adjacent noncancerous tissues obtained from HCC patients with single and multiple lesions were quantified using iTRAQ. A total of 5513 proteins (FDR of 1%) were identified which correspond to roughly 27% of the total liver proteome. And 107 and 330 proteins were dysregulated in HCC tissue with multiple lesions (MC group) and HCC tissue with a single lesion (SC group), compared with their noncancerous tissue (MN and SN group) respectively. Bioinformatics analysis (GO, KEGG and IPA) allowed these data to be organized into distinct categories. The data accompanying the manuscript on this approach (Xing et al., J. Proteomics (2015), http://dx.doi.org/10.1016/j.jprot.2015.08.007[1]) have been deposited to the iProX with identifier IPX00037601.
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spelling pubmed-45898332015-11-05 Dataset for the quantitative proteomics analysis of the primary hepatocellular carcinoma with single and multiple lesions Xing, Xiaohua Huang, Yao Wang, Sen Chi, Minhui Zeng, Yongyi Chen, Lihong Li, Ling Zeng, Jinhua Lin, Minjie Han, Xiao Liu, Jingfeng Liu, Xiaolong Data Brief Data Article Hepatocellular Carcinoma (HCC) is one of the most common malignant tumor, which is causing the second leading cancer-related death worldwide. The tumor tissues and the adjacent noncancerous tissues obtained from HCC patients with single and multiple lesions were quantified using iTRAQ. A total of 5513 proteins (FDR of 1%) were identified which correspond to roughly 27% of the total liver proteome. And 107 and 330 proteins were dysregulated in HCC tissue with multiple lesions (MC group) and HCC tissue with a single lesion (SC group), compared with their noncancerous tissue (MN and SN group) respectively. Bioinformatics analysis (GO, KEGG and IPA) allowed these data to be organized into distinct categories. The data accompanying the manuscript on this approach (Xing et al., J. Proteomics (2015), http://dx.doi.org/10.1016/j.jprot.2015.08.007[1]) have been deposited to the iProX with identifier IPX00037601. Elsevier 2015-09-08 /pmc/articles/PMC4589833/ /pubmed/26543886 http://dx.doi.org/10.1016/j.dib.2015.08.036 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Xing, Xiaohua
Huang, Yao
Wang, Sen
Chi, Minhui
Zeng, Yongyi
Chen, Lihong
Li, Ling
Zeng, Jinhua
Lin, Minjie
Han, Xiao
Liu, Jingfeng
Liu, Xiaolong
Dataset for the quantitative proteomics analysis of the primary hepatocellular carcinoma with single and multiple lesions
title Dataset for the quantitative proteomics analysis of the primary hepatocellular carcinoma with single and multiple lesions
title_full Dataset for the quantitative proteomics analysis of the primary hepatocellular carcinoma with single and multiple lesions
title_fullStr Dataset for the quantitative proteomics analysis of the primary hepatocellular carcinoma with single and multiple lesions
title_full_unstemmed Dataset for the quantitative proteomics analysis of the primary hepatocellular carcinoma with single and multiple lesions
title_short Dataset for the quantitative proteomics analysis of the primary hepatocellular carcinoma with single and multiple lesions
title_sort dataset for the quantitative proteomics analysis of the primary hepatocellular carcinoma with single and multiple lesions
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4589833/
https://www.ncbi.nlm.nih.gov/pubmed/26543886
http://dx.doi.org/10.1016/j.dib.2015.08.036
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