Cargando…
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...
Autores principales: | , , , , , , , , , , , |
---|---|
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 |
_version_ | 1782392859552382976 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4589833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT xingxiaohua datasetforthequantitativeproteomicsanalysisoftheprimaryhepatocellularcarcinomawithsingleandmultiplelesions AT huangyao datasetforthequantitativeproteomicsanalysisoftheprimaryhepatocellularcarcinomawithsingleandmultiplelesions AT wangsen datasetforthequantitativeproteomicsanalysisoftheprimaryhepatocellularcarcinomawithsingleandmultiplelesions AT chiminhui datasetforthequantitativeproteomicsanalysisoftheprimaryhepatocellularcarcinomawithsingleandmultiplelesions AT zengyongyi datasetforthequantitativeproteomicsanalysisoftheprimaryhepatocellularcarcinomawithsingleandmultiplelesions AT chenlihong datasetforthequantitativeproteomicsanalysisoftheprimaryhepatocellularcarcinomawithsingleandmultiplelesions AT liling datasetforthequantitativeproteomicsanalysisoftheprimaryhepatocellularcarcinomawithsingleandmultiplelesions AT zengjinhua datasetforthequantitativeproteomicsanalysisoftheprimaryhepatocellularcarcinomawithsingleandmultiplelesions AT linminjie datasetforthequantitativeproteomicsanalysisoftheprimaryhepatocellularcarcinomawithsingleandmultiplelesions AT hanxiao datasetforthequantitativeproteomicsanalysisoftheprimaryhepatocellularcarcinomawithsingleandmultiplelesions AT liujingfeng datasetforthequantitativeproteomicsanalysisoftheprimaryhepatocellularcarcinomawithsingleandmultiplelesions AT liuxiaolong datasetforthequantitativeproteomicsanalysisoftheprimaryhepatocellularcarcinomawithsingleandmultiplelesions |