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Data from a comparative proteomic analysis of tumor-derived lung-cancer CD105(+) endothelial cells
Increasing evidence indicates that tumor-derived endothelial cells (TECs) are more relevant for the study of tumor angiogenesis and for screening antiangiogenic drugs than normal ECs (NECs). In this data article, high-purity (>98%) primary CD105(+) NECs and TECs purified from a mouse Lewis lung c...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818351/ https://www.ncbi.nlm.nih.gov/pubmed/27081670 http://dx.doi.org/10.1016/j.dib.2016.03.062 |
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author | Jin, Hongwei Cheng, Xiao Pei, Yihua Fu, Jianguo Lyu, Zhi Peng, Huifang Yao, Qin Jiang, Yu Luo, Lianzhong Zhuo, Huiqin |
author_facet | Jin, Hongwei Cheng, Xiao Pei, Yihua Fu, Jianguo Lyu, Zhi Peng, Huifang Yao, Qin Jiang, Yu Luo, Lianzhong Zhuo, Huiqin |
author_sort | Jin, Hongwei |
collection | PubMed |
description | Increasing evidence indicates that tumor-derived endothelial cells (TECs) are more relevant for the study of tumor angiogenesis and for screening antiangiogenic drugs than normal ECs (NECs). In this data article, high-purity (>98%) primary CD105(+) NECs and TECs purified from a mouse Lewis lung carcinoma model bearing 0.5 cm tumors were identified using 2D-PAGE and Matrix-assisted laser desorption/ionization tandem mass spectrometry (MALDI-MS/MS). All the identified proteins were categorized functionally by Gene Ontology (GO) analysis, and gene-pathway annotated by Kyoto Encyclopedia of Genes and Genomes (KEGG). Finally, protein–protein interaction networks were also built. The proteomics and bioinformatics data presented here provide novel insights into the molecular characteristics and the early modulation of the TEC proteome in the tumor microenvironment. |
format | Online Article Text |
id | pubmed-4818351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-48183512016-04-14 Data from a comparative proteomic analysis of tumor-derived lung-cancer CD105(+) endothelial cells Jin, Hongwei Cheng, Xiao Pei, Yihua Fu, Jianguo Lyu, Zhi Peng, Huifang Yao, Qin Jiang, Yu Luo, Lianzhong Zhuo, Huiqin Data Brief Data Article Increasing evidence indicates that tumor-derived endothelial cells (TECs) are more relevant for the study of tumor angiogenesis and for screening antiangiogenic drugs than normal ECs (NECs). In this data article, high-purity (>98%) primary CD105(+) NECs and TECs purified from a mouse Lewis lung carcinoma model bearing 0.5 cm tumors were identified using 2D-PAGE and Matrix-assisted laser desorption/ionization tandem mass spectrometry (MALDI-MS/MS). All the identified proteins were categorized functionally by Gene Ontology (GO) analysis, and gene-pathway annotated by Kyoto Encyclopedia of Genes and Genomes (KEGG). Finally, protein–protein interaction networks were also built. The proteomics and bioinformatics data presented here provide novel insights into the molecular characteristics and the early modulation of the TEC proteome in the tumor microenvironment. Elsevier 2016-03-22 /pmc/articles/PMC4818351/ /pubmed/27081670 http://dx.doi.org/10.1016/j.dib.2016.03.062 Text en © 2016 Elsevier Inc. 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 Jin, Hongwei Cheng, Xiao Pei, Yihua Fu, Jianguo Lyu, Zhi Peng, Huifang Yao, Qin Jiang, Yu Luo, Lianzhong Zhuo, Huiqin Data from a comparative proteomic analysis of tumor-derived lung-cancer CD105(+) endothelial cells |
title | Data from a comparative proteomic analysis of tumor-derived lung-cancer CD105(+) endothelial cells |
title_full | Data from a comparative proteomic analysis of tumor-derived lung-cancer CD105(+) endothelial cells |
title_fullStr | Data from a comparative proteomic analysis of tumor-derived lung-cancer CD105(+) endothelial cells |
title_full_unstemmed | Data from a comparative proteomic analysis of tumor-derived lung-cancer CD105(+) endothelial cells |
title_short | Data from a comparative proteomic analysis of tumor-derived lung-cancer CD105(+) endothelial cells |
title_sort | data from a comparative proteomic analysis of tumor-derived lung-cancer cd105(+) endothelial cells |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818351/ https://www.ncbi.nlm.nih.gov/pubmed/27081670 http://dx.doi.org/10.1016/j.dib.2016.03.062 |
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