| Literature DB >> 27634459 |
Peizhan Chen1, Xiaohua Duan1, Mian Li1, Chao Huang1, Jingquan Li2, Ruiai Chu2, Hao Ying2, Haiyun Song2, Xudong Jia3, Qian Ba4, Hui Wang5.
Abstract
Cadmium has been defined as type I carcinogen for humans, but the underlying mechanisms of its carcinogenic activity and its influence on protein-protein interactions in cells are not fully elucidated. The aim of the current study was to evaluate, systematically, the carcinogenic activity of cadmium with systems biology approaches. From a literature search of 209 studies that performed with cellular models, 208 proteins influenced by cadmium exposure were identified. All of these were assessed by Western blotting and were recognized as key nodes in network analyses. The protein-protein functional interaction networks were constructed with NetBox software and visualized with Cytoscape software. These cadmium-rewired genes were used to construct a scale-free, highly connected biological protein interaction network with 850 nodes and 8770 edges. Of the network, nine key modules were identified and 60 key signaling pathways, including the estrogen, RAS, PI3K-Akt, NF-κB, HIF-1α, Jak-STAT, and TGF-β signaling pathways, were significantly enriched. With breast cancer, colorectal and prostate cancer cellular models, we validated the key node genes in the network that had been previously reported or inferred form the network by Western blotting methods, including STAT3, JNK, p38, SMAD2/3, P65, AKT1, and HIF-1α. These results suggested the established network was robust and provided a systematic view of the carcinogenic activities of cadmium in human.Entities:
Keywords: Cadmium; Carcinogenesis; Network assessment
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Year: 2016 PMID: 27634459 DOI: 10.1016/j.taap.2016.09.006
Source DB: PubMed Journal: Toxicol Appl Pharmacol ISSN: 0041-008X Impact factor: 4.219