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镉致癌活性的系统网络评估

Systematic network assessment of the carcinogenic activities of cadmium.

作者信息

Chen Peizhan, Duan Xiaohua, Li Mian, Huang Chao, Li Jingquan, Chu Ruiai, Ying Hao, Song Haiyun, Jia Xudong, Ba Qian, Wang Hui

机构信息

Key Laboratory of Food Safety Research, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.

Key Laboratory of Food Safety Research, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China; Key Laboratory of Food Safety Risk Assessment, Ministry of Health, Beijing, China.

出版信息

Toxicol Appl Pharmacol. 2016 Nov 1;310:150-158. doi: 10.1016/j.taap.2016.09.006. Epub 2016 Sep 12.

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.

摘要

镉已被定义为对人类的I类致癌物,但其致癌活性的潜在机制及其对细胞中蛋白质-蛋白质相互作用的影响尚未完全阐明。本研究的目的是用系统生物学方法系统评估镉的致癌活性。通过对209项细胞模型研究的文献检索,确定了208种受镉暴露影响的蛋白质。所有这些蛋白质均通过蛋白质印迹法进行评估,并被认为是网络分析中的关键节点。利用NetBox软件构建蛋白质-蛋白质功能相互作用网络,并用Cytoscape软件进行可视化。这些镉重连基因用于构建一个无标度、高度连接的生物蛋白质相互作用网络,该网络有850个节点和8770条边。在该网络中,鉴定出9个关键模块,60条关键信号通路显著富集,包括雌激素、RAS、PI3K-Akt、NF-κB、HIF-1α、Jak-STAT和TGF-β信号通路。利用乳腺癌、结直肠癌和前列腺癌细胞模型,我们通过蛋白质印迹法验证了网络中先前报道或从网络推断出的关键节点基因,包括STAT3、JNK、p38、SMAD2/3、P65、AKT1和HIF-1α。这些结果表明所建立的网络是可靠的,并提供了镉在人体内致癌活性的系统观点。

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