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药物敏感性基因网络的全局视图。

Global view of a drug-sensitivity gene network.

作者信息

Yang Haixiu, Zhang Yunpeng, Wang Jiasheng, Wu Tan, Liu Siyao, Xu Yanjun, Shang Desi

机构信息

College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.

出版信息

Oncotarget. 2017 Dec 14;9(3):3254-3266. doi: 10.18632/oncotarget.23229. eCollection 2018 Jan 9.

Abstract

An important challenge in drug development is to gain insight into the mechanism of drug sensitivity. Looking for insights into the global relationships between drugs and their sensitivity genes would be expected to reveal mechanism of drug sensitivity. Here we constructed a drug-sensitivity gene network (DSGN) based on the relationships between drugs and their sensitivity genes, using drug screened genomic data from the NCI-60 cell line panel, including 181 drugs and 1057 sensitivity genes, and 1646 associations between them. Through network analysis, we found that two drugs that share the same sensitivity genes tend to share the same Anatomical Therapeutic Chemical classification and side effects. We then found that the sensitivity genes of same drugs tend to cluster together in the human interactome and participate in the same biological function modules (pathways). Finally, we noticed that the sensitivity genes and target genes of the same drug have a significant dense distance in the human interactome network and they were functionally related. For example, target genes such as epidermal growth factor receptor gene can activate downstream sensitivity genes of the same drug in the PI3K/Akt pathway. Thus, the DSGN would provide great insights into the mechanism of drug sensitivity.

摘要

药物研发中的一个重要挑战是深入了解药物敏感性机制。探寻药物与其敏感性基因之间的整体关系有望揭示药物敏感性机制。在此,我们基于药物与其敏感性基因之间的关系构建了一个药物敏感性基因网络(DSGN),使用了来自NCI - 60细胞系面板的药物筛选基因组数据,其中包括181种药物和1057个敏感性基因,以及它们之间的1646个关联。通过网络分析,我们发现共享相同敏感性基因的两种药物往往具有相同的解剖治疗化学分类和副作用。然后我们发现同一药物的敏感性基因倾向于在人类相互作用组中聚集在一起,并参与相同的生物学功能模块(通路)。最后,我们注意到同一药物的敏感性基因和靶基因在人类相互作用组网络中具有显著的紧密距离,并且它们在功能上相关。例如,表皮生长因子受体基因等靶基因可在PI3K/Akt通路中激活同一药物的下游敏感性基因。因此,DSGN将为药物敏感性机制提供深刻见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19a9/5790461/1b07aecdc64c/oncotarget-09-3254-g001.jpg

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