首页> 美国卫生研究院文献>Oncotarget >Aberration hubs in protein interaction networks highlight actionable targets in cancer
【2h】

Aberration hubs in protein interaction networks highlight actionable targets in cancer

机译:蛋白质相互作用网络中的像差中心突显了癌症中可行的靶标

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。
获取外文期刊封面目录资料

摘要

Despite efforts for extensive molecular characterization of cancer patients, such as the international cancer genome consortium (ICGC) and the cancer genome atlas (TCGA), the heterogeneous nature of cancer and our limited knowledge of the contextual function of proteins have complicated the identification of targetable genes. Here, we present Aberration Hub Analysis for Cancer (AbHAC) as a novel integrative approach to pinpoint aberration hubs, i.e. individual proteins that interact extensively with genes that show aberrant mutation or expression. Our analysis of the breast cancer data of the TCGA and the renal cancer data from the ICGC shows that aberration hubs are involved in relevant cancer pathways, including factors promoting cell cycle and DNA replication in basal-like breast tumors, and Src kinase and VEGF signaling in renal carcinoma. Moreover, our analysis uncovers novel functionally relevant and actionable targets, among which we have experimentally validated abnormal splicing of spleen tyrosine kinase as a key factor for cell proliferation in renal cancer. Thus, AbHAC provides an effective strategy to uncover novel disease factors that are only identifiable by examining mutational and expression data in the context of biological networks.
机译:尽管国际癌症基因组联盟(ICGC)和癌症基因组图谱(TCGA)等癌症患者进行了广泛的分子表征,但癌症的异质性以及我们对蛋白质背景功能的了解有限,使可靶向靶标的鉴定变得复杂基因。在这里,我们介绍了针对癌症的畸变集线器分析(AbHAC),这是一种新颖的整合方法,可精确定位畸变集线器,即与显示异常突变或表达的基因广泛相互作用的单个蛋白质。我们对TCGA乳腺癌数据和ICGC肾癌数据的分析表明,畸变中心参与了相关的癌症途径,包括促进基底样乳腺癌中细胞周期和DNA复制的因子,以及Src激酶和VEGF信号传导在肾癌中。此外,我们的分析发现了新的功能相关和可操作的目标,其中我们已经实验验证脾酪氨酸激酶的异常剪接作为肾癌细胞增殖的关键因素。因此,AbHAC提供了一种有效的策略来发现只有通过在生物网络中检查突变和表达数据才能确定的新型疾病因素。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号