论文库首页  论文库
 
论文编号:
论文题目: Identification of novel candidate drivers connecting different dysfunctional levels for lung adenocarcinoma using protein-protein interactions and a shortest path approach
英文论文题目: Identification of novel candidate drivers connecting different dysfunctional levels for lung adenocarcinoma using protein-protein interactions and a shortest path approach
第一作者: Chen, L; Huang, T; Zhang, YH; Jiang, Y; Zheng, MY; Cai, YD
英文第一作者: Chen, L; Huang, T; Zhang, YH; Jiang, Y; Zheng, MY; Cai, YD
联系作者: Cai, YD (reprint author), Shanghai Univ, Sch Life Sci, Shanghai 200444, Peoples R China.
英文联系作者: Cai, YD (reprint author), Shanghai Univ, Sch Life Sci, Shanghai 200444, Peoples R China.
外单位作者单位:
英文外单位作者单位:
发表年度: 2016
卷: 6
期:
页码: 29849
摘要: Tumors are formed by the abnormal proliferation of somatic cells with disordered growth regulation under the influence of tumorigenic factors. Recently, the theory of "cancer drivers" connects tumor initiation with several specific mutations in the so-called cancer driver genes. According to the differentiation of four basic levels between tumor and adjacent normal tissues, the cancer drivers can be divided into the following: (1) Methylation level, (2) microRNA level, (3) mutation level, and (4) mRNA level. In this study, a computational method is proposed to identify novel lung adenocarcinoma drivers based on dysfunctional genes on the methylation, microRNA, mutation and mRNA levels. First, a large network was constructed using protein-protein interactions. Next, we searched all of the shortest paths connecting dysfunctional genes on different levels and extracted new candidate genes lying on these paths. Finally, the obtained candidate genes were filtered by a permutation test and an additional strict selection procedure involving a betweenness ratio and an interaction score. Several candidate genes remained, which are deemed to be related to two different levels of cancer. The analyses confirmed our assertions that some have the potential to contribute to the tumorigenesis process on multiple levels.
英文摘要: Tumors are formed by the abnormal proliferation of somatic cells with disordered growth regulation under the influence of tumorigenic factors. Recently, the theory of "cancer drivers" connects tumor initiation with several specific mutations in the so-called cancer driver genes. According to the differentiation of four basic levels between tumor and adjacent normal tissues, the cancer drivers can be divided into the following: (1) Methylation level, (2) microRNA level, (3) mutation level, and (4) mRNA level. In this study, a computational method is proposed to identify novel lung adenocarcinoma drivers based on dysfunctional genes on the methylation, microRNA, mutation and mRNA levels. First, a large network was constructed using protein-protein interactions. Next, we searched all of the shortest paths connecting dysfunctional genes on different levels and extracted new candidate genes lying on these paths. Finally, the obtained candidate genes were filtered by a permutation test and an additional strict selection procedure involving a betweenness ratio and an interaction score. Several candidate genes remained, which are deemed to be related to two different levels of cancer. The analyses confirmed our assertions that some have the potential to contribute to the tumorigenesis process on multiple levels.
刊物名称: SCIENTIFIC REPORTS
英文刊物名称: SCIENTIFIC REPORTS
论文全文:
英文论文全文:
全文链接:
其它备注:
英文其它备注:
学科: Multidisciplinary Sciences
英文学科: Multidisciplinary Sciences
影响因子: 4.259
第一作者所在部门:
英文第一作者所在部门:
论文出处:
英文论文出处:
论文类别: Article
英文论文类别: Article
参与作者:
英文参与作者:
 
2014 中国科学院上海生命科学研究院 版权所有