论文库首页  论文库
 
论文编号:
论文题目: Identification of Genes Associated with Breast Cancer Metastasis to Bone on a Protein-Protein Interaction Network with a Shortest Path Algorithm
英文论文题目: Identification of Genes Associated with Breast Cancer Metastasis to Bone on a Protein-Protein Interaction Network with a Shortest Path Algorithm
第一作者: Cai, YD; Zhang, Q; Zhang, YH; Chen, L; Huang, T
英文第一作者: Cai, YD; Zhang, Q; Zhang, YH; Chen, L; Huang, T
联系作者: Huang, T (reprint author), Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Hlth Sci, Shanghai 200031, Peoples R China.
英文联系作者: Huang, T (reprint author), Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Hlth Sci, Shanghai 200031, Peoples R China.
外单位作者单位:
英文外单位作者单位:
发表年度: 2017
卷: 16
期: 2
页码: 1027-1038
摘要: Tumor metastasis is defined as the spread of tumor cells from one organ or part to another that is not directly connected to it, which significantly contributes to the progression and aggravation of tumorigenesis. Because it always involves multiple organs, the metastatic process is difficult to study in its entirety. Complete identification of the genes related to this process is an alternative way to study metastasis. In this study, we developed a computational method to identify such genes. To test our method, we selected breast cancer bone metastasis. A large network was constructed using human protein-protein interactions. On the basis of the validated genes related to breast and bone cancer, a shortest path algorithm was applied to the network to search for novel genes that may mediate breast cancer metastasis to bone. In addition, further rules constructed using the permutation FDR, the betweenness ratio, and the maxmin interaction score were also employed in the method to make the inferred genes more reliable. Eighteen putative genes were identified by the method and were extensively analyzed. The confirmation results indicate that these genes participate in metastasis.
英文摘要: Tumor metastasis is defined as the spread of tumor cells from one organ or part to another that is not directly connected to it, which significantly contributes to the progression and aggravation of tumorigenesis. Because it always involves multiple organs, the metastatic process is difficult to study in its entirety. Complete identification of the genes related to this process is an alternative way to study metastasis. In this study, we developed a computational method to identify such genes. To test our method, we selected breast cancer bone metastasis. A large network was constructed using human protein-protein interactions. On the basis of the validated genes related to breast and bone cancer, a shortest path algorithm was applied to the network to search for novel genes that may mediate breast cancer metastasis to bone. In addition, further rules constructed using the permutation FDR, the betweenness ratio, and the maxmin interaction score were also employed in the method to make the inferred genes more reliable. Eighteen putative genes were identified by the method and were extensively analyzed. The confirmation results indicate that these genes participate in metastasis.
刊物名称: JOURNAL OF PROTEOME RESEARCH
英文刊物名称: JOURNAL OF PROTEOME RESEARCH
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: Biochemical Research Methods
英文学科: Biochemical Research Methods
影响因子: 4.268
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