Inferring Novel Tumor Suppressor Genes with a Protein-Protein Interaction Network and Network Diffusion Algorithms
文献类型:期刊论文
作者 | Chen, Lei3,4; Zhang, Yu-Hang3; Huang, Tao3; Zhang, Zhenghua1; Cai, Yu-Dong2; , |
刊名 | MOLECULAR THERAPY-METHODS & CLINICAL DEVELOPMENT
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出版日期 | 2018 |
卷号 | 10期号:-页码:57-67 |
关键词 | microRNA sponge young noncoding RNA co-evolution tumorigenesis |
ISSN号 | 2329-0501 |
DOI | 10.1016/j.omtm.2018.06.007 |
文献子类 | Article |
英文摘要 | Extensive studies on tumor suppressor genes (TSGs) are helpful to understand the pathogenesis of cancer and design effective treatments. However, identifying TSGs using traditional experiments is quite difficult and time consuming. Developing computational methods to identify possible TSGs is an alternative way. In this study, we proposed two computational methods that integrated two network diffusion algorithms, including Laplacian heat diffusion (LHD) and random walk with restart (RWR), to search possible genes in the whole network. These two computational methods were LHD-based and RWR-based methods. To increase the reliability of the putative genes, three strict screening tests followed to filter genes obtained by these two algorithms. After comparing the putative genes obtained by the two methods, we designated twelve genes (e.g., MAP3K10, RND1, and OTX2) as common genes, 29 genes (e.g., RFC2 and GUCY2F) as genes that were identified only by the LHD-based method, and 128 genes (e.g., SNAI2 and FGF4) as genes that were inferred only by the RWR-based method. Some obtained genes can be confirmed as novel TSGs according to recent publications, suggesting the utility of our two proposed methods. In addition, the reported genes in this study were quite different from those reported in a previous one. |
学科主题 | Research & Experimental Medicine |
WOS关键词 | CELL-PROLIFERATION ; BREAST-CANCER ; EXPRESSION ; ASSOCIATION ; MUTATIONS ; APOPTOSIS ; RECEPTOR ; COMPLEX ; DIFFERENTIATION ; SPECIFICATION |
语种 | 英语 |
WOS记录号 | WOS:000451115100007 |
出版者 | CELL PRESS |
版本 | 出版稿 |
源URL | [http://202.127.25.144/handle/331004/876] ![]() |
专题 | 中国科学院上海生命科学研究院营养科学研究所 |
作者单位 | 1.Fudan Univ, Huashan Hosp, Jingan Dist Ctr Hosp Shanghai, Jingan Branch,Dept Clin Oncol, Shanghai 200040, Peoples R China; 2.Shanghai Univ, Sch Life Sci, Shanghai 200444, Peoples R China; 3.Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Hlth Sci, Shanghai 200031, Peoples R China; 4.Shanghai Maritime Univ, Coll Informat Engn, Shanghai 201306, Peoples R China, |
推荐引用方式 GB/T 7714 | Chen, Lei,Zhang, Yu-Hang,Huang, Tao,et al. Inferring Novel Tumor Suppressor Genes with a Protein-Protein Interaction Network and Network Diffusion Algorithms[J]. MOLECULAR THERAPY-METHODS & CLINICAL DEVELOPMENT,2018,10(-):57-67. |
APA | Chen, Lei,Zhang, Yu-Hang,Huang, Tao,Zhang, Zhenghua,Cai, Yu-Dong,&,.(2018).Inferring Novel Tumor Suppressor Genes with a Protein-Protein Interaction Network and Network Diffusion Algorithms.MOLECULAR THERAPY-METHODS & CLINICAL DEVELOPMENT,10(-),57-67. |
MLA | Chen, Lei,et al."Inferring Novel Tumor Suppressor Genes with a Protein-Protein Interaction Network and Network Diffusion Algorithms".MOLECULAR THERAPY-METHODS & CLINICAL DEVELOPMENT 10.-(2018):57-67. |
入库方式: OAI收割
来源:上海营养与健康研究所
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