中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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
DOI10.1016/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,
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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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