IR@PKUHSC  > 北京大学基础医学院
学科主题基础医学
Predicting Abdominal Aortic Aneurysm Target Genes by Level-2 Protein-Protein Interaction
Zhang, Kexin1,2; Li, Tuoyi1,2; Fu, Yi1,2; Cui, Qinghua3; Kong, Wei1,2
刊名PLOS ONE
2015-10-23
DOI10.1371/journal.pone.0140888
10期:10
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Multidisciplinary Sciences
资助者National Program on Key Basic Research Projects (973 Program) ; National Natural Science Foundation of the P. R. China ; National Science Fund for distinguished Young Scholars ; International Cooperation and Exchanges NSFC ; "111" Project of Chinese Ministry of Education ; National Program on Key Basic Research Projects (973 Program) ; National Natural Science Foundation of the P. R. China ; National Science Fund for distinguished Young Scholars ; International Cooperation and Exchanges NSFC ; "111" Project of Chinese Ministry of Education
研究领域[WOS]Science & Technology - Other Topics
关键词[WOS]SUPPORT VECTOR MACHINES ; TGF-BETA RECEPTOR ; KINASE C-DELTA ; INTERACTION NETWORKS ; TOPOLOGICAL FEATURES ; DISEASE-GENES ; PATHOGENESIS ; EXPRESSION ; MODELS ; IDENTIFICATION
英文摘要

Abdominal aortic aneurysm (AAA) is frequently lethal and has no effective pharmaceutical treatment, posing a great threat to human health. Previous bioinformatics studies of the mechanisms underlying AAA relied largely on the detection of direct protein-protein interactions (level-1 PPI) between the products of reported AAA-related genes. Thus, some proteins not suspected to be directly linked to previously reported genes of pivotal importance to AAA might have been missed. In this study, we constructed an indirect protein-protein interaction (level-2 PPI) network based on common interacting proteins encoded by known AAA-related genes and successfully predicted previously unreported AAA-related genes using this network. We used four methods to test and verify the performance of this level-2 PPI network: cross validation, human AAA mRNA chip array comparison, literature mining, and verification in a mouse CaPO4 AAA model. We confirmed that the new level-2 PPI network is superior to the original level-1 PPI network and proved that the top 100 candidate genes predicted by the level-2 PPI network shared similar GO functions and KEGG pathways compared with positive genes.

语种英语
所属项目编号2010CB912504 ; 2012CB518002 ; 81121061 ; 91339000 ; 81225002 ; 81220108004 ; B07001
资助者National Program on Key Basic Research Projects (973 Program) ; National Natural Science Foundation of the P. R. China ; National Science Fund for distinguished Young Scholars ; International Cooperation and Exchanges NSFC ; "111" Project of Chinese Ministry of Education ; National Program on Key Basic Research Projects (973 Program) ; National Natural Science Foundation of the P. R. China ; National Science Fund for distinguished Young Scholars ; International Cooperation and Exchanges NSFC ; "111" Project of Chinese Ministry of Education
WOS记录号WOS:000363309200037
Citation statistics
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/62485
Collection北京大学基础医学院
作者单位1.Minist Educ, Key Lab Mol Cardiovasc Sci, Beijing, Peoples R China
2.Peking Univ, Sch Basic Med Sci, Dept Physiol & Pathophysiol, Beijing 100871, Peoples R China
3.Peking Univ, Sch Basic Med Sci, Dept Bioinformat, Beijing 100871, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Kexin,Li, Tuoyi,Fu, Yi,et al. Predicting Abdominal Aortic Aneurysm Target Genes by Level-2 Protein-Protein Interaction[J]. PLOS ONE,2015,10(10).
APA Zhang, Kexin,Li, Tuoyi,Fu, Yi,Cui, Qinghua,&Kong, Wei.(2015).Predicting Abdominal Aortic Aneurysm Target Genes by Level-2 Protein-Protein Interaction.PLOS ONE,10(10).
MLA Zhang, Kexin,et al."Predicting Abdominal Aortic Aneurysm Target Genes by Level-2 Protein-Protein Interaction".PLOS ONE 10.10(2015).
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