IR@PKUHSC  > 北京大学基础医学院  > 医学信息学系
学科主题医学信息学
A bioinformatics method for predicting long noncoding RNAs associated with vascular disease
Li JianWei1,2; Gao Cheng3,4; Wang YuChen1,3,4; Ma Wei2,3,4; Tu Jian2,3,4; Wang JunPei2,3,4; Chen ZhenZhen2,3,4; Kong Wei3,4; Cui QingHua2,4
关键词vascular disease lncRNAs bioinformatics
刊名SCIENCE CHINA-LIFE SCIENCES
2014-08-01
DOI10.1007/s11427-014-4692-4
57期:8页:852-857
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Biology
研究领域[WOS]Life Sciences & Biomedicine - Other Topics
关键词[WOS]SMOOTH-MUSCLE-CELL ; HUMAN MICRORNA ; DATABASE ; DIFFERENTIATION ; SEQUENCES ; GROWTH ; CANCER
英文摘要

Long noncoding RNAs (lncRNAs) play important roles in human diseases including vascular disease. Given the large number of lncRNAs, however, whether the majority of them are associated with vascular disease remains unknown. For this purpose, here we present a genomic location based bioinformatics method to predict the lncRNAs associated with vascular disease. We applied the presented method to globally screen the human lncRNAs potentially involved in vascular disease. As a result, we predicted 3043 putative vascular disease associated lncRNAs. To test the accuracy of the method, we selected 10 lncRNAs predicted to be implicated in proliferation and migration of vascular smooth muscle cells (VSMCs) for further experimental validation. The results confirmed that eight of the 10 lncRNAs (80%) are validated. This result suggests that the presented method has a reliable prediction performance. Finally, the presented bioinformatics method and the predicted vascular disease associated lncRNAs together may provide helps for not only better understanding of the roles of lncRNAs in vascular disease but also the identification of novel molecules for the diagnosis and therapy of vascular disease.

语种英语
WOS记录号WOS:000340468700015
项目编号91339106 ; 2014AA021102
资助机构National Natural Science Foundation of China ; National High Technology Research and Development Program of China
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
版本出版稿
条目标识符http://ir.bjmu.edu.cn/handle/400002259/67907
专题北京大学基础医学院_医学信息学系
北京大学基础医学院
北京大学第一临床医学院_心血管内科
作者单位1.Hebei Univ Technol, Sch Comp Sci, Lab Translat Biomed Informat, Tianjin 300401, Peoples R China
2.Peking Univ, Sch Basic Med Sci, Dept Biomed Informat, Beijing 100191, Peoples R China
3.Peking Univ, Sch Basic Med Sci, Dept Physiol & Pathophysiol, Beijing 100191, Peoples R China
4.Peking Univ, MOE Key Lab Cardiovasc Sci, Beijing 100191, Peoples R China
推荐引用方式
GB/T 7714
Li JianWei,Gao Cheng,Wang YuChen,et al. A bioinformatics method for predicting long noncoding RNAs associated with vascular disease[J]. SCIENCE CHINA-LIFE SCIENCES,2014,57(8):852-857.
APA Li JianWei.,Gao Cheng.,Wang YuChen.,Ma Wei.,Tu Jian.,...&Cui QingHua.(2014).A bioinformatics method for predicting long noncoding RNAs associated with vascular disease.SCIENCE CHINA-LIFE SCIENCES,57(8),852-857.
MLA Li JianWei,et al."A bioinformatics method for predicting long noncoding RNAs associated with vascular disease".SCIENCE CHINA-LIFE SCIENCES 57.8(2014):852-857.
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