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学科主题: 医学信息学
题名:
A bioinformatics method for predicting long noncoding RNAs associated with vascular disease
作者: 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
发表日期: 2014-08-01
DOI: 10.1007/s11427-014-4692-4
卷: 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
所属项目编号: 91339106 ; 2014AA021102
项目资助者: National Natural Science Foundation of China ; National High Technology Research and Development Program of China
WOS记录号: WOS:000340468700015
Citation statistics:
内容类型: 期刊论文
版本: 出版稿
URI标识: http://ir.bjmu.edu.cn/handle/400002259/67907
Appears in Collections:基础医学院_医学信息学系_期刊论文

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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

Recommended Citation:
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.
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