Systematic study of human long intergenic non-coding RNAs and their impact on cancer

被引:34
|
作者
Sun Liang [1 ]
Luo HaiTao [2 ]
Liao Qi [3 ]
Bu DeChao [2 ]
Zhao GuoGuang [2 ]
Liu ChangNing [2 ]
Liu YuanNing [1 ]
Zhao Yi [2 ]
机构
[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China
[2] Chinese Acad Sci, Inst Comp Technol, Adv Comp Res Lab, Bioinformat Res Grp, Beijing 100190, Peoples R China
[3] Ningbo Univ, Sch Med, Dept Prevent Med, Ningbo 315211, Zhejiang, Peoples R China
基金
北京市自然科学基金;
关键词
lincRNA; identification; functional annotation; cancer; GENE COEXPRESSION NETWORK; FUNCTIONAL ANNOTATION; CHROMATIN; TRANSCRIPTS; EXPRESSION; DATABASE; REVEALS; SEQ;
D O I
10.1007/s11427-013-4460-x
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The functional impact of several long intergenic non-coding RNAs (lincRNAs) has been characterized in previous studies. However, it is difficult to identify lincRNAs on a large-scale and to ascertain their functions or predict their structures in laboratory experiments because of the diversity, lack of knowledge and specificity of expression of lincRNAs. Furthermore, although there are a few well-characterized examples of lincRNAs associated with cancers, these are just the tip of the iceberg owing to the complexity of cancer. Here, by combining RNA-Seq data from several kinds of human cell lines with chromatin-state maps and human expressed sequence tags, we successfully identified more than 3000 human lincRNAs, most of which were new ones. Subsequently, we predicted the functions of 105 lincRNAs based on a coding-non-coding gene co-expression network. Finally, we propose a genetic mediator and key regulator model to unveil the subtle relationships between lincRNAs and lung cancer. Twelve lincRNAs may be principal players in lung tumorigenesis. The present study combines large-scale identification and functional prediction of human lincRNAs, and is a pioneering work in characterizing cancer-associated lincRNAs by bioinformatics.
引用
收藏
页码:324 / 334
页数:11
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