A comprehensive overview of lncRNA annotation resources

Jinyuan Xu(Harbin Medical University), Jing Bai(Harbin Medical University), Xinxin Zhang(Harbin Medical University), Yanling Lv(Harbin Medical University), Yonghui Gong(Harbin Medical University), Ling Liu(Harbin Medical University), Hongying Zhao(Harbin Medical University), Fulong Yu(Harbin Medical University), Yanyan Ping(Harbin Medical University), Guanxiong Zhang(Harbin Medical University), Yujia Lan(Harbin Medical University), Yun Xiao(Harbin Medical University), Xia Li(Harbin Medical University)
Briefings in Bioinformatics
March 4, 2016
Cited by 150Open Access
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Abstract

Long noncoding RNAs (lncRNAs) are emerging as a class of important regulators participating in various biological functions and disease processes. With the widespread application of next-generation sequencing technologies, large numbers of lncRNAs have been identified, producing plenty of lncRNA annotation resources in different contexts. However, at present, we lack a comprehensive overview of these lncRNA annotation resources. In this study, we reviewed 24 currently available lncRNA annotation resources referring to > 205 000 lncRNAs in over 50 tissues and cell lines. We characterized these annotation resources from different aspects, including exon structure, expression, histone modification and function. We found many distinct properties among these annotation resources. Especially, these resources showed diverse chromatin signatures, remarkable tissue and cell type dependence and functional specificity. Our results suggested the incompleteness and complementarity of current lncRNA annotations and the necessity of integration of multiple resources to comprehensively characterize lncRNAs. Finally, we developed 'LNCat' (lncRNA atlas, freely available at http://biocc.hrbmu.edu.cn/LNCat/), a user-friendly database that provides a genome browser of lncRNA structures, visualization of different resources from multiple angles and download of different combinations of lncRNA annotations, and supports rapid exploration, comparison and integration of lncRNA annotation resources. Overall, our study provides a comprehensive comparison of numerous lncRNA annotations, and can facilitate understanding of lncRNAs in human disease.


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