4.7 Article

A comprehensive overview of lncRNA annotation resources

Journal

BRIEFINGS IN BIOINFORMATICS
Volume 18, Issue 2, Pages 236-249

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bib/bbw015

Keywords

lncRNA; annotation resource; integration; database

Funding

  1. National High Technology Research and Development Program of China [863 Program] [2014AA021102]
  2. National Program on Key Basic Research Project [973 Program] [2014CB910504]
  3. National Natural Science Foundation of China [91439117, 61473106, 61573122, 31200997]
  4. National Science Foundation of Heilongjiang Province [C201207]
  5. Harbin medical university [WLD-QN1407]
  6. Key Laboratory of Cardiovascular Medicine Research (Harbin Medical University), Ministry of Education

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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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