LncRNAs (long non-coding RNAs) are pervasively transcribed in the human genome and also extensively involved in a variety of essential biological processes and human diseases. The comprehensive annotation of human lncRNAs is of great significance in navigating the functional landscape of the human genome and deepening the understanding of the multi-featured RNA world. However, the unique characteristics of lncRNAs as well as their enormous quantity have complicated and challenged the annotation of lncRNAs. Advances in high-throughput sequencing technologies give rise to a large volume of omics data that are generated at an unprecedented rate and scale, providing possibilities in the identification, characterization and functional annotation of lncRNAs. Here, we review the recent important discoveries of human lncRNAs through analysis of various omics data and summarize specialized lncRNA database resources. Moreover, we highlight the multi-omics integrative analysis as a powerful strategy to efficiently discover and characterize the functional lncRNAs and elucidate their potential molecular mechanisms.
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August 2020
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The transcript is populated with numerous overlapping codes that regulate all steps of gene expression. These codes cannot be readily discovered and understood without the use of computational modelling and algorithms. In this issue (see pages 1519–1528), Bahiri-Elitzur and Tuller summarize and discuss the different approaches that have been employed in the field in recent years. This cover artwork has been created by Hagar Messer and was provided by Tamir Tuller.
Review Article|
August 05 2020
Multi-omics annotation of human long non-coding RNAs
Qianpeng Li;
Qianpeng Li
*
1China National Center for Bioinformation, Beijing 100101, China
2National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
3CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
4University of Chinese Academy of Sciences, Beijing 100101, China
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Zhao Li;
Zhao Li
*
1China National Center for Bioinformation, Beijing 100101, China
2National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
3CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
4University of Chinese Academy of Sciences, Beijing 100101, China
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Changrui Feng;
Changrui Feng
1China National Center for Bioinformation, Beijing 100101, China
2National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
3CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
4University of Chinese Academy of Sciences, Beijing 100101, China
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Shuai Jiang;
Shuai Jiang
1China National Center for Bioinformation, Beijing 100101, China
2National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
3CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
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Zhang Zhang;
1China National Center for Bioinformation, Beijing 100101, China
2National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
3CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
4University of Chinese Academy of Sciences, Beijing 100101, China
Correspondence: Lina Ma (malina@big.ac.cn) or Zhang Zhang (zhangzhang@big.ac.cn)
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Lina Ma
1China National Center for Bioinformation, Beijing 100101, China
2National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
3CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
Correspondence: Lina Ma (malina@big.ac.cn) or Zhang Zhang (zhangzhang@big.ac.cn)
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Publisher: Portland Press Ltd
Received:
May 14 2020
Revision Received:
July 05 2020
Accepted:
July 07 2020
Online ISSN: 1470-8752
Print ISSN: 0300-5127
© 2020 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society
2020
Biochem Soc Trans (2020) 48 (4): 1545–1556.
Article history
Received:
May 14 2020
Revision Received:
July 05 2020
Accepted:
July 07 2020
Citation
Qianpeng Li, Zhao Li, Changrui Feng, Shuai Jiang, Zhang Zhang, Lina Ma; Multi-omics annotation of human long non-coding RNAs. Biochem Soc Trans 28 August 2020; 48 (4): 1545–1556. doi: https://doi.org/10.1042/BST20191063
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