LncExpDB: an expression database of human long non-coding RNAs

Author:

Li Zhao1234,Liu Lin1234,Jiang Shuai123ORCID,Li Qianpeng1234,Feng Changrui1234,Du Qiang1234,Zou Dong123,Xiao Jingfa1234,Zhang Zhang1234ORCID,Ma Lina123ORCID

Affiliation:

1. China National Center for Bioinformation, Beijing 100101, China

2. National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China

3. CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China

4. University of Chinese Academy of Sciences, Beijing 100101, China

Abstract

Abstract Expression profiles of long non-coding RNAs (lncRNAs) across diverse biological conditions provide significant insights into their biological functions, interacting targets as well as transcriptional reliability. However, there lacks a comprehensive resource that systematically characterizes the expression landscape of human lncRNAs by integrating their expression profiles across a wide range of biological conditions. Here, we present LncExpDB (https://bigd.big.ac.cn/lncexpdb), an expression database of human lncRNAs that is devoted to providing comprehensive expression profiles of lncRNA genes, exploring their expression features and capacities, identifying featured genes with potentially important functions, and building interactions with protein-coding genes across various biological contexts/conditions. Based on comprehensive integration and stringent curation, LncExpDB currently houses expression profiles of 101 293 high-quality human lncRNA genes derived from 1977 samples of 337 biological conditions across nine biological contexts. Consequently, LncExpDB estimates lncRNA genes’ expression reliability and capacities, identifies 25 191 featured genes, and further obtains 28 443 865 lncRNA-mRNA interactions. Moreover, user-friendly web interfaces enable interactive visualization of expression profiles across various conditions and easy exploration of featured lncRNAs and their interacting partners in specific contexts. Collectively, LncExpDB features comprehensive integration and curation of lncRNA expression profiles and thus will serve as a fundamental resource for functional studies on human lncRNAs.

Funder

Chinese Academy of Sciences

National Key Research and Development Program of China

Youth Innovation Promotion Association of Chinese Academy of Sciences

National Natural Science Foundation of China

K. C. Wong Education Foundation

Publisher

Oxford University Press (OUP)

Subject

Genetics

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