EVLncRNAs 2.0: an updated database of manually curated functional long non-coding RNAs validated by low-throughput experiments

Author:

Zhou Bailing1,Ji Baohua12,Liu Kui1,Hu Guodong1,Wang Fei1,Chen Qingshuai1,Yu Ru1,Huang Pingping1,Ren Jing1,Guo Chengang1,Zhao Huiying3,Zhang Hongmei14,Zhao Dongbo1,Li Zhiwei5,Zeng Qiangcheng14,Yu Jiafeng1,Bian Yunqiang1,Cao Zanxia1,Xu Shicai1,Yang Yuedong6,Zhou Yaoqi17ORCID,Wang Jihua1

Affiliation:

1. Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China

2. College of Physics and Electronic Information, Dezhou University, Dezhou 253023, China

3. Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China

4. College of Life Science, Dezhou University, Dezhou 253023, China

5. Department of General Surgery, Dezhou Municipal Hospital, Dezhou 253012, China

6. School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510275, China

7. Institute for Glycomics and School of Information and Communication Technology, Griffith University, Gold Coast, QLD 4222, Australia

Abstract

Abstract Long non-coding RNAs (lncRNAs) play important functional roles in many diverse biological processes. However, not all expressed lncRNAs are functional. Thus, it is necessary to manually collect all experimentally validated functional lncRNAs (EVlncRNA) with their sequences, structures, and functions annotated in a central database. The first release of such a database (EVLncRNAs) was made using the literature prior to 1 May 2016. Since then (till 15 May 2020), 19 245 articles related to lncRNAs have been published. In EVLncRNAs 2.0, these articles were manually examined for a major expansion of the data collected. Specifically, the number of annotated EVlncRNAs, associated diseases, lncRNA-disease associations, and interaction records were increased by 260%, 320%, 484% and 537%, respectively. Moreover, the database has added several new categories: 8 lncRNA structures, 33 exosomal lncRNAs, 188 circular RNAs, and 1079 drug-resistant, chemoresistant, and stress-resistant lncRNAs. All records have checked against known retraction and fake articles. This release also comes with a highly interactive visual interaction network that facilitates users to track the underlying relations among lncRNAs, miRNAs, proteins, genes and other functional elements. Furthermore, it provides links to four new bioinformatics tools with improved data browsing and searching functionality. EVLncRNAs 2.0 is freely available at https://www.sdklab-biophysics-dzu.net/EVLncRNAs2/.

Funder

National Natural Science Foundation of China

Taishan Scholars Program of Shandong Province of China

Dezhou University

Publisher

Oxford University Press (OUP)

Subject

Genetics

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