EVLncRNAs 3.0: an updated comprehensive database for manually curated functional long non-coding RNAs validated by low-throughput experiments

Author:

Zhou Bailing1ORCID,Ji Baohua12,Shen Congcong1,Zhang Xia1,Yu Xue1,Huang Pingping1,Yu Ru1,Zhang Hongmei13,Dou Xianghua1,Chen Qingshuai1,Zeng Qiangcheng13,Wang Xiaoxin12,Cao Zanxia1,Hu Guodong1ORCID,Xu Shicai1,Zhao Huiying4ORCID,Yang Yuedong15,Zhou Yaoqi16ORCID,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. College of Life Science, Dezhou University , Dezhou  253023 , China

4. Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University , Guangzhou  510120 , China

5. School of Computer Science and Engineering, Sun Yat-Sen University , Guangzhou  510006 , China

6. Institute of Systems and Physical Biology, Shenzhen Bay Laboratory , Shenzhen  518038 , China

Abstract

Abstract Long noncoding RNAs (lncRNAs) have emerged as crucial regulators across diverse biological processes and diseases. While high-throughput sequencing has enabled lncRNA discovery, functional characterization remains limited. The EVLncRNAs database is the first and exclusive repository for all experimentally validated functional lncRNAs from various species. After previous releases in 2018 and 2021, this update marks a major expansion through exhaustive manual curation of nearly 25 000 publications from 15 May 2020, to 15 May 2023. It incorporates substantial growth across all categories: a 154% increase in functional lncRNAs, 160% in associated diseases, 186% in lncRNA-disease associations, 235% in interactions, 138% in structures, 234% in circular RNAs, 235% in resistant lncRNAs and 4724% in exosomal lncRNAs. More importantly, it incorporated additional information include functional classifications, detailed interaction pathways, homologous lncRNAs, lncRNA locations, COVID-19, phase-separation and organoid-related lncRNAs. The web interface was substantially improved for browsing, visualization, and searching. ChatGPT was tested for information extraction and functional overview with its limitation noted. EVLncRNAs 3.0 represents the most extensive curated resource of experimentally validated functional lncRNAs and will serve as an indispensable platform for unravelling emerging lncRNA functions. The updated database is freely available at https://www.sdklab-biophysics-dzu.net/EVLncRNAs3/.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong of China

Youth Innovation Team Lead-education Project of Shandong Educational Committee

Talent Introduction Project of Dezhou University of China

Publisher

Oxford University Press (OUP)

Subject

Genetics

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