ENCD: a manually curated database of experimentally supported endocrine system disease and lncRNA associations. (19th January 2023)

• Record Type: Journal Article
• Authors: Hao, Ming; Qi, Yue; Xu, Rongji; Zhao, Kangqi; Li, Mingqing; Shan, Yongyan; Xia, Tian; Yang, Kun; Hasi, Wuyang; Zhang, Cong; Li, Daowei; Wang, Yi; Wang, Peng; Kuang, Hongyu
• Is Part Of: Database. Volume 2023(2023)
• Publication Date: 2023-01-19
• Subjects: Biology -- Databases -- Periodicals; Bioinformatics -- Periodicals; 570.285
• DOI: 10.1093/database/baac113
• Languages: English
• ISSNs: 1758-0463

Abstract

Abstract: ENCD (http://www.bio-server.cn/ENCD/ ) is a manually curated database that provides comprehensive experimentally supported associations among endocrine system diseases (ESDs) and long non-coding ribonucleic acid (lncRNAs). The incidence of ESDs has increased in recent years, often accompanying other chronic diseases, and can lead to disability. A growing body of research suggests that lncRNA plays an important role in the progression and metastasis of ESDs. However, there are no resources focused on collecting and integrating the latest and experimentally supported lncRNA–ESD associations. Hence, we developed an ENCD database that consists of 1379 associations between 35 ESDs and 501 lncRNAs in 12 human tissues curated from literature. By using ENCD, users can explore the genetic data for diseases corresponding to the body parts of interest as well as study the lncRNA regulating mechanism for ESDs. ENCD also provides a flexible tool to visualize a disease- or gene-centric regulatory network. In addition, ENCD offers a submission page for researchers to submit their newly discovered endocrine disorders-genetic data entries online. Collectively, ENCD will provide comprehensive insights for investigating the ESDs associated with lncRNAs. Database URL http://www.bio-server.cn/ENCD