ENCD: a Manually Curated Database of Experimentally Supported Endocrine System Disease and LncRNA Associations

Overview

Journal Database (Oxford)

Specialty Biology

Date 2023 Jan 18

PMID 36653322

Authors

Ming Hao

Yue Qi

Rongji Xu

Kangqi Zhao

MingQing Li

Yongyan Shan

Tian Xia

Kun Yang

Wuyang Hasi

Cong Zhang

Daowei Li

Yi Wang

Peng Wang

Hongyu Kuang

Affiliations

Soon will be listed here.

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.

Citing Articles

EndoGene database: reported genetic variants for 5,926 Russian patients diagnosed with endocrine disorders.

Buzdin A, Zolotovskaia M, Roumiantsev S, Emelyanova A, Golounina O, Pugacheva P Front Endocrinol (Lausanne). 2025; 16:1472754.

PMID: 40041282 PMC: 11876052. DOI: 10.3389/fendo.2025.1472754.

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Zhang P, Zhang W, Sun W, Li L, Xu J, Wang L Front Genet. 2023; 14:1084482.

PMID: 37274787 PMC: 10234424. DOI: 10.3389/fgene.2023.1084482.

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