PT  - JOURNAL ARTICLE
AU  - Feng Xu
AU  - Yifan Wang
AU  - Yunchao Ling
AU  - Chenfen Zhou
AU  - Haizhou Wang
AU  - Andrew E. Teschendorff
AU  - Yi Zhao
AU  - Haitao Zhao
AU  - Yungang He
AU  - Guoqing Zhang
AU  - Zhen Yang
TI  - dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms
AID  - 10.1101/2022.02.10.479911
DP  - 2022 Jan 01
TA  - bioRxiv
PG  - 2022.02.10.479911
4099  - http://biorxiv.org/content/early/2022/02/10/2022.02.10.479911.short
4100  - http://biorxiv.org/content/early/2022/02/10/2022.02.10.479911.full
AB  - microRNAs (miRNAs) are important regulators in gene expression. The deregulation of miRNA expression is widely reported in the transformation from physiological to pathological state of cells. A large amount of differentially expressed miRNAs (DEMs) have been identified in various human cancers by using high-throughput technologies, such as microarray and miRNA-seq. Through mining of published researches with high-throughput experiment information, the database of differentially expressed miRNAs in human cancers (dbDEMC) was constructed with the aim of providing a systematic resource for the storage and query of the DEMs. Here we report an update of the dbDEMC to version 3.0, containing two-fold more data entries than the previous version, now including also data from mouse and rat. The dbDEMC 3.0 contains 3,268 unique DEMs in 40 different cancer types. The current datasets for differential expression analysis have expanded to 9 generalized categories. Moreover, the current release integrates functional annotations of DEMs obtained from experimentally validated targets. The annotations can greatly benefit integrative analysis of DEMs. In summary, dbDEMC 3.0 provides a valuable resource for characterizing molecular functions and regulatory mechanisms of DEMs in human cancers. The dbDEMC 3.0 is freely accessible at https://www.biosino.org/dbDEMC.Competing Interest StatementThe authors have declared no competing interest.