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dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms

Authors :
Feng Xu
Yifan Wang
Yunchao Ling
Chenfen Zhou
Haizhou Wang
Andrew E. Teschendorff
Yi Zhao
Haitao Zhao
Yungang He
Guoqing Zhang
Zhen Yang
Source :
Genomics, Proteomics & Bioinformatics. 20:446-454
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

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.

Details

ISSN :
16720229
Volume :
20
Database :
OpenAIRE
Journal :
Genomics, Proteomics & Bioinformatics
Accession number :
edsair.doi.dedup.....7a483b9452b673e68c155fa8da643969
Full Text :
https://doi.org/10.1016/j.gpb.2022.04.006