Genomics Proteomics & BioinformaticsBioinformaticsPeer-reviewed journal article
dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms
Feng XuiD, Yifan WangiD, Yunchao LingiD, Chenfen ZhouiD, Haizhou WangiD, Andrew Erich TeschendorffiD, Yi Chen ZhaoiD, Haitao ZhaoiD, Yungang HeiD, Guoqing ZhangiD, Zhen YangiD
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.
- organism: human
- organism: mouse
- organism: rat
- assay: bulk RNA-seq
- research focus: database / resource
- approach: statistical model
- Citations
- 149
- FWCI
- 14.00
- Field percentile
- top 1%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- namiRa: A Comprehensive, Manually Curated Database for MicroRNA Expression, Function, and Deregulation in Cancer
Saeed Mohebbi, Alireza Dostmohammadi, … Sharif Moradi·Computers in Biology and MedicinePeer-reviewed·May 28, 2026
- Identification of Key Differentially Expressed MicroRNAs in Cancer Patients Through Pan-cancer Analysis
Yu Hu, Hayley Dingerdissen, … Raja Mazumder·Computers in Biology and MedicinePeer-reviewed·Oct 22, 2018
- CancerMIRNome: an interactive analysis and visualization database for miRNome profiles of human cancer
Ruidong Li, Han Qu, … Zhenyu Jia·Nucleic Acids ResearchPeer-reviewed·Sep 8, 2021
- Lowest expressing microRNAs capture indispensable information - identifying cancer types
Roni Rasnic, Nathan Linial, Michal Linial B·Nucleic Acids ResearchPeer-reviewed·Mar 31, 2017
- Post-transcriptional Regulation is the Major Driver of microRNA Expression Variation
Dingyao Zhang, Jingru Tian, … Jun Lü·bioRxiv·Jan 7, 2020
- Chasing non-existent microRNAs in cancer
Ayla Orang, Nicholas I. Warnock, … Cameron P. Bracken·OncogenesisPeer-reviewed·Apr 18, 2025