dbDEMC

dbDEMC is a comprehensive online database that serves as a repository for differentially expressed microRNAs (miRNAs) found in human cancers. It is an invaluable resource for researchers, medical professionals, and students in the field of oncology. The database is designed to facilitate the exploration of miRNA expression patterns across various cancer types and subtypes, which is crucial for understanding the complexities of cancer development and treatment. What makes dbDEMC unique is its extensive collection of miRNA expression data sets, totaling 403. These data sets are derived from high-throughput and low-throughput methods and sourced from public repositories such as Gene Expression Omnibus (GEO), Sequence Read Archive (SRA), ArrayExpress, and The Cancer Genome Atlas (TCGA). This extensive compilation of data provides a robust foundation for researchers to analyze and compare miRNA expression across different types of cancers. dbDEMC includes data for 40 different cancer types and 149 subtypes, encompassing a vast array of samples. The database is particularly rich in human data, with 3,268 differentially expressed miRNAs identified across the 40 cancer types. For each miRNA, the database also offers a detailed description of the experimental methods used for identification, which is essential for replication and validation of research findings. One of the key features of dbDEMC is its ability to provide experimentally validated targets for each differentially expressed miRNA. This information is crucial for understanding the biological significance of the miRNAs and their potential roles in cancer pathways. Additionally, the database constructs miRNA regulatory networks, allowing users to visualize the complex relationships between different miRNAs and their ta