dbDEMC 3.0

'dbDEMC 3.0' is an updated and comprehensive database focusing on differentially expressed microRNAs (DEMs) in human cancers and now extending to mice and rats. This database aims to provide a systematic resource for the collection, storage, and retrieval of DEMs in the context of cancer research.
Key features and updates of dbDEMC 3.0 include:
1. Data Expansion: This version contains twice as many data entries as the previous version, including data from human, mouse, and rat species.
2. Extensive Coverage: It includes 3,268 unique DEMs across 40 different cancer types, offering a wide range of information for various research needs.
3. Categorization: The datasets for differential expression analysis have been organized into nine generalized categories, simplifying data access and utilization.
4. Functional Annotations: The release integrates functional annotations of DEMs based on experimentally validated targets, enhancing the understanding of DEM roles in cancer.

Topic

Functional, regulatory and non-coding RNA;RNA-Seq;Oncology;Microarray experiment;Gene expression

Detail

  • Operation: miRNA target prediction;miRNA expression analysis;Differential gene expression profiling

  • Software interface: Database,Web user interface

  • Language: JavaScript

  • License: Not stated

  • Cost: Free

  • Version name: 3.0

  • Credit: The National Natural Science Foundation of China, the Strategic Priority Research Program of the Chinese Academy of Sciences, and the Shanghai Municipal Science and Technology.

  • Input: -

  • Output: -

  • Contact: Zhen Yang zhenyang@fudan.edu.cn, Yungang H heyungang@fudan.edu.cn

  • Collection: -

  • Maturity: -

Publications

  • dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms.
  • Xu F, et al. dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms. dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms. 2022; 20:446-454. doi: 10.1016/j.gpb.2022.04.006
  • https://doi.org/10.1016/J.GPB.2022.04.006
  • PMID: 35643191
  • PMC: PMC9801039

Download and documentation

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