Center for Medical Research and Innovation of Pudong Hospital, Fudan University Pudong Medical Center, Shanghai 201399, China; Institutes of Biomedical Science, Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Fudan University, Shanghai 200032, China.
Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Genomics Proteomics Bioinformatics. 2022 Jun;20(3):446-454. doi: 10.1016/j.gpb.2022.04.006. Epub 2022 May 25.
MicroRNAs (miRNAs) are important regulators in gene expression. The dysregulation of miRNA expression is widely reported in the transformation from physiological to pathological states of cells. A large number 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 studies with high-throughput experiment information, the database of DEMs 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, which contains two-fold more data entries than the second version and now includes also data from mice and rats. The dbDEMC 3.0 contains 3268 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 by using experimentally validated targets. The annotations can be of great benefit to the intensive analysis of the roles of DEMs in cancer. 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.
微小 RNA（miRNAs）是基因表达的重要调控因子。miRNA 表达的失调在细胞从生理状态到病理状态的转变中广泛报道。通过使用高通量技术，如微阵列和 miRNA-seq，已经在各种人类癌症中鉴定出大量差异表达的 miRNAs（DEMs）。通过挖掘具有高通量实验信息的已发表研究，构建了人类癌症中 DEMs 的数据库（dbDEMC），旨在为 DEMs 的存储和查询提供一个系统资源。
这里我们报告了 dbDEMC 的更新版本 3.0，它包含两倍于第二版的数据条目，现在还包括来自小鼠和大鼠的数据。dbDEMC 3.0 包含 3268 个独特的 DEMs，分布在 40 种不同的癌症类型中。目前用于差异表达分析的数据集已经扩展到 9 个通用类别。此外，当前版本还整合了通过实验验证的靶标获得的 DEMs 的功能注释。这些注释对于深入分析 DEMs 在癌症中的作用非常有帮助。
总之，dbDEMC 3.0 为研究人类癌症中 DEMs 的分子功能和调控机制提供了一个有价值的资源。dbDEMC 3.0 可在 https://www.biosino.org/dbDEMC 免费获取。
