ArticleGenomics, proteomics & bioinformatics2022
dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms.
Article in Genomics, proteomics & bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 78 papers.
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Who cites it
78 citing papers in PubMed, 140 citations in OpenAlex.
- Unveiling the oncogenic role of PDK3 in head and neck squamous cell carcinoma, an integrative in silico and an in vitro approach.Journal, genetic engineering & biotechnology · 2026Article
- Disruption of the ∆40p53/miR-4671-5p/SGSH axis results in intra-S-phase arrest and poor cancer prognosis.The FEBS journal · 2026Article
- MicroRNA-597 Suppresses Gastric Cancer Invasion and Progression viaInternational journal of molecular sciences · 2026Article
- Multi-granularity transformer contrastive learning and feature reconstruction for prediction of disease-related miRNAs.BMC bioinformatics · 2026Article
- MV-HAGCN: Prediction of miRNA-Disease Association Based on Multi-View Hybrid Attention Graph Convolutional Network.International journal of molecular sciences · 2026Article
- EMGMDA: a multi-modal graph neural framework for robust prediction of miRNA-disease associations.BMC genomics · 2026Article
- An insilico analysis: three upregulated microRNAs as potential diagnostic biomarkers of Papillary Thyroid Carcinoma (PTC).Journal of the Egyptian National Cancer Institute · 2026Article
- Circulating MicroRNA in Breast Cancer.Cancers · 2026Review
- miR-127-3p Inhibits Cell Stemness and Docetaxel Resistance in Triple-Negative Breast Cancer by Targeting KIF3B.The Kaohsiung journal of medical sciences · 2026Article
- miR-340 improves the efficiency of p53 gene therapy in metastatic prostate cancer cells through downregulation of MDM2.Scientific reports · 2026Article
- Patient-specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity.Molecular oncology · 2026Article
- From biogenesis to deep modeling: a holistic review of miRNA-disease prediction computational methods with experimental comparison.Briefings in bioinformatics · 2026Review
- Unbiased microRNA-Disease Association Prediction Using ICD-11 Codes and Negative Sampling.Pharmacology research & perspectives · 2025Article
- Human miRNAs in Cancer: Statistical Trends and Cross Kingdom Approach.International journal of molecular sciences · 2025Article
- Integrated bioinformatics and deep learning (MLP) approach reveals a novel five miRNA prognostic signature in uveal melanoma.Scientific reports · 2025Article
- Bioinformatics analysis to explore the potential prognostic utility of hsa-miR-103a-3p in head and neck squamous cell carcinoma.Scientific reports · 2025Article
- MicroRNA‑885‑5p regulates cell cycle progression in liver cancer cells.International journal of molecular medicine · 2025Article
- Relationship between the degree of Helicobacter pylori infection and miR-155 and miR-543 expression levels in gastric cancer.BMC gastroenterology · 2025Article
- Daily Profile of miRNAs in the Rat Colon and In Silico Analysis of Their Possible Relationship to Colorectal Cancer.Biomedicines · 2025Article
- BIM-Ken: Identifying Disease-Related miRNA Biomarkers Based on Knowledge-Enhanced Bio-Network.Genes · 2025Article
18 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.