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Updated: Feb 2, 2026

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
Published on: June 15, 2016
CMTCN: a web tool for investigating cancer-specific microRNA and transcription factor co-regulatory networks
Ruijiang Li1, Hebing Chen1, Shuai Jiang1
1Department of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, China.
Abstract:
Transcription factors (TFs) and microRNAs (miRNAs) are well-characterized trans-acting essential players in gene expression regulation. Growing evidence indicates that TFs and miRNAs can work cooperatively, and their dysregulation has been associated with many diseases including cancer. A unified picture of regulatory interactions of these regulators and their joint target genes would shed light on cancer studies. Although online resources developed to support probing of TF-gene and miRNA-gene interactions are available, online applications for miRNA-TF co-regulatory analysis, especially with a focus on cancers, are lacking. In light of this, we developed a web tool, namely CMTCN (freely available at http://www.cbportal.org/CMTCN), which constructs miRNA-TF co-regulatory networks and conducts comprehensive analyses within the context of particular cancer types. With its user-friendly provision of topological and functional analyses, CMTCN promises to be a reliable and indispensable web tool for biomedical studies.
Insights
This study introduces CMTCN, a web tool for analyzing microRNA-transcription factor co-regulatory networks in cancer. It aids researchers in understanding gene regulation and its role in disease.
Area of Science:
- Bioinformatics
- Molecular Biology
- Computational Biology
Background:
- Transcription factors (TFs) and microRNAs (miRNAs) are key regulators of gene expression.
- Dysregulation of TFs and miRNAs is linked to diseases, particularly cancer.
- Understanding cooperative TF-miRNA regulatory networks is crucial for cancer research.
Purpose of the Study:
- To develop a web tool for analyzing miRNA-TF co-regulatory networks.
- To provide a resource for comprehensive analysis within specific cancer types.
- To facilitate research into the role of these regulators in cancer.
Main Methods:
- Development of the CMTCN web tool.
- Construction of miRNA-TF co-regulatory networks.
- Integration of topological and functional analyses.
Main Results:
- CMTCN enables the construction and analysis of miRNA-TF co-regulatory networks.
- The tool focuses on cancer-specific regulatory interactions.
- User-friendly interface for topological and functional assessments.
Conclusions:
- CMTCN is a valuable web resource for studying miRNA-TF co-regulation in cancer.
- The tool supports biomedical research by providing insights into gene regulatory networks.
- CMTCN is freely available for scientific use.
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