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CMTCN: a web tool for investigating cancer-specific microRNA and transcription factor co-regulatory networks
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 pi...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6237116/ https://www.ncbi.nlm.nih.gov/pubmed/30473937 http://dx.doi.org/10.7717/peerj.5951 |
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author | Li, Ruijiang Chen, Hebing Jiang, Shuai Li, Wanying Li, Hao Zhang, Zhuo Hong, Hao Huang, Xin Zhao, Chenghui Lu, Yiming Bo, Xiaochen |
author_facet | Li, Ruijiang Chen, Hebing Jiang, Shuai Li, Wanying Li, Hao Zhang, Zhuo Hong, Hao Huang, Xin Zhao, Chenghui Lu, Yiming Bo, Xiaochen |
author_sort | Li, Ruijiang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6237116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-62371162018-11-23 CMTCN: a web tool for investigating cancer-specific microRNA and transcription factor co-regulatory networks Li, Ruijiang Chen, Hebing Jiang, Shuai Li, Wanying Li, Hao Zhang, Zhuo Hong, Hao Huang, Xin Zhao, Chenghui Lu, Yiming Bo, Xiaochen PeerJ Bioinformatics 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. PeerJ Inc. 2018-11-12 /pmc/articles/PMC6237116/ /pubmed/30473937 http://dx.doi.org/10.7717/peerj.5951 Text en ©2018 Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Li, Ruijiang Chen, Hebing Jiang, Shuai Li, Wanying Li, Hao Zhang, Zhuo Hong, Hao Huang, Xin Zhao, Chenghui Lu, Yiming Bo, Xiaochen CMTCN: a web tool for investigating cancer-specific microRNA and transcription factor co-regulatory networks |
title | CMTCN: a web tool for investigating cancer-specific microRNA and transcription factor co-regulatory networks |
title_full | CMTCN: a web tool for investigating cancer-specific microRNA and transcription factor co-regulatory networks |
title_fullStr | CMTCN: a web tool for investigating cancer-specific microRNA and transcription factor co-regulatory networks |
title_full_unstemmed | CMTCN: a web tool for investigating cancer-specific microRNA and transcription factor co-regulatory networks |
title_short | CMTCN: a web tool for investigating cancer-specific microRNA and transcription factor co-regulatory networks |
title_sort | cmtcn: a web tool for investigating cancer-specific microrna and transcription factor co-regulatory networks |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6237116/ https://www.ncbi.nlm.nih.gov/pubmed/30473937 http://dx.doi.org/10.7717/peerj.5951 |
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