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(TM)REC: A Database of Transcription Factor and MiRNA Regulatory Cascades in Human Diseases

Over the past decades, studies have reported that the combinatorial regulation of transcription factors (TFs) and microRNAs (miRNAs) is essential for the appropriate execution of biological events and developmental processes. Dysregulations of these regulators often cause diseases. However, there ar...

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Autores principales: Wang, Shuyuan, Li, Wei, Lian, Baofeng, Liu, Xinyi, Zhang, Yan, Dai, Enyu, Yu, Xuexin, Meng, Fanlin, Jiang, Wei, Li, Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416930/
https://www.ncbi.nlm.nih.gov/pubmed/25932650
http://dx.doi.org/10.1371/journal.pone.0125222
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author Wang, Shuyuan
Li, Wei
Lian, Baofeng
Liu, Xinyi
Zhang, Yan
Dai, Enyu
Yu, Xuexin
Meng, Fanlin
Jiang, Wei
Li, Xia
author_facet Wang, Shuyuan
Li, Wei
Lian, Baofeng
Liu, Xinyi
Zhang, Yan
Dai, Enyu
Yu, Xuexin
Meng, Fanlin
Jiang, Wei
Li, Xia
author_sort Wang, Shuyuan
collection PubMed
description Over the past decades, studies have reported that the combinatorial regulation of transcription factors (TFs) and microRNAs (miRNAs) is essential for the appropriate execution of biological events and developmental processes. Dysregulations of these regulators often cause diseases. However, there are no available resources on the regulatory cascades of TFs and miRNAs in the context of human diseases. To fulfill this vacancy, we established the (TM)REC database in this study. First, we integrated curated transcriptional and post-transcriptional regulations to construct the TF and miRNA regulatory network. Next, we identified all linear paths using the Breadth First Search traversal method. Finally, we used known disease-related genes and miRNAs to measure the strength of association between cascades and diseases. Currently, (TM)REC consists of 74,248 cascades and 25,194 cascade clusters, involving in 412 TFs, 266 miRNAs and 545 diseases. With the expanding of experimental support regulation data, we will regularly update the database. (TM)REC aims to help experimental biologists to comprehensively analyse gene expression regulation, to understand the aetiology and to predict novel therapeutic targets.(TM)REC is freely available at http://bioinfo.hrbmu.edu.cn/TMREC/.
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spelling pubmed-44169302015-05-07 (TM)REC: A Database of Transcription Factor and MiRNA Regulatory Cascades in Human Diseases Wang, Shuyuan Li, Wei Lian, Baofeng Liu, Xinyi Zhang, Yan Dai, Enyu Yu, Xuexin Meng, Fanlin Jiang, Wei Li, Xia PLoS One Research Article Over the past decades, studies have reported that the combinatorial regulation of transcription factors (TFs) and microRNAs (miRNAs) is essential for the appropriate execution of biological events and developmental processes. Dysregulations of these regulators often cause diseases. However, there are no available resources on the regulatory cascades of TFs and miRNAs in the context of human diseases. To fulfill this vacancy, we established the (TM)REC database in this study. First, we integrated curated transcriptional and post-transcriptional regulations to construct the TF and miRNA regulatory network. Next, we identified all linear paths using the Breadth First Search traversal method. Finally, we used known disease-related genes and miRNAs to measure the strength of association between cascades and diseases. Currently, (TM)REC consists of 74,248 cascades and 25,194 cascade clusters, involving in 412 TFs, 266 miRNAs and 545 diseases. With the expanding of experimental support regulation data, we will regularly update the database. (TM)REC aims to help experimental biologists to comprehensively analyse gene expression regulation, to understand the aetiology and to predict novel therapeutic targets.(TM)REC is freely available at http://bioinfo.hrbmu.edu.cn/TMREC/. Public Library of Science 2015-05-01 /pmc/articles/PMC4416930/ /pubmed/25932650 http://dx.doi.org/10.1371/journal.pone.0125222 Text en © 2015 Wang 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wang, Shuyuan
Li, Wei
Lian, Baofeng
Liu, Xinyi
Zhang, Yan
Dai, Enyu
Yu, Xuexin
Meng, Fanlin
Jiang, Wei
Li, Xia
(TM)REC: A Database of Transcription Factor and MiRNA Regulatory Cascades in Human Diseases
title (TM)REC: A Database of Transcription Factor and MiRNA Regulatory Cascades in Human Diseases
title_full (TM)REC: A Database of Transcription Factor and MiRNA Regulatory Cascades in Human Diseases
title_fullStr (TM)REC: A Database of Transcription Factor and MiRNA Regulatory Cascades in Human Diseases
title_full_unstemmed (TM)REC: A Database of Transcription Factor and MiRNA Regulatory Cascades in Human Diseases
title_short (TM)REC: A Database of Transcription Factor and MiRNA Regulatory Cascades in Human Diseases
title_sort (tm)rec: a database of transcription factor and mirna regulatory cascades in human diseases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416930/
https://www.ncbi.nlm.nih.gov/pubmed/25932650
http://dx.doi.org/10.1371/journal.pone.0125222
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