Cargando…

(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...

Descripción completa

Detalles Bibliográficos
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
Descripción
Sumario: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/.