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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/17712
Title: 
HTRIdb: an open-access database for experimentally verified human transcriptional regulation interactions
Author(s): 
Institution: 
Universidade Estadual Paulista (UNESP)
ISSN: 
1471-2164
Sponsorship: 
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Sponsorship Process Number: 
  • FAPESP: 09/10382-2
  • FAPESP: 10/20684-3
Abstract: 
Background: The modeling of interactions among transcription factors (TFs) and their respective target genes (TGs) into transcriptional regulatory networks is important for the complete understanding of regulation of biological processes. In the case of experimentally verified human TF-TG interactions, there is no database at present that explicitly provides such information even though many databases containing human TF-TG interaction data have been available. In an effort to provide researchers with a repository of experimentally verified human TF-TG interactions from which such interactions can be directly extracted, we present here the Human Transcriptional Regulation Interactions database (HTRIdb).Description: The HTRIdb is an open-access database that can be searched via a user-friendly web interface and the retrieved TF-TG interactions data and the associated protein-protein interactions can be downloaded or interactively visualized as a network through the web version of the popular Cytoscape visualization tool, the Cytoscape Web. Moreover, users can improve the database quality by uploading their own interactions and indicating inconsistencies in the data. So far, HTRIdb has been populated with 284 TFs that regulate 18302 genes, totaling 51871 TF-TG interactions. HTRIdb is freely available at http://www.lbbc.ibb.unesp.br/htri.Conclusions: HTRIdb is a powerful user-friendly tool from which human experimentally validated TF-TG interactions can be easily extracted and used to construct transcriptional regulation interaction networks enabling researchers to decipher the regulation of biological processes.
Issue Date: 
17-Aug-2012
Citation: 
Bmc Genomics. London: Biomed Central Ltd., v. 13, p. 10, 2012.
Time Duration: 
10
Publisher: 
Biomed Central Ltd.
Source: 
http://dx.doi.org/10.1186/1471-2164-13-405
URI: 
http://hdl.handle.net/11449/17712
Access Rights: 
Acesso aberto
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/17712
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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