Wang Kai, Nishida Hiroki
Department of Biological Sciences, Graduate School of Science, Osaka University, Toyonaka, Osaka, 560-0043, Japan.
BMC Bioinformatics. 2015 Apr 10;16:114. doi: 10.1186/s12859-015-0552-x.
Genes encoding transcription factors that constitute gene-regulatory networks and maternal factors accumulating in egg cytoplasm are two classes of essential genes that play crucial roles in developmental processes. Transcription factors control the expression of their downstream target genes by interacting with cis-regulatory elements. Maternal factors initiate embryonic developmental programs by regulating the expression of zygotic genes and various other events during early embryogenesis.
This article documents the transcription factors of 77 metazoan species as well as human and mouse maternal factors. We improved the previous method using a statistical approach adding Gene Ontology information to Pfam based identification of transcription factors. This method detects previously un-discovered transcription factors. The novel features of this database are: (1) It includes both transcription factors and maternal factors, although the number of species, in which maternal factors are listed, is limited at the moment. (2) Ontological representation at the cell, tissue, organ, and system levels has been specially designed to facilitate development studies. This is the unique feature in our database and is not available in other transcription factor databases.
A user-friendly web interface, REGULATOR ( http://www.bioinformatics.org/regulator/ ), which can help researchers to efficiently identify, validate, and visualize the data analyzed in this study, are provided. Using this web interface, users can browse, search, and download detailed information on species of interest, genes, transcription factor families, or developmental ontology terms.
编码构成基因调控网络的转录因子的基因以及在卵细胞质中积累的母体因子是两类在发育过程中起关键作用的必需基因。转录因子通过与顺式调控元件相互作用来控制其下游靶基因的表达。母体因子通过调节合子基因的表达以及早期胚胎发生过程中的各种其他事件来启动胚胎发育程序。
本文记录了77种后生动物物种的转录因子以及人类和小鼠的母体因子。我们改进了先前的方法,采用一种统计方法,在基于Pfam的转录因子识别中添加基因本体信息。该方法检测到了先前未发现的转录因子。这个数据库的新特点是:(1)它既包括转录因子也包括母体因子,尽管目前列出母体因子的物种数量有限。(2)在细胞、组织、器官和系统水平的本体表示经过专门设计,以促进发育研究。这是我们数据库的独特特征,在其他转录因子数据库中没有。
提供了一个用户友好的网络界面REGULATOR(http://www.bioinformatics.org/regulator/),它可以帮助研究人员有效地识别、验证和可视化本研究中分析的数据。使用这个网络界面,用户可以浏览、搜索和下载有关感兴趣物种、基因、转录因子家族或发育本体术语的详细信息。