Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.
Nucleic Acids Res. 2010 Jan;38(Database issue):D676-81. doi: 10.1093/nar/gkp734. Epub 2009 Sep 22.
Three hormone receptors, the estrogen receptor (ER), the androgen receptor (AR) and glucocorticoid receptor (GR) play an important role in regulating the cellular differentiation tissue development of skin, bone, the brain and the endocrine system; therefore, there is a strong scientific need to identify and characterize hormone receptor transcriptional regulation. Given that the vast amount of regulatory data for hormone being produced by ChIP-based high-throughput experiments is widely scattered in disparate, poorly cross-indexed data stores, a flexible platform for organizing and relating these data would provide significant value. We created a data management system called the Hormone Receptor Target Binding Loci, HRTBLDb (http://motif.bmi.ohio-state.edu/hrtbldb), to address this problem. This database contains hormone receptor binding regions (binding loci) from in vivo ChIP-based high-throughput experiments as well as in silico, computationally predicted, binding motifs and cis-regulatory modules for the co-occurring transcription factor binding motifs, which are within a binding locus. It also contains individual binding sites whose regulatory action has been verified by in vitro experiments. The current version contains 44,673 binding elements with 114 hormone response elements which are verified by in vitro experiments; 75 binding motifs which occur with a hormone response element and whose co-regulatory action is verified by in vitro experiments; 18,472 binding loci from in vivo experiments; and 26,012 computationally predicted binding motifs.
三种激素受体,即雌激素受体(ER)、雄激素受体(AR)和糖皮质激素受体(GR),在调节皮肤、骨骼、大脑和内分泌系统的细胞分化和组织发育方面发挥着重要作用;因此,有强烈的科学需求来识别和描述激素受体的转录调控。鉴于基于 ChIP 的高通量实验产生的大量激素调控数据广泛分散在不同的、索引很差的数据存储库中,一个用于组织和关联这些数据的灵活平台将具有重要价值。我们创建了一个名为激素受体靶结合位点数据库(Hormone Receptor Target Binding Loci, HRTBLDb)的数据库(http://motif.bmi.ohio-state.edu/hrtbldb),以解决这个问题。该数据库包含来自体内基于 ChIP 的高通量实验的激素受体结合区域(结合位点),以及在计算上预测的、与共同出现的转录因子结合基序相关的顺式调控模块的结合基序,这些基序位于一个结合位点内。它还包含单个的结合位点,其调控作用已通过体外实验验证。当前版本包含 44673 个具有 114 个经体外实验验证的激素反应元件的结合元件;75 个与激素反应元件一起出现且其协同调控作用通过体外实验验证的结合基序;来自体内实验的 18472 个结合位点;以及 26012 个计算预测的结合基序。