HCEMM-BRC Metabolic Systems Biology Research Group, Temesvári krt. 62, Szeged 6726, Hungary.
Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre, Eötvös Loránd Research Network (ELKH), Temesvári krt. 62, Szeged 6726, Hungary.
Database (Oxford). 2022 Sep 16;2022. doi: 10.1093/database/baac083.
Analysis of transcriptional regulatory interactions and their comparisons across multiple species are crucial for progress in various fields in biology, from functional genomics to the evolution of signal transduction pathways. However, despite the rapidly growing body of data on regulatory interactions in several eukaryotes, no databases exist to provide curated high-quality information on transcription factor-target gene interactions for multiple species. Here, we address this gap by introducing the TFLink gateway, which uniquely provides experimentally explored and highly accurate information on transcription factor-target gene interactions (∼12 million), nucleotide sequences and genomic locations of transcription factor binding sites (∼9 million) for human and six model organisms: mouse, rat, zebrafish, fruit fly, worm and yeast by integrating 10 resources. TFLink provides user-friendly access to data on transcription factor-target gene interactions, interactive network visualizations and transcription factor binding sites, with cross-links to several other databases. Besides containing accurate information on transcription factors, with a clear labelling of the type/volume of the experiments (small-scale or high-throughput), the source database and the original publications, TFLink also provides a wealth of standardized regulatory data available for download in multiple formats. The database offers easy access to high-quality data for wet-lab researchers, supplies data for gene set enrichment analyses and facilitates systems biology and comparative gene regulation studies. Database URL https://tflink.net/.
分析转录调控相互作用及其在多个物种间的比较对于生物学各个领域的进展至关重要,从功能基因组学到信号转导途径的进化。然而,尽管在几个真核生物的调控相互作用方面有大量数据不断增长,但目前还没有数据库能够提供针对多个物种的经过精心整理的高质量转录因子-靶基因相互作用信息。在这里,我们通过引入 TFLink 网关来解决这一差距,该网关通过整合 10 个资源,为人类和 6 个模式生物(小鼠、大鼠、斑马鱼、果蝇、线虫和酵母)提供了经过实验探索的、高度准确的转录因子-靶基因相互作用(约 1200 万)、转录因子结合位点的核苷酸序列和基因组位置(约 900 万)的信息。TFLink 提供了用户友好的数据访问方式,可获取转录因子-靶基因相互作用、交互式网络可视化和转录因子结合位点的信息,并与其他几个数据库建立了链接。除了包含准确的转录因子信息外,TFLink 还清楚地标记了实验的类型/规模(小规模或高通量)、源数据库和原始出版物,还提供了大量标准化的调控数据,可多种格式下载。该数据库为湿实验研究人员提供了便捷获取高质量数据的途径,为基因集富集分析提供了数据,并促进了系统生物学和比较基因调控研究。数据库网址:https://tflink.net/。