Department of Biology, Saint Louis University, St. Louis, MO, USA.
Parks College of Engineering, Aviation and Technology, Program in Computer Engineering, Saint Louis University, St. Louis, MO, USA.
Database (Oxford). 2019 Jan 1;2019. doi: 10.1093/database/baz048.
The transcription initiation landscape of eukaryotic genes is complex and highly dynamic. In eukaryotes, genes can generate multiple transcript variants that differ in 5' boundaries due to usages of alternative transcription start sites (TSSs), and the abundance of transcript isoforms are highly variable. Due to a large number and complexity of the TSSs, it is not feasible to depict details of transcript initiation landscape of all genes using text-format genome annotation files. Therefore, it is necessary to provide data visualization of TSSs to represent quantitative TSS maps and the core promoters (CPs). In addition, the selection and activity of TSSs are influenced by various factors, such as transcription factors, chromatin remodeling and histone modifications. Thus, integration and visualization of functional genomic data related to these features could provide a better understanding of the gene promoter architecture and regulatory mechanism of transcription initiation. Yeast species play important roles for the research and human society, yet no database provides visualization and integration of functional genomic data in yeast. Here, we generated quantitative TSS maps for 12 important yeast species, inferred their CPs and built a public database, YeasTSS (www.yeastss.org). YeasTSS was designed as a central portal for visualization and integration of the TSS maps, CPs and functional genomic data related to transcription initiation in yeast. YeasTSS is expected to benefit the research community and public education for improving genome annotation, studies of promoter structure, regulated control of transcription initiation and inferring gene regulatory network.
真核基因的转录起始景观复杂且高度动态。在真核生物中,由于使用了不同的转录起始位点(TSS),基因可以产生多个在 5' 边界处不同的转录变体,并且转录本异构体的丰度差异很大。由于 TSS 的数量和复杂性,使用文本格式的基因组注释文件来描绘所有基因的转录起始景观细节是不可行的。因此,需要提供 TSS 的数据可视化,以表示定量 TSS 图谱和核心启动子(CP)。此外,TSS 的选择和活性受到转录因子、染色质重塑和组蛋白修饰等多种因素的影响。因此,整合和可视化与这些特征相关的功能基因组数据可以更好地理解基因启动子结构和转录起始的调控机制。酵母物种在研究和人类社会中发挥着重要作用,但没有数据库提供酵母中功能基因组数据的可视化和整合。在这里,我们为 12 种重要的酵母物种生成了定量 TSS 图谱,推断了它们的 CP,并构建了一个公共数据库 YeasTSS(www.yeastss.org)。YeasTSS 被设计为酵母中转录起始相关 TSS 图谱、CP 和功能基因组数据可视化和整合的中心门户。YeasTSS 有望为改善基因组注释、启动子结构研究、转录起始的调控控制和推断基因调控网络的研究社区和公众教育带来益处。