Zhang Shihua, Zhang Liang, Wang Yijun, Yang Jian, Liao Mingzhi, Bi Shoudong, Xie Zhongwen, Ho Chi-Tang, Wan Xiaochun
State Key Laboratory of Tea Plant Biology and Utilization, Institute of Applied Mathematics, Anhui Agricultural University, Hefei, China.
Department of Genetics, University of Georgia, Athens, GA, United States.
Front Plant Sci. 2018 Feb 22;9:211. doi: 10.3389/fpls.2018.00211. eCollection 2018.
Tea is one of the most popular non-alcoholic beverages consumed worldwide. Numerous bioactive constituents of tea were confirmed to possess healthy benefits via the mechanisms of regulating gene expressions or protein activities. However, a complete interacting profile between tea bioactive compounds (TBCs) and their target genes is lacking, which put an obstacle in the study of healthy function of tea. To fill this gap, we developed a database of target genes of TBCs (TBC2target, http://camellia.ahau.edu.cn/TBC2target) based on a pharmacophore mapping approach. In TBC2target, 6,226 interactions between 240 TBCs and 673 target genes were documented. TBC2target contains detailed information about each interacting entry, such as TBC, CAS number, PubChem CID, source of compound (e.g., green, black), compound type, target gene(s) of TBC, gene symbol, gene ID, ENSEMBL ID, PDB ID, TBC bioactivity and the reference. Using the TBC-target associations, we constructed a bipartite network and provided users the global network and local sub-network visualization and topological analyses. The entire database is free for online browsing, searching and downloading. In addition, TBC2target provides a BLAST search function to facilitate use of the database. The particular strengths of TBC2target are the inclusion of the comprehensive TBC-target interactions, and the capacity to visualize and analyze the interacting networks, which may help uncovering the beneficial effects of tea on human health as a central resource in tea health community.
茶是全球消费最广泛的非酒精饮料之一。茶的众多生物活性成分已被证实可通过调节基因表达或蛋白质活性的机制带来健康益处。然而,茶生物活性化合物(TBCs)与其靶基因之间完整的相互作用图谱尚缺乏,这给茶健康功能的研究带来了障碍。为填补这一空白,我们基于药效团映射方法开发了一个TBCs靶基因数据库(TBC2target,http://camellia.ahau.edu.cn/TBC2target)。在TBC2target中,记录了240种TBCs与673个靶基因之间的6226种相互作用。TBC2target包含每个相互作用条目的详细信息,如TBC、CAS编号、PubChem CID、化合物来源(如绿茶、红茶)、化合物类型、TBC的靶基因、基因符号、基因ID、ENSEMBL ID、PDB ID、TBC生物活性及参考文献。利用TBC - 靶标关联,我们构建了一个二分网络,并为用户提供全局网络和局部子网的可视化及拓扑分析。整个数据库可免费在线浏览、搜索和下载。此外,TBC2target提供了一个BLAST搜索功能以方便数据库的使用。TBC2target的独特优势在于包含了全面的TBC - 靶标相互作用,以及可视化和分析相互作用网络的能力,这可能有助于作为茶健康领域的核心资源揭示茶对人类健康的有益影响。