Fazekas Dávid, Koltai Mihály, Türei Dénes, Módos Dezső, Pálfy Máté, Dúl Zoltán, Zsákai Lilian, Szalay-Bekő Máté, Lenti Katalin, Farkas Illés J, Vellai Tibor, Csermely Péter, Korcsmáros Tamás
Department of Genetics, Eötvös Loránd University, Pázmány P, s, 1C, H-1117, Budapest, Hungary.
BMC Syst Biol. 2013 Jan 18;7:7. doi: 10.1186/1752-0509-7-7.
Signaling networks in eukaryotes are made up of upstream and downstream subnetworks. The upstream subnetwork contains the intertwined network of signaling pathways, while the downstream regulatory part contains transcription factors and their binding sites on the DNA as well as microRNAs and their mRNA targets. Currently, most signaling and regulatory databases contain only a subsection of this network, making comprehensive analyses highly time-consuming and dependent on specific data handling expertise. The need for detailed mapping of signaling systems is also supported by the fact that several drug development failures were caused by undiscovered cross-talk or regulatory effects of drug targets. We previously created a uniformly curated signaling pathway resource, SignaLink, to facilitate the analysis of pathway cross-talks. Here, we present SignaLink 2, which significantly extends the coverage and applications of its predecessor.
We developed a novel concept to integrate and utilize different subsections (i.e., layers) of the signaling network. The multi-layered (onion-like) database structure is made up of signaling pathways, their pathway regulators (e.g., scaffold and endocytotic proteins) and modifier enzymes (e.g., phosphatases, ubiquitin ligases), as well as transcriptional and post-transcriptional regulators of all of these components. The user-friendly website allows the interactive exploration of how each signaling protein is regulated. The customizable download page enables the analysis of any user-specified part of the signaling network. Compared to other signaling resources, distinctive features of SignaLink 2 are the following: 1) it involves experimental data not only from humans but from two invertebrate model organisms, C. elegans and D. melanogaster; 2) combines manual curation with large-scale datasets; 3) provides confidence scores for each interaction; 4) operates a customizable download page with multiple file formats (e.g., BioPAX, Cytoscape, SBML). Non-profit users can access SignaLink 2 free of charge at http://SignaLink.org.
With SignaLink 2 as a single resource, users can effectively analyze signaling pathways, scaffold proteins, modifier enzymes, transcription factors and miRNAs that are important in the regulation of signaling processes. This integrated resource allows the systems-level examination of how cross-talks and signaling flow are regulated, as well as provide data for cross-species comparisons and drug discovery analyses.
真核生物中的信号网络由上游和下游子网组成。上游子网包含相互交织的信号通路网络,而下游调节部分包含转录因子及其在DNA上的结合位点以及微小RNA及其mRNA靶标。目前,大多数信号和调节数据库仅包含该网络的一个子部分,这使得全面分析非常耗时且依赖于特定的数据处理专业知识。药物开发失败的几个案例是由未发现的药物靶点的串扰或调节作用导致的,这一事实也支持了对信号系统进行详细映射的必要性。我们之前创建了一个统一整理的信号通路资源SignaLink,以促进对通路串扰的分析。在此,我们展示SignaLink 2,它显著扩展了其前身的覆盖范围和应用。
我们开发了一种新颖的概念来整合和利用信号网络的不同子部分(即层)。多层(类似洋葱)数据库结构由信号通路、其通路调节因子(如支架蛋白和内吞蛋白)和修饰酶(如磷酸酶、泛素连接酶)以及所有这些成分的转录和转录后调节因子组成。用户友好的网站允许交互式探索每个信号蛋白是如何被调节的。可定制的下载页面能够分析信号网络中任何用户指定的部分。与其他信号资源相比,SignaLink 2的独特特征如下:1)它不仅涉及来自人类的实验数据,还涉及来自两种无脊椎动物模式生物秀丽隐杆线虫和黑腹果蝇的实验数据;2)将人工整理与大规模数据集相结合;3)为每个相互作用提供置信度分数;4)运行具有多种文件格式(如BioPAX、Cytoscape、SBML)的可定制下载页面。非营利用户可在http://SignaLink.org免费访问SignaLink 2。
有了SignaLink 2这一单一资源,用户可以有效地分析在信号过程调节中重要的信号通路、支架蛋白、修饰酶、转录因子和微小RNA。这种整合资源允许对串扰和信号流如何被调节进行系统层面的检查,并为跨物种比较和药物发现分析提供数据。