Department of Genetics, Eötvös University, Budapest, Hungary.
Bioinformatics. 2010 Aug 15;26(16):2042-50. doi: 10.1093/bioinformatics/btq310. Epub 2010 Jun 11.
Signaling pathways control a large variety of cellular processes. However, currently, even within the same database signaling pathways are often curated at different levels of detail. This makes comparative and cross-talk analyses difficult.
We present SignaLink, a database containing eight major signaling pathways from Caenorhabditis elegans, Drosophila melanogaster and humans. Based on 170 review and approximately 800 research articles, we have compiled pathways with semi-automatic searches and uniform, well-documented curation rules. We found that in humans any two of the eight pathways can cross-talk. We quantified the possible tissue- and cancer-specific activity of cross-talks and found pathway-specific expression profiles. In addition, we identified 327 proteins relevant for drug target discovery.
We provide a novel resource for comparative and cross-talk analyses of signaling pathways. The identified multi-pathway and tissue-specific cross-talks contribute to the understanding of the signaling complexity in health and disease, and underscore its importance in network-based drug target selection.
信号通路控制着大量的细胞过程。然而,即使在同一个数据库中,信号通路通常也会以不同的详细程度进行注释。这使得比较和串扰分析变得困难。
我们介绍了 SignaLink,这是一个包含来自秀丽隐杆线虫、黑腹果蝇和人类的 8 种主要信号通路的数据库。基于 170 篇综述和大约 800 篇研究文章,我们通过半自动搜索和统一的、有充分记录的注释规则来构建途径。我们发现,在人类中,这 8 种途径中的任意两种都可以发生串扰。我们量化了串扰的可能组织和癌症特异性活性,并找到了途径特异性的表达谱。此外,我们还确定了 327 种与药物靶点发现相关的蛋白质。
我们提供了一个用于信号通路比较和串扰分析的新资源。鉴定出的多途径和组织特异性串扰有助于理解健康和疾病中的信号复杂性,并强调了其在基于网络的药物靶点选择中的重要性。