Uniformly curated signaling pathways reveal tissue-specific cross-talks and support drug target discovery

作者：Korcsmaros Tamas; Farkas Illes J; Szalay Mate S; Rovo Petra; Fazekas David; Spiro Zoltan; Bode Csaba; Lenti Katalin; Vellai Tibor; Csermely Peter^*

来源：Bioinformatics, 2010, 26(16): 2042-2050.

DOI：10.1093/bioinformatics/btq310

Motivation: 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.
Results: We present SignaLink, a database containing eight major signaling pathways from Caenorhabditis elegans, Drosophila melanogaster and humans. Based on 170 review and similar to 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.
Conclusions: 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.

• 出版日期2010-8-15