Biology – Quantitative Biology – Molecular Networks
Scientific paper
2010-08-24
Bioinformatics 26, 2042-2050 (2010)
Biology
Quantitative Biology
Molecular Networks
9 pages, 4 figures, 2 tables and a supplementary info with 5 Figures and 13 Tables
Scientific paper
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 8 major signaling pathways from Caenorhabditis elegans, Drosophila melanogaster, and humans. Based on 170 review and approx. 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 8 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. Availability: http://SignaLink.org
Bode Csaba
Csermely Peter
Farkas Illes J.
Fazekas David
Korcsmaros Tamas
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