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

被引:60
作者
Korcsmaros, Tamas [1 ,2 ]
Farkas, Illes J. [3 ]
Szalay, Mate S. [1 ]
Rovo, Petra [2 ]
Fazekas, David [2 ]
Spiro, Zoltan [1 ]
Bode, Csaba [4 ]
Lenti, Katalin [5 ]
Vellai, Tibor [2 ]
Csermely, Peter [1 ]
机构
[1] Semmelweis Univ, Dept Med Chem, H-1444 Budapest, Hungary
[2] Eotvos Lorand Univ, Dept Genet, H-1117 Budapest, Hungary
[3] Hungarian Acad Sci, Stat & Biol Phys Grp, H-1117 Budapest, Hungary
[4] Morgan Stanley Hungary Analyt Ltd, H-1095 Budapest, Hungary
[5] Semmelweis Univ, Dept Morphol & Physiol, H-1088 Budapest, Hungary
关键词
NETWORKS; EVOLUTION; DATABASE; GENES; RESOURCE; BIOLOGY; SEARCH; CANCER; TERMS; ROR2;
D O I
10.1093/bioinformatics/btq310
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:2042 / 2050
页数:9
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