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

Tamás Korcsmáros, Illés J. Farkas, Máté S. Szalay, Petra Rovó, Dávid Fazekas, Zoltán Spiró, Csaba Bode, Katalin Lenti, Tibor Vellai, Péter Csermely

Research output: Contribution to journalArticle

59 Citations (Scopus)

Abstract

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 ~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.

Original languageEnglish
Article numberbtq310
Pages (from-to)2042-2050
Number of pages9
JournalBioinformatics
Volume26
Issue number16
DOIs
Publication statusPublished - Jun 11 2010

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ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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