title: CyTargetLinker: a cytoscape app to integrate regulatory interactions in network analysis.
abstract: BACKGROUND
  The high complexity and dynamic nature of the regulation of gene expression, protein synthesis, and protein activity pose a challenge to fully understand the cellular machinery. By deciphering the role of important players, including transcription factors, microRNAs, or small molecules, a better understanding of key regulatory processes can be obtained. Various databases contain information on the interactions of regulators with their targets for different organisms, data recently being extended with the results of the ENCODE (Encyclopedia of DNA Elements) project. A systems biology approach integrating our understanding on different regulators is essential in interpreting the regulation of molecular biological processes.
  
  
  METHODS
  We developed CyTargetLinker (http://projects.bigcat.unimaas.nl/cytargetlinker), a Cytoscape app, for integrating regulatory interactions in network analysis. Recently we released CyTargetLinker as one of the first apps for Cytoscape 3. It provides a user-friendly and flexible interface to extend biological networks with regulatory interactions, such as microRNA-target, transcription factor-target and/or drug-target. Importantly, CyTargetLinker employs identifier mapping to combine various interaction data resources that use different types of identifiers.
  
  
  RESULTS
  Three case studies demonstrate the strength and broad applicability of CyTargetLinker, (i) extending a mouse molecular interaction network, containing genes linked to diabetes mellitus, with validated and predicted microRNAs, (ii) enriching a molecular interaction network, containing DNA repair genes, with ENCODE transcription factor and (iii) building a regulatory meta-network in which a biological process is extended with information on transcription factor, microRNA and drug regulation.
  
  
  CONCLUSIONS
  CyTargetLinker provides a simple and extensible framework for biologists and bioinformaticians to integrate different regulatory interactions into their network analysis approaches. Visualization options enable biological interpretation of complex regulatory networks in a graphical way. Importantly the incorporation of our tool into the Cytoscape framework allows the application of CyTargetLinker in combination with a wide variety of other apps for state-of-the-art network analysis.
authors: Department of Bioinformatics - BiGCaT, NUTRIM School for Nutrition, Toxicology and Metabolism, University of Maastricht, Maastricht, The Netherlands ; Netherlands Consortium for Systems Biology (NCSB), Amsterdam, The Netherlands.
authors: Martina
authors: M
authors: Kutmon
authors: Thomas
authors: T
authors: Kelder
authors: Pooja
authors: P
authors: Mandaviya
authors: Chris T A
authors: CT
authors: Evelo
authors: Susan L
authors: SL
authors: Coort
mesh_terms: D000818:Animals; D030541:Databases, Genetic; D003920:Diabetes Mellitus / Q000235:genetics / Q000378:metabolism; D004843:Epistasis, Genetic; D005786:Gene Expression Regulation; D006801:Humans; D020407:Internet; D051379:Mice; D016571:Neural Networks, Computer; D014158:Transcription, Genetic