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Nucleic Acids Research 2006 34(Database Issue):D527-D534; doi:10.1093/nar/gkj044
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Nucleic Acids Research, 2006, Vol. 34, Database issue D527-D534
© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oxfordjournals.org

Article

pSTIING: a ‘systems’ approach towards integrating signalling pathways, interaction and transcriptional regulatory networks in inflammation and cancer

Aylwin Ng, Borisas Bursteinas, Qiong Gao, Ewan Mollison and Marketa Zvelebil*

Bioinformatics and Systems Biology Group, Ludwig Institute for Cancer Research, UCL Branch London W1W 7BS, UK

*To whom correspondence should be addressed. Tel: +44 20 7878 4012; Fax: +44 20 7878 4040; Email: marketa{at}ludwig.ucl.ac.uk

Received August 15, 2005. Revised October 4, 2005. Accepted October 4, 2005.

pSTIING (http://pstiing.licr.org) is a new publicly accessible web-based application and knowledgebase featuring 65 228 distinct molecular associations (comprising protein–protein, protein–lipid, protein–small molecule interactions and transcriptional regulatory associations), ligand–receptor–cell type information and signal transduction modules. It has a particular major focus on regulatory networks relevant to chronic inflammation, cell migration and cancer. The web application and interface provide graphical representations of networks allowing users to combine and extend transcriptional regulatory and signalling modules, infer molecular interactions across species and explore networks via protein domains/motifs, gene ontology annotations and human diseases. pSTIING also supports the direct cross-correlation of experimental results with interaction information in the knowledgebase via the CLADIST tool associated with pSTIING, which currently analyses and clusters gene expression, proteomic and phenotypic datasets. This allows the contextual projection of co-expression patterns onto prior network information, facilitating the identification of functional modules in physiologically relevant systems.


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