pSTIING: a 'systems' approach towards integrating signalling pathways, interaction and transcriptional regulatory networks in inflammation and cancer.
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.
Ng
Aylwin
A
Bioinformatics and Systems Biology Group, Ludwig Institute for Cancer Research, UCL Branch London, W1W 7BS, UK.
Bursteinas
Borisas
B
Gao
Qiong
Q
Mollison
Ewan
E
Zvelebil
Marketa
M
D020816:Amino Acid Motifs; D002465:Cell Movement; D003196:Computer Graphics; D030541:Databases, Genetic; D006801:Humans; D007249:Inflammation / Q000235:genetics / Q000378:metabolism*; D020407:Internet; D009369:Neoplasms / Q000235:genetics / Q000378:metabolism*; D025941:Protein Interaction Mapping; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000378:metabolism*; D040901:Proteomics; D017386:Sequence Homology, Amino Acid; D015398:Signal Transduction; D018511:Systems Integration; D014157:Transcription Factors / Q000378:metabolism*; D015533:Transcriptional Activation; D014584:User-Computer Interface
D011506:Proteins; D014157:Transcription Factors