pSTIING: a 'systems' approach towards integrating signalling pathways, interaction and transcriptional regulatory networks in inflammation and cancer
pSTIING: a 'systems' approach towards integrating signalling pathways, interaction and transcriptional regulatory networks in inflammation and cancer
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DOI：
10.1093/nar/gkj044
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发表时间：
2006-01-01
影响因子：
14.9
通讯作者：
Zvelebil, Marketa
中科院分区：
文献类型：
--
作者：
Ng, Aylwin;Bursteinas, Borisas;Zvelebil, Marketa
pSTIING (http://pstiing.licr.org) 是一个新的可公开访问的基于网络的应用程序和知识库，具有 65 228 个不同的分子关联（包括蛋白质-蛋白质、蛋白质-脂质、蛋白质-小分子相互作用和转录调控关联）、配体-受体-细胞类型信息和信号转导模块。它特别关注与慢性炎症、细胞迁移和癌症相关的监管网络。网络应用程序和界面提供网络的图形表示，允许用户组合和扩展转录调控和信号传导模块，推断跨物种的分子相互作用，并通过蛋白质结构域/基序、基因本体注释和人类疾病探索网络。 pSTIING 还支持通过与 pSTIING 相关的 CLADIST 工具将实验结果与知识库中的交互信息直接互相关，该工具目前对基因表达、蛋白质组和表型数据集进行分析和聚类。这允许将共表达模式的上下文投影到先前的网络信息上，从而促进生理相关系统中功能模块的识别。
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.