Mosca Ettore, Alfieri Roberta, Merelli Ivan, Viti Federica, Calabria Andrea, Milanesi Luciano
Institute for Biomedical Technologies, National Research Council, Segrate (Milan), Italy.
BMC Syst Biol. 2010 Jun 3;4:76. doi: 10.1186/1752-0509-4-76.
Breast cancer is one of the most common cancer types. Due to the complexity of this disease, it is important to face its study with an integrated and multilevel approach, from genes, transcripts and proteins to molecular networks, cell populations and tissues. According to the systems biology perspective, the biological functions arise from complex networks: in this context, concepts like molecular pathways, protein-protein interactions (PPIs), mathematical models and ontologies play an important role for dissecting such complexity.
In this work we present the Genes-to-Systems Breast Cancer (G2SBC) Database, a resource which integrates data about genes, transcripts and proteins reported in literature as altered in breast cancer cells. Beside the data integration, we provide an ontology based query system and analysis tools related to intracellular pathways, PPIs, protein structure and systems modelling, in order to facilitate the study of breast cancer using a multilevel perspective. The resource is available at the URL http://www.itb.cnr.it/breastcancer.
The G2SBC Database represents a systems biology oriented data integration approach devoted to breast cancer. By means of the analysis capabilities provided by the web interface, it is possible to overcome the limits of reductionist resources, enabling predictions that can lead to new experiments.
乳腺癌是最常见的癌症类型之一。由于这种疾病的复杂性，采用从基因、转录本和蛋白质到分子网络、细胞群体和组织的综合多层次方法来研究它很重要。从系统生物学的角度来看，生物功能源于复杂的网络：在这种情况下，分子途径、蛋白质-蛋白质相互作用（PPI）、数学模型和本体等概念对于剖析这种复杂性起着重要作用。
在这项工作中，我们展示了基因到系统乳腺癌（G2SBC）数据库，这是一个整合了文献中报道的乳腺癌细胞中发生改变的基因、转录本和蛋白质数据的资源。除了数据整合，我们还提供了一个基于本体的查询系统以及与细胞内途径、PPI、蛋白质结构和系统建模相关的分析工具，以便从多层次角度促进对乳腺癌的研究。该资源可通过网址http://www.itb.cnr.it/breastcancer获取。
G2SBC数据库代表了一种面向系统生物学的乳腺癌数据整合方法。通过网络界面提供的分析功能，可以克服还原论资源的局限性，实现能够引导新实验的预测。
