Informatics and Bio-computing Platform, Ontario Institute for Cancer Research, Toronto, ON, M5G0A3, Canada.
Cancers (Basel). 2012 Nov 8;4(4):1180-211. doi: 10.3390/cancers4041180.
Reactome describes biological pathways as chemical reactions that closely mirror the actual physical interactions that occur in the cell. Recent extensions of our data model accommodate the annotation of cancer and other disease processes. First, we have extended our class of protein modifications to accommodate annotation of changes in amino acid sequence and the formation of fusion proteins to describe the proteins involved in disease processes. Second, we have added a disease attribute to reaction, pathway, and physical entity classes that uses disease ontology terms. To support the graphical representation of "cancer" pathways, we have adapted our Pathway Browser to display disease variants and events in a way that allows comparison with the wild type pathway, and shows connections between perturbations in cancer and other biological pathways. The curation of pathways associated with cancer, coupled with our efforts to create other disease-specific pathways, will interoperate with our existing pathway and network analysis tools. Using the Epidermal Growth Factor Receptor (EGFR) signaling pathway as an example, we show how Reactome annotates and presents the altered biological behavior of EGFR variants due to their altered kinase and ligand-binding properties, and the mode of action and specificity of anti-cancer therapeutics.
Reactome 将生物途径描述为化学反 应,这些反应与细胞中实际发生的物理相互作用非常相似。我们的数据模型的最新扩展适用于癌症和其他疾病过程的注释。首先,我们已经扩展了蛋白质修饰的类,以适应氨基酸序列变化和融合蛋白形成的注释,以描述涉及疾病过程的蛋白质。其次,我们已为反应、途径和物理实体类添加了一个疾病属性,该属性使用疾病本体论术语。为了支持“癌症”途径的图形表示,我们已经调整了我们的途径浏览器,以一种允许与野生型途径进行比较的方式显示疾病变体和事件,并显示癌症和其他生物途径中的干扰之间的连接。与癌症相关的途径的编纂,以及我们创建其他疾病特异性途径的努力,将与我们现有的途径和网络分析工具互操作。以表皮生长因子受体 (EGFR) 信号通路为例,我们展示了 Reactome 如何注释和呈现由于其激酶和配体结合特性改变而导致的 EGFR 变体的改变的生物学行为,以及抗癌治疗药物的作用模式和特异性。