Elucidation of Protein Networks Implicated in Brca

阐明 Brca 涉及的蛋白质网络

• 批准号: 6882989
• 负责人: TATIANA A NIKOLSKAYA
• 金额: $ 9.99万
• 依托单位: GENEGO, INC.
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-02-01 至 2006-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6882989
• 关键词: brca gene; breast neoplasm /cancer diagnosis; breast neoplasms; cancer registry /resource; computational biology; computer assisted sequence analysis; diagnosis design /evaluation; human data; microarray technology; molecular biology information system; neoplasm /cancer genetics; prognosis; brca gene; breast neoplasm /cancer diagnosis; breast neoplasms; cancer registry /resource; computational biology; computer assisted sequence analysis; diagnosis design /evaluation; human data; microarray technology; molecular biology information system; neoplasm /cancer genetics; prognosis

DESCRIPTION (provided by applicant): We propose to apply a novel systems biology technology for elucidation of human functional pathways implicated in breast cancer. We will analyze publicly available disease's microarray gene expression data in our data mining suit MetaCore and reconstruct signaling, regulatory and metabolic networks specifically affected in the disease. MetaCore consists of a comprehensive database of human pathways and protein interactions from experimental literature, visualization and network reconstruction tools. Using multiple network building and comparison algorithms, we will elucidate the network modules that are either associated with specific tumor subtypes (for example, associated with estrogen receptor status, mutations in BRCA1, BRCA2 and other genes) or could be predictive of treatment response and metastasis prognosis. We call these characteristic modules "signature networks". Unlike "molecular signatures" - lists of unconnected genes identified by clustering of microarray data points, such networks reflect and reveal the disease mechanisms. Conditional "signature networks" will be used as a novel type of diagnostics and a source for novel drug targets for breast cancer.

描述（由申请人提供）： 我们建议将新型系统生物学技术应用于涉及乳腺癌的人类功能途径。我们将分析在我们的数据挖掘套件元素中公开可用的微阵列基因表达数据，并重建特异性影响该疾病的信号传导，调节性和代谢网络。 Metacore由实验文献，可视化和网络重建工具的人类途径和蛋白质相互作用的全面数据库组成。使用多个网络构建和比较算法，我们将阐明与特定肿瘤亚型相关的网络模块（例如，与雌激素受体状态，BRCA1，BRCA2和其他基因中的突变相关），或者可以预测治疗反应和转移预后。 我们称这些特征模块为“签名网络”。与“分子特征”不同 - 通过微阵列数据点聚类确定的未连接基因列表，此类网络反映并揭示了疾病机制。有条件的“签名网络”将用作一种新型的诊断类型，也将用作乳腺癌的新型药物靶标的来源。