Center for Systems Biology

系统生物学中心

• 批准号: 7029210
• 负责人: LEROY E HOOD
• 金额: $ 365.11万
• 依托单位: INSTITUTE FOR SYSTEMS BIOLOGY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-03-03 至 2011-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7029210
• 关键词: clinical research; systematic biology

DESCRIPTION (provided by applicant): A Center for Systems Biology will be established at the Institute for Systems Biology (ISB) in Seattle, WA, to accomplish the following goals: 1) Develop an institutional structure and culture that fosters multidisciplinary research and career development through professional activities and outreach to the wider community; 2) Develop new systems level tools and approaches to understanding dynamic biological networks and complexity and to use the measurement needs of biology to drive the development of new technologies and computational tools; 3) Develop core facilities that serve as venues for collaborative technology development, implementation, and application in a variety of biological systems; and 4) Promote innovative training opportunities for systems biology and inquiry-based K-12 science education. The Center will be organized around three research foci: model biological systems (halobacteria and yeast); mammalian systems (immunity and disease blood marker diagnostics); and computational biology. The research will be supported by four core facilities (genomics; proteomics; microfluidics and imaging; and computational biology support). Collaborative interactions will also occur through academic and industrial partnerships. Complex biological systems are characterized by internal regulatory programs and external environmental factors that stimulate multiple interactions between networks of genes and proteins. Elucidating the key relationships among elements of these biological networks constitutes the disciplinary challenge of systems biology. Analysis of biological networks requires technologies for collecting quantitative data using procedures with high-throughput speed and accuracy, and sophisticated mathematical and statistical algorithms. Thus, the need to decipher the dynamics of biological complexity drives the invention of experimental tools and methodologies for handling different types of data and, coordinately, the development of effective computational strategies for turning data into information into knowledge. Systems biology research proceeds most productively in a multidisciplinary environment where teams of biologists, technologists, and computer scientists speak a common language. To stimulate learning and interaction the Center will develop courses, symposia, workshops, internships, and sabbatical opportunities aimed at career development and training for systems biologists. The Center is committed to sharing resources and results with the scientific community; the Center is also committed to an extensive inquiry-based science education program for grades K-12 because improved scientific literacy is a requirement for 21st century culture. A systems approach to disease will revolutionize medicine in that very early diagnoses may be made from a blood test that detects network perturbations-thus permitting many cancers and other chronic conditions to be cured or effectively managed by conventional treatments. Drug discovery and detection of side effects will also be revolutionized by a systems approach. Over the next 5 to 20 years, systems biology will serve as the foundation for predictive, preventive and personalized medicine.

描述（由申请人提供）：系统生物学中心将在华盛顿州西雅图的系统生物学研究所（ISB）建立，以实现以下目标：1）开发一种制度结构和文化，以促进通过专业活动和向更广泛的社区推广的多学科研究和职业发展； 2）开发新的系统级工具和方法来了解动态生物网络和复杂性，并使用生物学的测量需求来推动新技术和计算工具的开发； 3）开发核心设施，这些设施是在各种生物系统中的协作技术开发，实施和应用的场所； 4）为系统生物学和基于询问的K-12科学教育促进创新的培训机会。该中心将在三个研究焦点周围组织：模型生物系统（卤素和酵母）；哺乳动物系统（免疫和疾病血液标记诊断）；和计算生物学。这项研究将得到四个核心设施（基因组学；蛋白质组学；微流体和成像；以及计算生物学支持）的支持。协作互动也将通过学术和工业合作伙伴关系进行。复杂的生物系统的特征是内部调节程序和外部环境因素，这些因素刺激基因和蛋白质网络之间的多种相互作用。阐明这些生物网络元素之间的关键关系构成了系统生物学的纪律挑战。对生物网络的分析需要使用具有高通量速度和准确性的程序以及复杂的数学和统计算法来收集定量数据的技术。因此，破译生物复杂性动态的需求推动了用于处理不同类型数据的实验工具和方法的发明，并协调地开发了将数据转化为知识的有效计算策略。系统生物学研究在多学科的环境中进行最有效地进行，在该环境中，生物学家，技术人员和计算机科学家团队会说一种通用语言。为了刺激学习和互动，该中心将开发旨在用于系统生物学家职业发展和培训的课程，研讨会，研讨会，实习和休假机会。该中心致力于与科学界共享资源和结果；该中心还致力于针对K-12年级的广泛基于询问的科学教育计划，因为改善的科学素养是21世纪文化的必要条件。疾病的系统方法将彻底改变医学，因为可以通过检测网络扰动的血液测试进行早期诊断 - 因此，允许许多癌症和其他慢性病可以通过常规治疗方法治愈或有效治疗。药物发现和副作用的检测也将通过系统方法革命。在接下来的5到20年中，系统生物学将成为预测，预防和个性化医学的基础。