Center for Systems Biology

系统生物学中心

• 批准号: 8117362
• 负责人: LEROY E HOOD
• 金额: $ 3.65万
• 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 2012-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8117362
• 关键词: Adverse effects; Algorithms; Biological; Biology; Blood Tests; Chronic; Commit; Communities; Computational Biology; Computers; Core Facility; Data; Detection; Development; Diagnostic; Disease; Early Diagnosis; Educational workshop; Elements; Environment; Environmental Risk Factor; Fostering; Foundations; Gene Proteins; Genomics; Goals; Halobacterium; Hematological Disease; Image; Immunity; Institutes; Interdisciplinary Study; Internships; Knowledge; Language; Learning; Malignant Neoplasms; Measurement; Medicine; Methodology; Microfluidics; Modeling; Preventive; Procedures; Proteomics; Research; Resource Sharing; Scientist; Speed; Structure; System; Systems Biology; Technology; Training; Yeasts; base; biological systems; career development; complex biological systems; computerized tools; conventional therapy; drug discovery; halobacteria; improved; innovation; literacy; multidisciplinary; new technology; outreach; programs; science education; symposium; technology development; tool

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.

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) 发展一种制度结构和文化，通过专业活动和外展来促进多学科研究和职业发展。更广泛的社区； 2）开发新的系统级工具和方法来理解动态生物网络和复杂性，并利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，作为各种生物系统中协作技术开发、实施和应用的场所； 4) 促进系统生物学和基于探究的 K-12 科学教育的创新培训机会。该中心将围绕三个研究重点进行组织：模型生物系统（盐细菌和酵母）；哺乳动物系统（免疫和疾病血液标记诊断）；和计算生物学。该研究将得到四个核心设施的支持（基因组学、蛋白质组学、微流体和成像、以及计算生物学支持）。协作互动也将通过学术和工业伙伴关系进行。 复杂的生物系统的特点是内部调节程序和外部环境因素刺激基因和蛋白质网络之间的多重相互作用。阐明这些生物网络要素之间的关键关系构成了系统生物学的学科挑战。生物网络分析需要使用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要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信息转化为知识的有效计算策略。系统生物学研究在生物学家、技术专家和计算机科学家团队使用共同语言的多学科环境中进行得最有成效。为了刺激学习和互动，该中心将开发课程、研讨会、讲习班、实习和休假机会，旨在为系统生物学家提供职业发展和培训。中心致力于与科学界共享资源和成果；该中心还致力于为 K-12 年级提供广泛的基于探究的科学教育计划，因为提高科学素养是 21 世纪文化的要求。 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来进行非常早期的诊断，从而允许通过常规治疗治愈或有效管理许多癌症和其他慢性病。系统方法也将彻底改变药物发现和副作用检测。在未来 5 到 20 年里，系统生物学将成为预测、预防和个性化医学的基础。