Center for Systems Biology

描述(由申请人提供)：将在华盛顿州西雅图的系统生物学研究所(ISB)建立一个系统生物学中心，以实现以下目标：1)发展一种机构结构和文化，通过专业活动和向更广泛的社区拓展，促进多学科研究和职业发展；2)开发新的系统级工具和方法，以了解动态的生物网络和复杂性，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)发展核心设施，作为协作技术开发、实施和在各种生物系统中应用的场所；4)促进系统生物学和探究式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组织：模拟生物系统(嗜盐细菌和酵母)；哺乳动物系统(免疫和疾病血液标记物诊断)；以及计算生物学。这项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)。合作互动还将通过学术和产业伙伴关系进行。复杂的生物系统以内部调控程序和外部环境因素为特征，这些因素刺激了基因和蛋白质网络之间的多重相互作用。阐明这些生物网络元素之间的关键关系构成了系统生物学的学科挑战。生物网络的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，破译生物复杂性动力学的需要推动了实验工具和方法的发明，以处理不同类型的数据，并协调地开发有效的计算策略，将数据转化为信息，转化为知识。在由生物学家、技术专家和计算机科学家组成的团队说共同语言的多学科环境中，系统生物学研究进展最有成效。为了促进学习和互动，该中心将开发课程、研讨会、研讨会、实习和休假机会，旨在促进系统生物学家的职业发展和培训。该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年级提供广泛的以探究为基础的科学教育计划，因为提高科学素养是21世纪文化的要求。一种系统的疾病治疗方法将给医学带来革命性的变化，因为可以通过检测网络扰动的血液测试来做出非常早期的诊断--从而使许多癌症和其他慢性病能够通过常规治疗得到治愈或有效控制。药物发现和副作用检测也将通过系统方法发生革命性变化。在接下来的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。

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.