Center for Systems Biology

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)通过专业活动和向更广泛的社区推广，发展促进多学科研究和职业发展的制度结构和文化；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，并使用生物学的测量需求来推动新技术和计算工具的发展；3)开发核心设施，作为各种生物系统协同技术开发、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：模式生物系统（盐杆菌和酵母）；哺乳动物系统（免疫和疾病血液标志物诊断）；还有计算生物学。这项研究将由四个核心设施（基因组学、蛋白质组学、微流体和成像以及计算生物学支持）提供支持。协作互动也将通过学术和工业伙伴关系发生。

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.