A National Short Course in Systems Biology: Tackling Spatial Dynamics in Cells an

系统生物学国家短期课程：解决细胞中的空间动力学和

• 批准号: 8079134
• 负责人: Arthur D Lander
• 金额: $ 18.36万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2016-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8079134
• 关键词: Address; Area; Behavior; Bioinformatics; Biological; Biology; Biometry; California; Cell Differentiation process; Cell physiology; Cells; Complex; Computer Simulation; Computer software; Computing Methodologies; Data Set; Databases; Development; Discipline; Disease; Educational workshop; Environment; Faculty; Fluorescence; Fostering; Funding; Genomics; Goals; Grant; Health; Human; Human Development; Individual; Industry; Institutes; Instruction; Laboratories; Learning; Malignant Neoplasms; Morphogenesis; NIH Program Announcements; Online Systems; Participant; Pattern; Process; Property; Recruitment Activity; Research; Research Personnel; Research Training; Resources; Science; Scientist; Senior Scientist; Signal Transduction; Site; Software Tools; Spectrum Analysis; System; Systems Biology; Tissues; Training; United States National Institutes of Health; Universities; Video Recording; age related; biological systems; biomedical scientist; complex biological systems; computerized tools; design; disease transmission; experience; field study; graduate student; infectious disease model; interest; lectures; meetings; member; outreach; prevent; programs; skills; tool; tumor progression; working group

DESCRIPTION (provided by applicant): This proposal aims to establish a National Short Course in Systems Biology that integrates mathematical, statistical and computational approaches to describe biological systems and understand their complex behaviors. The Center for Complex Biological Systems (CCBS) at UC Irvine is ideally suited to host this annual course being one of ten NIH National Centers for Systems Biology. The CCBS is able to leverage substantial faculty educational and research expertise - from a pool of more than 100 active faculty from 18 participating science departments, as well as contributions from preeminent resource facilities such as the Laboratory of Fluorescence Dynamics (LFD) and the Institute for Genomics and Bioinformatics - to create a top-rated training course designed for senior graduate students, postdoctoral researchers, faculty and industry scientists from diverse scientific disciplines who have nascent interests in engaging in Systems Biology research. The course theme will focus on the systems biology of spatial dynamics that impacts key cellular processes including signal transduction networks, cell differentiation, and developmental mechanisms of morphogenesis and patterning. Moreover, experience gained in these systems will enable trainees to apply these skills more generally to other complex systems with spatially dynamic properties. Recruitment and training of research scientists in this thematic area is currently underserved but demand is expected to be significant given the central importance of these processes to many human health related issues, including developmental abnormalities, age-related disease processes, initiation and progression of cancer and infectious disease models that are amenable to systems-oriented analysis and dependent on spatio-temporal factors. The course format will combine didactic lectures with hands-on practical laboratories featuring both biological experimentation and mathematical/computational modeling tutorials. The course design is organized into two principal sections: an optional 1-week Introductory Preparatory Workshop (either in Biology or Mathematical/ Computational Methods) will address individual trainee educational weaknesses by providing essential cross-disciplinary foundational instruction. The second part consists of a 2-week Systems Biology Core Course offering a high-level introduction to spatially dynamic research topics and advanced analytical biometric tools (e.g. advanced correlation spectroscopy and pipeline queries to bioinformatic databases) through project oriented instruction and small group interactions. This unique approach of addressing specific trainee educational deficiencies first, then building strong interdisciplinary collaborative work groups, will enhance course recruitment and entry into this field to research scientists who frequently feel interested but intimidated due to a perceived lack of prior formal training. Beyond providing an intensive on-site training course, all lecture materials (video recorded), training datasets, and software tools will be made freely available through on-line distribution to maximize our outreach efforts. PUBLIC HEALTH RELEVANCE: Funding from this grant will establish an open-access annual course at the University of California Irvine for training scientists with interests in learning System Biology. Systems Biologists combine classical disciplines from biology with mathematical and computational approaches to study complex and dynamic problems in a variety of health related areas, including human development, cancer and infectious disease transmission.

描述（由申请人提供）：该提案旨在建立系统生物学国家短期课程，整合数学、统计和计算方法来描述生物系统并理解其复杂行为。加州大学欧文分校复杂生物系统中心 (CCBS) 作为 NIH 十个国家系统生物学中心之一，非常适合举办这一年度课程。 CCBS 能够利用来自 18 个参与科学系的 100 多名活跃教师的大量教员教育和研究专业知识，以及荧光动力学实验室 (LFD) 和基因组学和生物信息学研究所等卓越资源设施的贡献，创建一流的培训课程，专为来自不同领域的高级研究生、博士后研究人员、教师和行业科学家而设计。 对从事系统生物学研究产生新兴趣的科学学科。课程主题将重点关注影响关键细胞过程的空间动力学系统生物学，包括信号转导网络、细胞分化以及形态发生和模式的发育机制。此外，在这些系统中获得的经验将使学员能够更广泛地将这些技能应用于具有空间动态特性的其他复杂系统。该主题领域的研究科学家的招募和培训目前服务不足，但鉴于这些过程对许多人类健康相关问题的核心重要性，预计需求将很大，包括发育异常、与年龄相关的疾病过程、癌症的发生和进展以及易于进行系统分析并依赖于时空因素的传染病模型。课程形式将教学讲座与实践实验室相结合，以生物实验和数学/计算建模教程为特色。课程设计分为两个主要部分：可选的为期 1 周的入门准备研讨会（生物学或数学/计算方法）将通过提供必要的跨学科基础指导来解决个别学员的教育弱点。第二部分包括为期两周的系统生物学核心课程，通过面向项目的教学和小组互动，对空间动态研究主题和先进的分析生物识别工具（例如高级相关光谱和生物信息数据库的管道查询）进行高级介绍。这种首先解决特定实习生教育缺陷，然后建立强大的跨学科协作工作组的独特方法，将加强课程招募和研究科学家进入该领域，这些科学家经常感到感兴趣，但由于之前缺乏正式培训而感到害怕。除了提供密集的现场培训课程外，所有讲座材料（视频录制）、培训数据集和软件工具都将通过在线分发免费提供，以最大限度地扩大我们的外展工作。 公共卫生相关性：这笔赠款的资金将在加州大学欧文分校开设开放式年度课程，用于培训对学习系统生物学感兴趣的科学家。系统生物学家将生物学的经典学科与数学和计算方法相结合，研究各种健康相关领域的复杂动态问题，包括人类发展、癌症和传染病传播。