A Short Course in Cancer Systems Biology

癌症系统生物学短期课程

• 批准号: 9763534
• 负责人: John Lowengrub
• 金额: $ 17.47万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-18 至 2022-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9763534
• 关键词: Address; Area; Behavior; Big Data; Big Data Methods; Biological Process; Biology; Biomedical Research; California; Cancer Biology; Cancer Research Project; Clinical; Collaborations; Communication; Communities; Complement; Complex; Comprehensive Cancer Center; Computer Simulation; Computer software; Computers; Computing Methodologies; Concept Inventory; Data; Data Analyses; Data Set; Development; Disease; Educational process of instructing; Educational workshop; Engineering; Exposure to; Faculty; Failure; Familiarity; Family; Fostering; Foundations; Funding; Future; Generations; Genes; Genetic; Genomics; Goals; Grant; Growth; Health; Heterogeneity; Homeostasis; Image; Individual; Infrastructure; Instruction; Lead; Logistics; Malignant Neoplasms; Mathematics; Medical Students; Mentors; Methodology; Methods; Modeling; Molecular; Morphogenesis; National Institute of General Medical Sciences; Participant; Performance; Physics; Postdoctoral Fellow; Process; Regulation; Research; Research Activity; Research Personnel; Resources; Sampling; Scientist; Signal Transduction; Software Tools; Statistical Models; System; Systems Biology; Systems Integration; Technology; Testing; Training; Training Activity; United States National Institutes of Health; Universities; Vocabulary; anticancer research; base; cancer cell; cancer initiation; community building; complex biological systems; computer science; computerized tools; data acquisition; design; experience; graduate student; interest; knowledge base; laboratory experiment; laboratory module; learning materials; lectures; mathematical methods; mathematical model; member; neoplastic cell; non-genetic; novel; outreach; programs; skills; spatiotemporal; statistics; tool; treatment response; trend; tumorigenesis

Project Summary: This proposal seeks to establish an annual short course in Cancer Systems Biology. Systems Biology harnesses ideas and methodologies from mathematics, physics, engineering and computer science to tackle fundamental questions about the organization, design and performance of complex biological systems, questions not easily addressed through traditional molecular and cellular approaches. Such questions are particularly relevant to Cancer Biology, where perturbations at multiple levels of control systems lead to aberrant behaviors and cascading failures in homeostasis leading to disease. The development of high throughput data generation technologies and their application in cancer has led to a shift in focus from individual components of cancer cells (e.g., genes) to large-scale, nonlinearly interacting networks involving signaling and communication of cancer cells with themselves and with their microenvironment. This has naturally led to the introduction of Systems Biology approaches into Cancer Biology and resulted in advances in our fundamental understanding of cancer initiation, progression and response to treatment. Yet widespread integration of Systems and Cancer Biology is hampered by a lack of training. Biologists and clinicians typically do not receive sufficient training in mathematical, statistical and computational tools needed to apply Systems Biology methodologies. On the other hand, physicists, mathematicians and others from non-biomedical fields who have the theoretical and computational knowledge base needed for Systems Biology, typically lack sufficient training in cancer biology needed to apply these methodologies to cancer. The goal of our course is to provide a diverse group of about 20 graduate students, postdocs, and experienced researchers an intensive three-week program at the University of California, Irvine to bridge individual training deficits that pose an obstacle to entry into the Cancer Systems Biology field and to provide a high-level systems biology exploration of a subset of core issues in current cancer research. The proposed course begins with a one-week Preparatory Workshop in either i) Mathematical and Computational Methods, or ii) Fundamentals of Cancer Biology and Biomedicine, followed by a two-week Core Course in which both lectures and laboratory modules are used to expose participants to cutting-edge methodologies and research topics at the intersection between Systems and Cancer Biology. Lectures and laboratory modules will be given by 19 UCI faculty (both academic and clinical) with research and teaching expertise in mathematics, physics, computer science, engineering and cancer biology. The goals of the course include (1) conveying an understanding of what Systems Biology is; (2) providing a grounding in mathematical and computational fundamentals; (3) fostering a deep understanding of how mathematical, statistical and computational models are used in biology and biomedicine; (4) providing opportunities to apply cutting-edge Systems Biology methods to specific problems in the areas of cancer biology, with an emphasis on the study of cancer cell heterogeneity and spatiotemporal dynamics at the genomic, cellular and microenvironmental levels; and (5) fostering interdisciplinary interactions among participants and teaching faculty. Lecture materials (video recorded), training datasets, and software tools will be made freely available through on-line distribution to maximize outreach. Course administration and logistics will be handled by the UC Irvine Center for Complex Biological Systems (CCBS), one of thirteen NIH National Centers for Systems Biology, in conjunction with the Chao Family Comprehensive Cancer Center, a NCI-designated comprehensive cancer center.

项目摘要： 该建议旨在建立癌症系统生物学的年度短期课程。系统生物学 利用数学，物理，工程和计算机科学的想法和方法来解决 关于复杂生物系统的组织，设计和性能的基本问题， 通过传统的分子和细胞方法不容易解决问题。这样的问题是 与癌症生物学特别相关，在多个级别的控制系统上扰动 体内平衡的异常行为和级联失败导致疾病。高高的发展 吞吐量数据生成技术及其在癌症中的应用导致重点从 癌细胞的个别成分（例如，基因）到涉及的大规模非线性相互作用网络 癌细胞与自己及其微环境的信号传导和通信。这就是 自然导致系统生物学方法引入癌症生物学，并取得了进步 在我们对癌症开始，进展和对治疗反应的基本理解中。但是很普遍 缺乏培训，系统的整合和癌症生物学的整合受到了阻碍。生物学家和临床医生通常 在应用系统所需的数学，统计和计算工具上没有接受足够的培训 生物学方法论。另一方面，物理学家，数学家和其他非生物医学领域 谁具有系统生物学所需的理论和计算知识库，通常缺乏 需要对癌症生物学的足够培训将这些方法应用于癌症。我们课程的目标是 提供大约20名研究生，博士后和经验丰富的研究人员的多样化小组 在加利福尼亚大学尔湾分校的三周计划，以弥合构成个人培训缺陷 进入癌症系统生物学领域的障碍并提供高级系统生物学探索 当前癌症研究中核心问题的子集。 拟议的课程始于i）数学和 计算方法或ii）癌症生物学和生物医学的基本原理，然后是两周的核心 讲座和实验室模块都可以将参与者暴露于尖端的课程 系统与癌症生物学之间的交集的方法和研究主题。讲座和 实验室模块将由19个UCI教师（学术和临床）提供研究和教学 数学，物理，计算机科学，工程和癌症生物学方面的专业知识。课程的目标 包括（1）传达对哪种系统生物学的理解； （2）在数学上提供基础 和计算基础； （3）对数学，统计和如何深入了解 计算模型用于生物学和生物医学； （4）提供尖端的机会 系统生物学方法是癌症生物学领域的特定问题，重点是研究 癌细胞的异质性和时空动力学在基因组，细胞和微环境水平上； （5）促进参与者和教师之间的跨学科互动。讲座材料（视频 记录），培训数据集和软件工具将通过在线分发免费提供 最大化宣传。课程管理和物流将由UC Irvine Complex中心处理 生物系统（CCB）是13个NIH国家系统生物学中心之一 NCI指定的综合癌症中心Chao Family综合癌症中心。