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.

项目概要： 这项建议旨在建立一个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思想和方法来解决 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的问题。这些问题是 特别是与癌症生物学相关，其中多个控制系统的扰动导致 行为异常和体内平衡的级联失败导致疾病。发展高 通量数据生成技术及其在癌症中的应用已经导致焦点从 癌细胞的单个组分（例如，基因）到大规模的非线性相互作用网络， 癌细胞与自身及其微环境的信号传导和通信。这 自然导致了系统生物学方法引入癌症生物学，并取得了进展 我们对癌症的发生、发展和治疗反应的基本理解。但分布广泛 系统和癌症生物学的整合受到缺乏培训的阻碍。生物学家和临床医生通常 在应用系统所需的数学，统计和计算工具方面没有接受足够的培训 生物学方法论。另一方面，物理学家、数学家和其他来自非生物医学领域的人 具有系统生物学所需的理论和计算知识基础的人，通常缺乏 需要在癌症生物学方面进行足够的培训，以便将这些方法应用于癌症。我们课程的目标是 为大约20名研究生、博士后和经验丰富的研究人员提供一个密集的 为期三周的计划，在加州大学欧文分校，以弥补个人的训练不足，构成一个 进入癌症系统生物学领域的障碍，并提供高水平的系统生物学探索 当前癌症研究的核心问题的子集。 拟议的课程开始于一个为期一周的预备讲习班，i）数学和 计算方法，或ii）癌症生物学和生物医学基础，然后是为期两周的核心 课程中，讲座和实验室模块被用来让参与者接触最先进的 系统与癌症生物学之间的交叉点的方法和研究课题。讲座和 实验室模块将由19个UCI教师（学术和临床）与研究和教学 在数学、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）传达对系统生物学是什么的理解;（2）提供数学基础 和计算基础;（3）培养对数学，统计和 计算模型用于生物学和生物医学;（4）提供应用尖端技术的机会 系统生物学的方法，以具体的问题，在癌症生物学领域，重点是研究 在基因组、细胞和微环境水平上的癌细胞异质性和时空动态; （5）促进参与者和教师之间的跨学科互动。讲座材料（视频 将通过在线分发免费提供培训数据集和软件工具， 最大限度地扩大影响。课程管理和后勤将由加州大学欧文分校综合中心处理 生物系统（CCBS），美国国立卫生研究院的十三个国家系统生物学中心之一，与 Chao Family Comprehensive Cancer Center是一家美国国家癌症研究所指定的综合性癌症中心。