A Short Course in Cancer Systems Biology

癌症系统生物学短期课程

基本信息

批准号：
10457423
负责人：
John Lowengrub
金额：
$ 11.76万
依托单位：
UNIVERSITY OF CALIFORNIA-IRVINE
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-18 至 2024-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10457423
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 Models 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

项目摘要

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：该提案旨在建立癌症系统生物学年度短期课程。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有关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。此类问题有特别与癌症生物学相关，控制系统多个级别的扰动会导致异常行为和体内平衡的连锁故障导致疾病。发展高吞吐量数据生成技术及其在癌症中的应用导致焦点从癌细胞的各个组成部分（例如基因）到涉及大规模、非线性相互作用的网络癌细胞与其自身及其微环境之间的信号传导和通讯。这有自然地导致将系统生物学方法引入癌症生物学并取得进展加深我们对癌症发生、进展和治疗反应的基本了解。却普遍存在系统和癌症生物学的整合因缺乏培训而受到阻碍。生物学家和临床医生通常没有接受应用系统所需的数学、统计和计算工具方面的足够培训生物学方法论。另一方面，物理学家、数学家和其他非生物医学领域的人拥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足够的癌症生物学培训才能将这些方法应用于癌症。我们课程的目标是为约 20 名研究生、博士后和经验丰富的研究人员组成的多元化群体提供密集的加州大学欧文分校为期三周的项目旨在弥补个人训练缺陷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中的一部分核心问题。拟议的课程以为期一周的预备研讨会开始，主题为 i) 数学和计算方法，或 ii) 癌症生物学和生物医学基础知识，然后是为期两周的核心课程课程同时使用讲座和实验室模块，让参与者接触最前沿的技术系统学和癌症生物学交叉点的方法和研究主题。讲座和实验室模块将由 19 名 UCI 教员（包括学术和临床）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知识； (3) 培养对数学、统计和计算模型用于生物学和生物医学；（四）提供应用前沿技术的机会针对癌症生物学领域特定问题的系统生物学方法，重点是研究基因组、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（视频记录）、培训数据集和软件工具将通过在线分发免费提供给最大限度地扩大外展范围。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) 是 NIH 十三个国家系统生物学中心之一，与曹氏综合癌症中心，NCI指定综合癌症中心。